Experimental Practices
Program Description
The Experimental Practices program provides the participant with the fundamental tools and procedures required to function in the world of statistical experimental design. This program includes all prerequisite courses that are needed to fully comprehend and capitalize on the training of experimental design, commonly referred to as Design of Experiments or simply DOE. This program will arm the participant with the insights necessary to plan, execute, analyze, interpret and report the results of statistically designed experiments as well as how the application of a statistically designed experiment can be used to establish the optimum operating conditions for one or more input variables, also called adjustment factors.
Participants will learn how to translate a practical problem into a statistical problem and then isolate simple and complex cause-and-effect relationships which often remain undetected with traditional problem-solving methods. Students will learn how to depict and communicate the results of a statistics-based experiment in down-to-earth language. Of special interest, the instructional content even provides the participant with the helpful insights, short-cuts and tips on how to establish a post-experiment action plan. A heavy emphasis is placed on the application of fractional factorial experiments. Of course, such experiments are intended to discover the vital few variables as contrasted to the trivial many. In short, fractional factorial experiments can provide a screen for filtering potentially causal variables, thereby allowing the practitioner to discover improvement leverage.
From this frame of reference, the participant will also learn how to use fractional factorial experiments as an economy measure when the availability of samples or the cost of sampling restricts the use of a full factorial experiment. In addition, a primary focus is placed on the key design principles, primary methods of data analysis, and powerful graphical procedures that drives success. From here, the participant is fully prepared to move on to more advanced experimental methods and statistical procedures.
Reinforcement of major concepts, techniques, and applications is realized through exercises, scenarios, case studies, and field studies. Through this training, the participant will gain tremendous insight into the field of statistically designed experiments as well as the logic and reasoning which underlies Six Sigma and business process improvement. Total instructional time for this program is approximately 60 hours.
Training OrientationExcel Orientation - Explore the Excel software package
Instruction Videos
Application Videos
- 2. Basic Nature and Use of Microsoft Excel - Part A - 3m 57s - 3.71 MB
- 3. Basic Nature and Use of Microsoft Excel - Part B - 4m 35s - 4.09 MB
- 4. Basic Nature and Use of Microsoft Excel - Part C - 2m 51s - 2.89 MB
- 5. Basic Nature and Use of Microsoft Excel - Part D - 3m 18s - 5.59 MB
- 6. Basic Nature and Use of Microsoft Excel - Part E - 4m 00s - 3.00 MB
- 7. Basic Nature and Use of Microsoft Excel - Part F - 3m 58s - 3.89 MB
- 8. Basic Nature and Use of Microsoft Excel - Part G - 5m 05s - 6.09 MB
Minitab Orientation - Explore the Minitab software package
Instruction Videos
Application Videos
- 2. Basic Nature and Application of Minitab - Part A - 3m 23s - 3.45 MB
- 3. Basic Nature and Application of Minitab - Part B - 3m 40s - 3.50 MB
- 4. Basic Nature and Application of Minitab - Part C - 3m 33s - 3.03 MB
- 5. Basic Nature and Application of Minitab - Part D - 4m 03s - 4.14 MB
- 6. Basic Nature and Application of Minitab - Part E - 5m 11s - 4.97 MB
- 7. Basic Nature and Application of Minitab - Part F - 4m 59s - 3.93 MB
- 8. Basic Nature and Application of Minitab - Part G - 3m 48s - 3.34 MB
- 9. Basic Nature and Application of Minitab - Part H - 2m 01s - 0.97 MB
Simulator Orientation - Explore the Process Simulator
Instruction Videos
Application Videos
- 2. Basic Operation of SSMI Process Simulator - Part A - 7m 24s - 7.12 MB
- 3. Basic Operation of SSMI Process Simulator - Part B - 4m 32s - 6.16 MB
- 4. Basic Operation of SSMI Process Simulator - Part C - 3m 22s - 3.44 MB
- 5. Basic Operation of SSMI DOE Simulator - Part A - 5m 51s - 7.53 MB
- 6. Basic Operation of SSMI DOE Simulator - Part B - 3m 19s - 4.39 MB
- 7. Basic Operation of SSMI DOE Simulator - Part C - 2m 59s - 3.88 MB
Breakthrough VisionDeterministic Reasoning - Describe a basic cause-and-effect relationship in terms of Y=f(X)
Instruction Videos
- 1. Uncovering Fundamental Cause and Effect Relationships - 2m 38s - 2.51 MB
- 2. Consequential Symptoms and the Nature of Problems - 4m 57s - 4.69 MB
Expansion Videos
- 3. Deterministic Reasoning and Global Business Vision - 1m 01s - 0.71 MB
- 4. Elements of Determinism and the Vital Links to Six Sigma - 4m 05s - 2.19 MB
- 5. Application and Implications of Determinism - Part A - 3m 45s - 2.82 MB
- 6. Application and Implications of Determinism - Part B - 3m 48s - 2.77 MB
- 7. Application and Implications of Determinism - Part C - 6m 34s - 4.48 MB
- 8. Advanced Understanding of Scientific Determinism - 8m 46s - 13.80 MB
- 9. Scientific Determinism and Basic Pragmatism - 10m 27s - 14.99 MB
Application Videos
Supporting Media
Leverage Principle - Relate the principle of leverage to an improvement project
Instruction Videos
- 1. Pragmatic Understandings of Operational Leverage - 4m 27s - 4.20 MB
- 2. Analytical Understandings of Leverage - Part A - 7m 02s - 6.66 MB
- 3. Analytical Understandings of Leverage - Part B - 5m 33s - 5.24 MB
Expansion Videos
- 4. Visualization of Process Leverage and Improvement - 0m 53s - 0.67 MB
- 5. Development of Breakthrough Power - Part A - 4m 01s - 2.09 MB
- 6. Development of Breakthrough Power - Part B - 3m 59s - 1.67 MB
Application Videos
- 7. Competing Strategies for Realizing Leverage - Part A - 3m 27s - 2.44 MB
- 8. Competing Strategies for Realizing Leverage - Part B - 3m 32s - 4.74 MB
- 9. Competing Strategies for Realizing Leverage - Part C - 5m 35s - 5.08 MB
Supporting Media
Process ManagementPerformance Yield - Explain why final yield is often higher than first-time yield
Instruction Videos
- 1. Fundamental Nature and Components of Process Yield - 3m 21s - 3.19 MB
- 2. Changes in Product and Process Yield over Time - 4m 13s - 3.98 MB
- 3. Different Perspectives of Product and Process Yield - 5m 44s - 5.44 MB
- 4. Product Yield and the Poisson Distribution - 6m 50s - 6.46 MB
Expansion Videos
- 5. Connections between Yield and Process Capacity - 0m 42s - 4.35 MB
- 6. Fundamental Concept of Throughput Yield - 2m 45s - 1.15 MB
- 7. Expanded Understanding of Throughput Yield - 3m 09s - 2.02 MB
Application Videos
- 8. Calculations Associated with Throughput Yield - 5m 14s - 3.74 MB
- 9. Four Primary Types of Product and Process Yield - 4m 50s - 3.74 MB
- 10. Product Yield and the Sigma Scale of Measure - 2m 24s - 3.22 MB
- 11. Simulation of Process Yield Using the Poisson Model - 4m 03s - 2.87 MB
- 12. Validation of the Poisson Distribution as a Defect Model - 7m 09s - 9.38 MB
- 13. Linkages between Poisson and the Normal Distribution - 2m 15s - 2.61 MB
- 14. Simulation of Product and Process Yield - Part A - 3m 23s - 3.74 MB
- 15. Simulation of Product and Process Yield - Part B - 4m 58s - 6.69 MB
- 16. Simulation of Product and Process Yield - Part C - 5m 50s - 7.68 MB
- 17. Simulation of Product and Process Yield - Part D - 7m 16s - 9.32 MB
Supporting Media
Hidden Processes - Describe the non-value added component of a process
Instruction Videos
- 1. Connecting Yield Calculations to Hidden Processes - Part A - 5m 09s - 4.86 MB
- 2. Connecting Yield Calculations to Hidden Processes - Part B - 3m 47s - 3.62 MB
- 3. Using Throughput Yield to Manage Critical Processes - 2m 02s - 1.93 MB
- 4. Linkages between Throughput Yield and Cycle Time - 9m 28s - 8.97 MB
Expansion Videos
- 5. Non-Value Added Activities Related to Hidden Processes - 2m 48s - 1.93 MB
- 6. Reasons that Hidden Processes Continue to Thrive - 5m 12s - 2.33 MB
- 7. Association between Capability and Hidden Processes - 6m 31s - 6.79 MB
- 8. Elimination of Hidden Processes and Unnecessary Costs - 6m 00s - 8.97 MB
Supporting Media
Measurement Power - Describe the role of measurement in an improvement initiative
Instruction Videos
- 1. Six Sigma and the Role of Measurement - 3m 41s - 3.47 MB
- 2. Links between DMAIC and the Need for Measurement - 3m 18s - 3.14 MB
- 3. Connecting Defects to the Idea of Uncertainty - 6m 15s - 5.92 MB
- 4. Process Improvement and the Role of Measurement - 6m 55s - 6.55 MB
- 5. Critical Connections Between Measurements and Statistics - 6m 58s - 6.59 MB
Expansion Videos
Application Videos
Supporting Media
Establishing Baselines - Explain why performance baselines are essential to realizing improvement
Instruction Videos
- 1. Nature and Use of Performance Baselines - 4m 10s - 3.94 MB
- 2. Development of Process Capability Baselines - 6m 08s - 5.80 MB
- 3. Performance Baselines and the Standard Deviation - 4m 45s - 4.50 MB
- 4. Sigma Reporting and Performance Benchmarking - 4m 42s - 4.45 MB
Expansion Videos
- 5. Extending the Need for Performance Baselining - 0m 58s - 0.37 MB
- 6. Steps for Calculating a Performance Baseline - Part A - 3m 06s - 3.93 MB
- 7. Steps for Calculating a Performance Baseline - Part B - 3m 01s - 2.07 MB
- 8. Steps for Calculating a Performance Baseline - Part C - 3m 44s - 2.08 MB
Application Videos
- 9. Calculation of a Six Sigma Performance Baseline - Part A - 6m 36s - 5.23 MB
- 10. Calculation of a Six Sigma Performance Baseline - Part B - 2m 28s - 1.86 MB
- 11. Conversion of Probabilities to the Sigma Scale - 4m 17s - 3.09 MB
- 12. Estimating a Sigma Value for the Case of Zero Defects - 1m 57s - 1.52 MB
Supporting Media
Defect Opportunity - Understand the nature of a defect opportunity and its role in metrics reporting
Instruction Videos
- 1. Nature and Character of a Defect Opportunity - 6m 43s - 6.37 MB
- 2. Accounting and Reporting of Defect Opportunities - 5m 18s - 5.01 MB
Expansion Videos
- 3. Gaining a Deeper Understanding of Defect Opportunities - 1m 31s - 0.60 MB
- 4. Methods of Counting Defect Opportunities - Part A - 7m 58s - 11.15 MB
- 5. Methods of Counting Defect Opportunities - Part B - 7m 16s - 10.68 MB
- 6. Methods of Counting Defect Opportunities - Part C - 5m 41s - 6.78 MB
- 7. Basic Criteria for Defining a Defect Opportunity - 2m 50s - 2.76 MB
- 8. Linkage between Defect Opportunities and Probability - 4m 56s - 1.66 MB
- 9. Practical Application of Defect Opportunities - Part A - 5m 41s - 3.37 MB
- 10. Practical Application of Defect Opportunities - Part B - 2m 32s - 3.07 MB
Application Videos
- 11. Practical Methods for Estimating Defect Opportunities - 3m 57s - 3.38 MB
- 12. Creating a Defect Opportunity Matrix - Part A - 3m 22s - 3.14 MB
- 13. Creating a Defect Opportunity Matrix - Part B - 3m 33s - 3.44 MB
Supporting Media
Process Models - Define the key features of a Six Sigma performance model
Instruction Videos
- 1. Applying a Systems Model to the Practice of Six Sigma - 6m 28s - 6.11 MB
- 2. Constructing and Using Basic Histograms - 3m 24s - 3.21 MB
- 3. Constructing a Statistical Performance Model - 6m 24s - 6.06 MB
- 4. Practical Influence of Process Shift and Drift - 4m 49s - 8.48 MB
Expansion Videos
- 5. Understanding the Nature of a Standard Deviation - 6m 36s - 7.29 MB
- 6. Consequential Impact of Process Centering Errors - 5m 39s - 2.83 MB
- 7. Time Related Influences and Process Capability Metrics - 7m 23s - 7.23 MB
- 8. Short-Term Definition of Six Sigma Performance - 5m 02s - 2.08 MB
- 9. Long-Term Definition of Six Sigma Performance - 2m 33s - 1.25 MB
Application Videos
- 10. Construction of a Performance Histogram - Part A - 4m 32s - 4.33 MB
- 11. Construction of a Performance Histogram - Part B - 4m 18s - 4.11 MB
- 12. Construction and Use of a Standard Normal Curve - 4m 02s - 3.81 MB
- 13. Using the DPMO Metric and Sigma Scale of Measure - 10m 01s - 8.90 MB
Supporting Media
Process Capability - Identify the primary indices of process capability
Instruction Videos
- 1. Understanding the Use of Process Capability Ratios - 9m 01s - 8.54 MB
- 2. Process Capability and the Sigma Scale of Measure - 10m 22s - 9.83 MB
- 3. Using Histograms to Study Process Capability - Part A - 4m 23s - 4.15 MB
- 4. Using Histograms to Study Process Capability - Part B - 4m 29s - 4.22 MB
- 5. Process Capability and the Normal Distribution - 3m 24s - 3.20 MB
- 6. Influence of Process Shifts and Drifts on Capability - 4m 26s - 4.18 MB
Expansion Videos
- 7. Understanding the Components of Process Capability - 0m 48s - 0.32 MB
- 8. Connecting Basic Probability to Indices of Capability - 8m 46s - 7.70 MB
Application Videos
- 9. Calculation of Probabilities Based on Defect Rates - 8m 15s - 8.62 MB
- 10. Analyzing and Reporting Process Capability - 4m 48s - 4.85 MB
- 11. Understanding the General Idea of Signal and Noise - 4m 18s - 2.42 MB
- 12. DPMO Calculations for Various Centering Conditions - 5m 30s - 7.69 MB
- 13. Visualizing the Connection of Probability and Capability - 2m 04s - 1.98 MB
- 14. Understanding the Nature of Escaping Defects - 6m 50s - 5.26 MB
- 15. Process Capability Reporting and the Case of Zero Defects - 4m 29s - 3.35 MB
Supporting Media
Design Complexity - Describe the impact of complexity on product and service quality
Instruction Videos
- 1. Basic Concepts of Product and Process Complexity - 1m 51s - 1.77 MB
- 2. Unmasking Product and Process Complexity - 3m 57s - 3.75 MB
- 3. Recognizing the Influence of Complexity on Yield - 5m 05s - 4.81 MB
- 4. Recognizing the Influence of Complexity on Capability - 12m 50s - 12.16 MB
Expansion Videos
Application Videos
- 6. Analysis of Complexity on Capability and DPU - 6m 43s - 5.20 MB
- 7. Interaction of Capability and Complexity - Part A - 6m 45s - 4.79 MB
- 8. Interaction of Capability and Complexity - Part B - 2m 30s - 1.89 MB
- 9. Interaction of Capability and Complexity - Part C - 3m 31s - 3.15 MB
- 10. Interaction of Capability and Complexity - Part D - 6m 16s - 6.97 MB
- 11. Interaction of Capability and Complexity - Part E - 4m 40s - 4.00 MB
- 12. Interaction of Capability and Complexity - Part F - 3m 10s - 3.30 MB
- 13. Interaction of Capability and Complexity - Part G - 7m 59s - 8.83 MB
- 14. Interaction of Capability and Complexity - Part H - 10m 12s - 10.05 MB
Supporting Media
Quality ToolsVariable Classifications - Define the various types of variables commonly encountered during quality improvement
Instruction Videos
- 1. Defining the Main Categories of Performance Variables - 1m 42s - 1.63 MB
- 2. Performance Variables and the Pareto Effect - 1m 57s - 1.86 MB
- 3. Linkage between Variables and Process Capability - 4m 53s - 4.62 MB
Supporting Media
Measurement Scales - Describe each of the four primary scales of measure and their relative power
Instruction Videos
- 1. Nature of Continuous and Discrete Variables - Part A - 4m 04s - 3.85 MB
- 2. Nature of Continuous and Discrete Variables - Part B - 4m 03s - 4.23 MB
- 3. Four Primary Scales of Measure and Definitions - Part A - 3m 55s - 3.46 MB
- 4. Four Primary Scales of Measure and Definitions - Part B - 3m 53s - 3.66 MB
Expansion Videos
Application Videos
- 6. Transformation of Measurement Scales - Part A - 5m 08s - 4.76 MB
- 7. Transformation of Measurement Scales - Part B - 4m 43s - 4.92 MB
- 8. Sensitivity of Continuous and Discrete Scales - 5m 36s - 7.16 MB
- 9. Transformation of Discrete Measurement Scales - 2m 48s - 3.16 MB
- 10. Impact of Measurement Scales on Process Capability - 3m 12s - 2.09 MB
- 11. Identification and Selection of Defect Categories - 2m 13s - 1.27 MB
- 12. Comparative Analysis of Continuous and Discrete Data - 6m 28s - 5.95 MB
Supporting Media
Problem Definition - Characterize the nature of a sound problem statement
Instruction Videos
- 1. Nature and Definition of a Practical Problem - 1m 32s - 1.48 MB
- 2. Documentation of a Process Capability Problem - 4m 12s - 3.96 MB
- 3. Understanding Process Accuracy and Precision - Part A - 2m 27s - 2.35 MB
- 4. Understanding Process Accuracy and Precision - Part B - 2m 46s - 2.65 MB
- 5. Implications of a Process Capability Problem - 2m 57s - 2.81 MB
- 6. Bridging Practical Problems and Statistical Problems - 3m 51s - 3.64 MB
- 7. Common Mistakes in Basic Problem Solving - 3m 36s - 3.44 MB
Expansion Videos
- 8. Developing the Definition of a Problem - Part A - 3m 23s - 3.76 MB
- 9. Developing the Definition of a Problem - Part B - 5m 30s - 3.37 MB
- 10. Essential Criteria for Effective Problem Solving - 5m 11s - 2.31 MB
Supporting Media
Focused Brainstorming - Explain how focused brainstorming is used to facilitate improvement efforts
Instruction Videos
Expansion Videos
- 2. Key Phases of Effective Brainstorming - Part A - 3m 01s - 1.39 MB
- 3. Key Phases of Effective Brainstorming - Part B - 3m 57s - 2.84 MB
Supporting Media
Matrix Analysis - Understand how matrices are created and used to facilitate problem solving
Instruction Videos
- 1. Nature and Purpose of Matrix Analysis - 4m 47s - 4.52 MB
- 2. Use of RxC Matrices for Decision Making - 2m 11s - 2.08 MB
Application Videos
- 3. Simulation of a General Matrix Analysis - Part A - 3m 31s - 3.79 MB
- 4. Simulation of a General Matrix Analysis - Part B - 6m 27s - 6.92 MB
Supporting Media
C&E Analysis - Explain how C&E matrices can be used to solve quality problems
Instruction Videos
- 1. Understanding the Nature and Purpose of C&E Analysis - 2m 57s - 2.82 MB
- 2. Pragmatic Application of a C&E Matrix - 3m 05s - 2.94 MB
Supporting Media
Performance Sampling - Explain how to design and implement a sampling plan
Instruction Videos
- 1. Nature and Purpose of a Performance Sampling - 1m 48s - 1.72 MB
- 2. Underlying Principles of Random Sampling - 2m 23s - 2.28 MB
- 3. Underlying Principles of Stratified Sampling - 3m 39s - 3.45 MB
- 4. Basic Nature and Use of Sequential Sampling - 2m 17s - 2.19 MB
Expansion Videos
Application Videos
Supporting Media
Check Sheets - Understand how check sheets can be used for purposes of data collection
Instruction Videos
- 1. Nature and Purpose of Check Sheets - 3m 05s - 2.94 MB
- 2. Use of Check Sheets to Facilitate Data Collection - 3m 35s - 3.38 MB
Expansion Videos
Application Videos
Supporting Media
Analytical Charts - Identify the general range of analytical charts that can be used to assess performance
Instruction Videos
Application Videos
- 2. Fundamental Purpose and Use of Bar Charts - 4m 45s - 5.70 MB
- 3. Fundamental Purpose and Use of Pie Charts - 3m 18s - 2.86 MB
- 4. Illustration of Common Graphing Techniques - 5m 17s - 6.45 MB
Supporting Media
Pareto Charts - Explain how Pareto charts can be used to isolate improvement leverage
Instruction Videos
Application Videos
- 2. Creation and Use of a Pareto Chart - Part A - 6m 00s - 7.71 MB
- 3. Creation and Use of a Pareto Chart - Part B - 6m 36s - 5.57 MB
- 4. Advanced Application of Pareto Analysis - 5m 16s - 5.43 MB
Supporting Media
Run Charts - Utilize run charts to assess and characterize time-based process data
Instruction Videos
Application Videos
- 2. Creation and Use of a Run Chart - 4m 34s - 4.61 MB
- 3. Creation and Use of a Time Series Plot - 3m 34s - 3.03 MB
Supporting Media
Correlation Charts - Utilize a correlation chart to illustrate the association between two variables
Instruction Videos
- 1. Nature and Purpose of Correlation Charts - 4m 49s - 4.55 MB
- 2. Use of Scatter Plots for Predicting Performance - 3m 57s - 3.72 MB
- 3. Understanding Nonlinear Variable Relationships - 2m 59s - 2.84 MB
Application Videos
- 4. Construction and Use of a Scatter Plot - Part A - 5m 35s - 4.59 MB
- 5. Construction and Use of a Scatter Plot - Part B - 5m 35s - 4.14 MB
- 6. Using Conditional Distributions in Forecasting Work - 5m 56s - 5.64 MB
- 7. Creation and Interpretation of a Fitted Line Plot - 3m 26s - 4.24 MB
- 8. Illustrated Nature and Meaning of Inverse Correlation - 1m 39s - 1.65 MB
- 9. Use and Interpretation of Marginal Distribution Plots - 4m 07s - 3.05 MB
- 10. Use and Interpretation of 3D Scatter Plots - 5m 12s - 4.96 MB
- 11. Use and Interpretation of Stratified Scatter Plots - 4m 48s - 3.94 MB
- 12. Use and Interpretation of a Matrix Plot - 5m 05s - 4.17 MB
- 13. Basic Concept of a Fitted-Line Regression Plot - 3m 08s - 1.34 MB
- 14. Advanced Application and Use of Scatter Plots - 5m 08s - 5.15 MB
Supporting Media
Frequency Tables - Explain how to construct and interpret a frequency table
Instruction Videos
Application Videos
- 2. Creation and Interpretation of a Frequency Table - 5m 34s - 7.04 MB
- 3. Extended Application of Frequency Tables - Part A - 3m 34s - 4.04 MB
- 4. Extended Application of Frequency Tables - Part B - 1m 47s - 2.11 MB
Supporting Media
Performance Histograms - Construct and interpret a histogram and describe several purposes
Instruction Videos
- 1. Nature and Purpose of a Histogram - 5m 23s - 5.10 MB
- 2. Inclusion of Specification Limits on Histograms - 4m 36s - 4.35 MB
- 3. Use of Histograms in Process Capability Work - 2m 34s - 2.45 MB
- 4. Use of Histograms with Scatter Plots - 2m 52s - 2.73 MB
- 5. Use of Histograms with Experimental Design - 2m 28s - 2.36 MB
- 6. Use of Histograms for Characterizing Distributions - 5m 08s - 4.87 MB
Expansion Videos
Application Videos
- 8. Construction and Interpretation of a Histogram - 6m 09s - 6.91 MB
- 9. Simulation and Interpretation of a Histogram - 6m 27s - 5.49 MB
- 10. Construction and Use of a Probability Plot - 6m 22s - 5.98 MB
- 11. Use of Histograms with Autocorrelation - 6m 48s - 8.66 MB
- 12. Use of Histograms with Common Probability Plots - 9m 26s - 9.26 MB
- 13. Use of Histograms to Support Basic Statistics - 3m 27s - 3.26 MB
- 14. Use of Histograms to Support Six Sigma Work - 4m 41s - 4.48 MB
- 15. Use of Histograms to Support Data Transformations - 5m 13s - 6.16 MB
Supporting Media
Basic Probability - Understand basic probability theory and how it relates to process improvement
Instruction Videos
- 1. Basic Understanding and Principles of Probability - 6m 30s - 6.14 MB
- 2. Linking Performance Yield to Basic Probability - 5m 33s - 5.25 MB
- 3. Connecting Probability Theory to a Pair of Dice - 5m 44s - 5.41 MB
- 4. Associating Basic Probability and Histograms - 6m 14s - 5.90 MB
Expansion Videos
Supporting Media
Search Patterns - Explain how the use of designed experiments can facilitate problem solving
Instruction Videos
- 1. Nature and Purpose of Search Patterns - 8m 06s - 7.68 MB
- 2. Manipulating Variables to Discover Patterns - 6m 23s - 6.03 MB
- 3. Explaining the Logic of Performance Optimization - 6m 55s - 6.55 MB
Application Videos
- 4. Simulation of an Optimization Search Pattern - 5m 51s - 4.33 MB
- 5. Illustration of an Experimental Search Pattern - 4m 58s - 5.20 MB
Supporting Media
Concept Integration - Understand how to sequence a given selection of quality tools to better solve problems
Instruction Videos
- 1. Integrated Application of Basic Quality Tools - Part A - 7m 19s - 6.93 MB
- 2. Integrated Application of Basic Quality Tools - Part B - 5m 20s - 5.04 MB
- 3. Integrated Application of Basic Quality Tools - Part C - 4m 17s - 4.04 MB
- 4. Integrated Application of Basic Quality Tools - Part D - 4m 22s - 4.14 MB
Expansion Videos
Application Videos
- 6. Practical Application of Quality Tools - Part A - 7m 44s - 7.02 MB
- 7. Practical Application of Quality Tools - Part B - 6m 52s - 6.97 MB
- 8. Practical Application of Quality Tools - Part C - 5m 14s - 5.43 MB
- 9. Practical Application of Quality Tools - Part D - 3m 06s - 2.67 MB
- 10. Practical Application of Quality Tools - Part E - 4m 19s - 3.17 MB
- 11. Practical Application of Quality Tools - Part F - 5m 17s - 4.95 MB
- 12. Practical Application of Quality Tools - Part G - 3m 41s - 4.16 MB
Supporting Media
Quality Simulation - Employ the related quality tools to analyze data generated by the process simulator
Application Videos
- 1. Simulated Example and Use of Quality Tools - Part A - 3m 08s - 4.29 MB
- 2. Simulated Example and Use of Quality Tools - Part B - 2m 08s - 2.27 MB
- 3. Simulated Example and Use of Quality Tools - Part C - 3m 05s - 3.10 MB
- 4. Simulated Example and Use of Quality Tools - Part D - 6m 23s - 6.30 MB
- 5. Simulated Example and Use of Quality Tools - Part E - 3m 28s - 3.44 MB
Basic StatisticsPerformance Variables - Identify and describe the types of variables typically encountered in field work
Instruction Videos
- 1. Key Types of Six Sigma Performance Variables - 6m 50s - 6.47 MB
- 2. Relationship between Performance Variables and Data - 3m 36s - 3.40 MB
Supporting Media
Statistical Notation - Recognize and interpret the conventional forms of statistical notation
Instruction Videos
- 1. Nature and Purpose of Statistical Notation - 3m 45s - 3.56 MB
- 2. Summation and the Related Statistical Notation - 3m 44s - 3.51 MB
- 3. Multiplication and the Related Statistical Notation - 3m 48s - 3.57 MB
- 4. Use and Application of Double Summation - 7m 35s - 7.17 MB
- 5. Meaning and Use of Sub-Script Notation - 4m 15s - 4.02 MB
- 6. Common Types of Notation Used in Statistical Work - 7m 58s - 7.55 MB
Application Videos
- 7. Spreadsheet Method for Simple Addition - Part A - 3m 25s - 4.40 MB
- 8. Spreadsheet Method for Simple Addition - Part B - 4m 55s - 5.50 MB
- 9. Spreadsheet Method for Simple Multiplication - 3m 10s - 3.94 MB
- 10. Spreadsheet Method for Double Summation - 2m 18s - 2.73 MB
Supporting Media
Performance Variation - Explain the basic nature of variation and how it can adversely impact quality
Instruction Videos
- 1. Understanding the Nature and Character of Variation - 7m 13s - 6.85 MB
- 2. Describing a Deviation in Performance Expectation - 3m 20s - 3.15 MB
- 3. Grasping the Implications of Common Variation - Part A - 5m 03s - 2.62 MB
- 4. Grasping the Implications of Common Variation - Part B - 6m 48s - 6.44 MB
Supporting Media
Normal Distribution - Describe the features and properties that are characteristic of a normal distribution
Instruction Videos
- 1. Characterization and Use of a Normal Distribution - 6m 47s - 6.42 MB
- 2. Understanding the Nature and Purpose of Exact Limits - 4m 10s - 3.93 MB
- 3. Nature and Use of Scaled Intervals - Part A - 4m 42s - 4.43 MB
- 4. Nature and Use of Scaled Intervals - Part B - 3m 22s - 3.16 MB
- 5. Connecting Sample Size and Interval Width - 3m 50s - 3.62 MB
- 6. Exploring the Equation for a Normal Distribution - 8m 49s - 8.38 MB
- 7. Links between a Frequency Table and Bell Curve - 5m 26s - 5.14 MB
Expansion Videos
Application Videos
- 9. Statistical Fit of Empirical Data to a Bell Curve - 5m 38s - 7.52 MB
- 10. Simulation and Interpretation of a Z Distribution - 4m 12s - 3.32 MB
Supporting Media
Distribution Analysis - Explain how to test the assumption that a set of data is normally distributed
Instruction Videos
- 1. Nature and Purpose of Distribution Analysis - 3m 08s - 3.01 MB
- 2. Probability Plot Associated with a Normal Distribution - 7m 39s - 7.24 MB
Application Videos
- 3. Construction and Interpretation of a Probability Plot - 3m 40s - 3.59 MB
- 4. Fit of Performance Data to Selected Distributions - 3m 46s - 3.62 MB
- 5. Addition and Analysis of Two Normal Distributions - 4m 52s - 5.48 MB
- 6. Multiplication and Analysis of Two Normal Distributions - 3m 57s - 4.85 MB
- 7. Using Chi-Square for Distribution Analysis - Part A - 7m 37s - 9.39 MB
- 8. Using Chi-Square for Distribution Analysis - Part B - 6m 54s - 9.64 MB
- 9. Reconciliation of Applied Statistics and Basic Graphs - 3m 32s - 2.16 MB
- 10. Use of Transformations to Improve Distribution Fit - 4m 26s - 3.87 MB
- 11. Purpose and Use of a Standard Box plot - 4m 47s - 5.26 MB
- 12. Interpretation and Analysis of a Standard Box plot - 5m 35s - 4.18 MB
- 13. Standard Box plots and Non-Normal Data - 3m 44s - 2.59 MB
- 14. Effective Transformation of Cycle Time Data - 6m 48s - 6.75 MB
- 15. Calculation and Use of Quadratic Transformations - 4m 38s - 5.11 MB
- 16. General Types of Common Data Transformations - 6m 03s - 6.22 MB
Supporting Media
Location Indices - Identify, compute, and interpret the mean, median, and mode
Instruction Videos
- 1. Three Primary Indices of Central Location - 4m 13s - 3.99 MB
- 2. Computation of a Simple Mean and Mode - 2m 39s - 2.53 MB
- 3. Computation and Interpretation of a Median - 5m 34s - 5.26 MB
- 4. Distribution of Sampling Averages and Implications - 5m 17s - 4.99 MB
Expansion Videos
- 5. Links between Sample Size and Spread - Part A - 5m 01s - 4.68 MB
- 6. Links between Sample Size and Spread - Part B - 5m 50s - 3.18 MB
Application Videos
- 7. Calculation and Interpretation of Location Indices - Part A - 6m 25s - 9.11 MB
- 8. Calculation and Interpretation of Location Indices - Part B - 4m 49s - 5.93 MB
- 9. Calculation and Interpretation of Location Indices - Part C - 2m 17s - 3.05 MB
Supporting Media
Dispersion Indices - Identify, compute, and interpret the range, variance, and standard deviation
Instruction Videos
- 1. Understanding the Basic Idea of Data Dispersion - 3m 54s - 3.68 MB
- 2. Exploring an Example Set of Raw Deviations - 3m 50s - 3.63 MB
- 3. Examining the Nature and Use of a Mean Deviation - 6m 10s - 5.84 MB
- 4. Examining the Nature and Use of a Quadratic Deviation - 9m 06s - 8.65 MB
- 5. Understanding and Interrogating the Sum-of-Squares (SS) - 5m 25s - 5.13 MB
- 6. Using the Variance to Assess Dispersion - 4m 23s - 4.14 MB
- 7. Using the Standard Deviation to Assess Dispersion - 6m 36s - 6.24 MB
- 8. Geometric Visualization of a Standard Deviation - 3m 58s - 3.75 MB
- 9. Geometric Visualization of a Variance - 9m 36s - 9.11 MB
Application Videos
- 10. Hand Calculation of a Standard Deviation - Part A - 5m 39s - 7.43 MB
- 11. Hand Calculation of a Standard Deviation - Part B - 3m 54s - 4.79 MB
- 12. Hand Calculation of a Standard Deviation - Part C - 4m 32s - 6.00 MB
- 13. Calculation and Use of a Simple Range - 2m 31s - 2.97 MB
- 14. Range Method for Calculating the Standard Deviation - 7m 03s - 9.47 MB
Supporting Media
Quadratic Deviations - Understand the nature of a quadratic deviation and its basic purpose
Instruction Videos
Application Videos
- 2. Behavior and Influence of Quadratic Deviations - 4m 35s - 3.76 MB
- 3. Graphical Visualization of Quadratic Deviations - Part A - 4m 38s - 5.95 MB
- 4. Graphical Visualization of Quadratic Deviations - Part B - 8m 13s - 10.56 MB
Supporting Media
Variation Coefficient - Compute and interpret the coefficient of variation
Instruction Videos
Application Videos
Supporting Media
Deviation Freedom - Explain the concept of degrees-of-freedom and how it is used in statistical work
Instruction Videos
- 1. Describing Degrees-of-Freedom and Key Insights - 5m 41s - 5.38 MB
- 2. Establishing and Interpreting Degrees-of-Freedom (DF) - 5m 01s - 4.75 MB
- 3. Links between Degrees-of-Freedom and Statistics - 2m 39s - 2.53 MB
Application Videos
- 4. Spreadsheet Calculation for Degrees-of-Freedom (DF) - 6m 01s - 7.60 MB
- 5. Defining the Degrees-of-Freedom for a Simple Matrix - 5m 31s - 6.36 MB
- 6. Degrees-of-Freedom in the Context of Sub grouping - 4m 54s - 6.76 MB
Supporting Media
Standard Transform - Describe how to transform a set of raw data into standard normal deviates
Instruction Videos
Application Videos
- 2. Calculation of the Standard Normal Deviate (Z) - 5m 22s - 7.22 MB
- 3. Linkage between Z Values and Histograms - Part A - 5m 39s - 7.19 MB
- 4. Linkage between Z Values and Histograms - Part B - 6m 50s - 8.63 MB
- 5. Linkage between Z Values and Histograms - Part C - 9m 10s - 9.14 MB
- 6. Connection between Z Values and Performance Specifications - 8m 12s - 11.12 MB
- 7. Uses and Implications of an Equivalent Z Value (Z.EQ) - 4m 10s - 5.26 MB
Supporting Media
Standard Z-Probability - Describe how to convert a standard normal deviate into its corresponding probability
Instruction Videos
Expansion Videos
Application Videos
- 3. Creation of a Standard Normal Probability Table - 6m 31s - 9.20 MB
- 4. Spreadsheet Calculation of Standard Z Probabilities - 7m 53s - 10.99 MB
- 5. Spreadsheet Calculation of Defect Probabilities - Part A - 7m 12s - 10.13 MB
- 6. Spreadsheet Calculation of Defect Probabilities - Part B - 3m 40s - 4.35 MB
Supporting Media
Central Limit - Understand that the distribution of sampling averages follows a normal distribution
Instruction Videos
Application Videos
- 2. Demonstrating the Central Limit Theorem - Part A - 7m 59s - 7.91 MB
- 3. Demonstrating the Central Limit Theorem - Part B - 4m 13s - 4.09 MB
Supporting Media
Standard Error - Recognize that the dispersion of sampling averages is described by the standard error
Instruction Videos
- 1. Nature and Composition of the Standard Error - 6m 46s - 6.41 MB
- 2. Standard Errors and the Normal Distribution - 2m 52s - 2.73 MB
- 3. Applications and Uses of the Standard Error - 3m 54s - 3.69 MB
Supporting Media
Student's Distribution - Understand that the T distribution applies when sampling is less than infinite
Instruction Videos
Supporting Media
Standard T-Probability - Describe how to convert a T value into its corresponding probability
Instruction Videos
Application Videos
- 2. Spreadsheet Setup and Calculation of T-Probabilities - 5m 23s - 6.23 MB
- 3. Impact of Degrees-of-Freedom on T-Values and Probability - 5m 50s - 6.44 MB
Supporting Media
Statistics Simulation - Employ basic statistics to analyze data generated by the process simulator
Application Videos
Hypothesis TestingStatistical Inferences - Explain the concept of a statistical inference and its primary benefits
Instruction Videos
Expansion Videos
Application Videos
- 3. Analytical Perspective of Statistical Inferences - Part A - 6m 55s - 9.72 MB
- 4. Analytical Perspective of Statistical inferences - Part B - 5m 43s - 7.21 MB
Supporting Media
Statistical Questions - Explain the nature and purpose of a statistical question
Instruction Videos
- 1. Nature and Purpose of Statistical Questions - Part A - 4m 39s - 4.38 MB
- 2. Nature and Purpose of Statistical Questions - Part B - 2m 21s - 2.24 MB
Application Videos
- 3. Formulation of Statistical Questions - Part A - 5m 58s - 8.02 MB
- 4. Formulation of Statistical Questions - Part B - 2m 51s - 3.66 MB
- 5. Formulation of Statistical Questions - Part C - 4m 46s - 4.92 MB
Supporting Media
Statistical Problems - Understand why practical problems must be translated into statistical problems
Instruction Videos
- 1. Nature and Implications of Statistical Problems - Part A - 5m 32s - 5.24 MB
- 2. Nature and Implications of Statistical Problems - Part B - 5m 11s - 4.92 MB
Supporting Media
Null Hypotheses - Define the nature and role of null hypotheses when making process improvements
Instruction Videos
- 1. Nature and Purpose of a Null Hypothesis - Part A - 8m 18s - 7.86 MB
- 2. Nature and Purpose of a Null Hypothesis - Part B - 6m 22s - 6.02 MB
- 3. Null Hypotheses and the Distribution of Chance - Part A - 3m 45s - 3.54 MB
- 4. Null Hypotheses and the Distribution of Chance - Part B - 4m 11s - 3.95 MB
Application Videos
- 5. Null Hypotheses and Random Chance Error - Part A - 4m 30s - 6.11 MB
- 6. Null Hypotheses and Random Chance Error - Part B - 4m 23s - 3.52 MB
Supporting Media
Alternate Hypotheses - Define the nature and role of alternate hypotheses when making process improvements
Instruction Videos
- 1. Nature and Aim of the Alternate Hypothesis - Part A - 7m 34s - 7.17 MB
- 2. Nature and Aim of the Alternate Hypothesis - Part B - 5m 41s - 5.38 MB
Application Videos
Supporting Media
Statistical Significance - Explain the concept of statistical significance versus practical significance
Instruction Videos
- 1. Meaning and Implication of Statistical Significance - 6m 58s - 6.59 MB
- 2. Alternate Hypotheses and Statistical Significance - 9m 03s - 8.57 MB
- 3. Illustration and Explanation of Statistical Significance - 6m 03s - 5.73 MB
- 4. Statistical Significance and the Standard Error - Part A - 3m 56s - 3.71 MB
- 5. Statistical Significance and the Standard Error - Part B - 8m 31s - 8.07 MB
Application Videos
- 6. Dynamic Simulation of Statistical Significance - Part A - 4m 03s - 3.73 MB
- 7. Dynamic Simulation of Statistical Significance - Part B - 6m 53s - 7.13 MB
- 8. Dynamic Simulation of Statistical Significance - Part C - 5m 03s - 5.31 MB
- 9. Dynamic Simulation of Statistical Significance - Part D - 5m 35s - 4.50 MB
Supporting Media
Alpha Risk - Explain the concept of alpha risk in terms of the alternate hypothesis
Instruction Videos
Expansion Videos
Application Videos
- 3. Links between the Sample Mean and Alpha Risk - 8m 07s - 9.87 MB
- 4. Links between the Sample Variance and Alpha Risk - 4m 26s - 5.83 MB
Supporting Media
Beta Risk - Define the meaning of beta risk and how it relates to test sensitivity
Instruction Videos
- 1. Central Meaning and Implication of Beta Risk - Part A - 4m 46s - 4.84 MB
- 2. Central Meaning and Implication of Beta Risk - Part B - 6m 01s - 6.10 MB
- 3. Connecting Beta Risk to the Power of Test - 7m 02s - 7.14 MB
Expansion Videos
Application Videos
- 5. Links between a Sample Mean and Beta Risk - 6m 45s - 7.21 MB
- 6. Links between a Sample Variance and Beta Risk - 7m 47s - 10.46 MB
Supporting Media
Criterion Differences - Explain the role of a criterion difference when testing hypotheses
Instruction Videos
Application Videos
Supporting Media
Decision Scenarios - Develop a scenario that exemplifies the use of hypothesis testing
Instruction Videos
- 1. Types of Decision Errors and the Truth Table - 4m 18s - 4.35 MB
- 2. Truth Tables Applied to Statistical Hypotheses - 7m 06s - 7.23 MB
Expansion Videos
- 3. Application of Statistical Decision Making - Part A - 1m 58s - 1.34 MB
- 4. Application of Statistical Decision Making - Part B - 3m 47s - 7.82 MB
Supporting Media
Sample Size - Define the statistical elements that must be considered when computing sample size
Instruction Videos
- 1. Nature and Implications of Sample Size - Part A - 3m 50s - 3.89 MB
- 2. Nature and Implications of Sample Size - Part B - 3m 58s - 4.06 MB
- 3. Determination of Sample Size for Experiments - Part A - 7m 00s - 7.12 MB
- 4. Determination of Sample Size for Experiments - Part B - 8m 13s - 8.35 MB
- 5. Key Considerations for Computing Sample Size - 9m 41s - 9.85 MB
- 6. Calculation of an Appropriate Sample Size - Part A - 5m 14s - 5.32 MB
- 7. Calculation of an Appropriate Sample Size - Part B - 3m 15s - 3.32 MB
- 8. Calculation of an Appropriate Sample Size - Part C - 5m 26s - 5.51 MB
- 9. Calculation of an Appropriate Sample Size - Part D - 7m 42s - 7.85 MB
- 10. Calculation of an Appropriate Sample Size - Part E - 6m 12s - 6.29 MB
- 11. Relationship between Six Sigma and Sample Size - 9m 29s - 9.64 MB
- 12. Role of Sample Size in Hypothesis Testing - Part A - 5m 46s - 5.85 MB
- 13. Role of Sample Size in Hypothesis Testing - Part B - 7m 41s - 7.81 MB
Application Videos
- 14. Example Calculation of Sample Size - Part A - 6m 34s - 3.04 MB
- 15. Example Calculation of Sample Size - Part B - 3m 38s - 1.84 MB
- 16. Calculation of Sample Size for Discrete Data - Part A - 3m 57s - 4.10 MB
- 17. Calculation of Sample Size for Discrete Data - Part B - 2m 49s - 2.81 MB
- 18. Power of a Test and Random Sampling - Part A - 4m 48s - 4.35 MB
- 19. Power of a Test and Random Sampling - Part B - 1m 41s - 1.90 MB
- 20. Power of a Test and Random Sampling - Part C - 3m 03s - 3.59 MB
Supporting Media
Confidence IntervalsMean Distribution - Comprehend and characterize the distribution of sampling averages
Instruction Videos
Supporting Media
Mean Interval - Compute and interpret the confidence interval of a mean
Instruction Videos
- 1. Establishing Confidence Intervals for the Mean - Part A - 4m 51s - 4.58 MB
- 2. Establishing Confidence Intervals for the Mean - Part B - 8m 50s - 8.38 MB
- 3. Establishing Confidence Intervals for the Mean - Part C - 3m 22s - 3.21 MB
- 4. Establishing Confidence Intervals for the Mean - Part D - 6m 25s - 6.06 MB
- 5. Interpretation of a Mean Confidence Interval - Part A - 7m 06s - 6.72 MB
- 6. Interpretation of a Mean Confidence Interval - Part B - 3m 25s - 3.23 MB
Application Videos
- 7. Dynamic Simulation of a Mean Confidence Interval - 7m 40s - 9.46 MB
- 8. Utilization of a Mean Confidence Interval - Part A - 4m 25s - 3.08 MB
- 9. Utilization of a Mean Confidence Interval - Part B - 4m 40s - 3.89 MB
- 10. Utilization of a Mean Confidence Interval - Part C - 3m 45s - 2.68 MB
Supporting Media
Variance Distribution - Comprehend and characterize the distribution of sampling variances
Instruction Videos
- 1. Exploring the Distribution of Sampling Variances - Part A - 2m 43s - 2.60 MB
- 2. Exploring the Distribution of Sampling Variances - Part B - 7m 59s - 7.58 MB
- 3. Exploring the Distribution of Sampling Variances - Part C - 2m 38s - 2.52 MB
Application Videos
Supporting Media
Variance Interval - Compute and interpret the confidence interval of a variance
Instruction Videos
- 1. Establishing Confidence Intervals for the Variance - Part A - 5m 32s - 5.24 MB
- 2. Establishing Confidence Intervals for the Variance - Part B - 7m 15s - 6.87 MB
- 3. Establishing Confidence Intervals for the Variance - Part C - 6m 01s - 5.68 MB
Application Videos
- 4. Simulation of a Variance Confidence Interval - Part A - 5m 06s - 6.57 MB
- 5. Simulation of a Variance Confidence Interval - Part B - 6m 17s - 8.02 MB
- 6. Statistical Comparison of Variance Confidence Intervals - 5m 41s - 3.50 MB
Supporting Media
Proportion Distribution - Comprehend and characterize the distribution of sampling proportions
Instruction Videos
Supporting Media
Proportion Interval - Compute and interpret the confidence interval of a proportion
Instruction Videos
- 1. Establishing Confidence Intervals for a Proportion - Part A - 7m 42s - 7.30 MB
- 2. Establishing Confidence Intervals for a Proportion - Part B - 6m 16s - 5.93 MB
Application Videos
- 3. Confidence Interval of Process Yield and Interpretation - 3m 14s - 1.81 MB
- 4. Testing a Proportion Using a Basic Z-Test - Part A - 3m 48s - 3.19 MB
- 5. Testing a Proportion Using a Basic Z-Test - Part B - 2m 38s - 2.28 MB
- 6. Impact of Sample Size on Discrete Confidence Intervals - 3m 24s - 3.51 MB
Supporting Media
Frequency Interval - Describe how frequency of defects is related to confidence intervals
Instruction Videos
- 1. Statistical Confidence Intervals for Frequencies - 6m 52s - 7.00 MB
- 2. Confidence Intervals for Defects-Per-Unit (DPU) - Part A - 4m 56s - 5.00 MB
- 3. Confidence Intervals for Defects-Per-Unit (DPU) - Part B - 5m 13s - 5.31 MB
Supporting Media
Parametric MethodsMean Differences - Determine if two means are statistically different from each other
Instruction Videos
- 1. Statistical Reasoning behind the Test of a Single Mean - 5m 21s - 5.06 MB
- 2. Statistical Tools for Testing a Single Mean - Part A - 6m 07s - 5.79 MB
- 3. Statistical Tools for Testing a Single Mean - Part B - 15m 16s - 12.43 MB
- 4. Two-Group Comparison of Mean Differences - Part A - 8m 28s - 8.01 MB
- 5. Two-Group Comparison of Mean Differences - Part B - 7m 37s - 7.22 MB
- 6. Two-Group Comparison of Mean Differences - Part C - 14m 09s - 12.92 MB
- 7. Two-Group Comparison of Mean Differences - Part D - 6m 19s - 5.99 MB
Expansion Videos
- 8. Simulation of a Typical Two-Group Comparison - Part A - 7m 14s - 3.77 MB
- 9. Simulation of a Typical Two-Group Comparison - Part B - 4m 00s - 2.17 MB
- 10. Simulation of a Typical Two-Group Comparison - Part C - 4m 16s - 2.23 MB
- 11. Simulation of a Typical Two-Group Comparison - Part D - 3m 14s - 1.95 MB
Application Videos
- 12. Calculations for a 2-Sample T-Test - Part A - 5m 09s - 6.41 MB
- 13. Calculations for a 2-Sample T-Test - Part B - 5m 29s - 7.25 MB
- 14. Calculations for a 2-Sample T-Test - Part C - 5m 14s - 5.99 MB
Supporting Media
Variance Differences - Determine if two variances are statistically different from each other
Instruction Videos
- 1. Nature and Purpose of a Two-Group Variance Test - 3m 14s - 3.04 MB
- 2. Execution and Analysis of a 2-Sample F-Test - Part A - 6m 50s - 6.46 MB
- 3. Execution and Analysis of a 2-Sample F-Test - Part B - 5m 52s - 5.54 MB
- 4. Execution and Analysis of a 2-Sample F-Test - Part C - 5m 20s - 5.04 MB
- 5. Execution and Analysis of a 2-Sample F-Test - Part D - 4m 16s - 4.03 MB
Application Videos
- 6. Spreadsheet Calculation of a Simple F-Test - Part A - 3m 08s - 2.22 MB
- 7. Spreadsheet Calculation of a Simple F-Test - Part B - 4m 28s - 5.25 MB
- 8. Spreadsheet Calculation of a Simple F-Test - Part C - 2m 29s - 2.95 MB
- 9. Use of Confidence Intervals for Testing Variances - 3m 57s - 4.10 MB
Supporting Media
Variation Total - Compute and interpret the total sums-of-squares
Instruction Videos
- 1. Compilation and Analysis of the Total Variation - 8m 06s - 7.67 MB
- 2. Essential Concepts Related to the Total Variation - 5m 08s - 4.85 MB
Application Videos
Supporting Media
Variation Within - Compute and interpret the within-group sums-of-squares
Instruction Videos
Application Videos
Supporting Media
Variation Between - Compute and interpret the between-group sums-of-squares
Instruction Videos
Application Videos
Supporting Media
Variation Analysis - Explain how the analysis of variances can reveal mean differences
Instruction Videos
- 1. Purpose and Aims of a Variation Analysis - 9m 59s - 9.45 MB
- 2. Primary Sources of Process Variation - Part A - 10m 11s - 9.65 MB
- 3. Primary Sources of Process Variation - Part B - 5m 30s - 5.20 MB
Application Videos
Supporting Media
One-Way ANOVA - Construct and interpret a one-way analysis-of-variance table
Instruction Videos
- 1. Nature and Purpose of One-Way ANOVA - 13m 43s - 13.02 MB
- 2. Comparison of Multiple Groups using One-Way ANOVA - 5m 09s - 4.87 MB
- 3. One-Way ANOVA Table and Interpretation - Part A - 5m 33s - 5.25 MB
- 4. One-Way ANOVA Table and Interpretation - Part B - 6m 36s - 6.24 MB
- 5. One-Way ANOVA Table and Interpretation - Part C - 10m 30s - 9.94 MB
- 6. Difference between Practical and Statistical Significance - 7m 44s - 7.32 MB
Application Videos
- 7. Execution of the One-Way ANOVA Procedure - Part A - 5m 22s - 5.08 MB
- 8. Execution of the One-Way ANOVA Procedure - Part B - 3m 47s - 4.64 MB
- 9. Understanding Post-Hoc Comparisons and Applications - 5m 41s - 6.63 MB
- 10. Using One-Way ANOVA for Process Characterization - 7m 23s - 7.33 MB
- 11. Case Study for the Application of One-Way ANOVA - 5m 08s - 5.63 MB
Supporting Media
Two-Way ANOVA - Construct and interpret a two-way analysis-of-variance table
Instruction Videos
Application Videos
Supporting Media
N-Way ANOVA - Construct and interpret an N-way analysis-of-variance table
Instruction Videos
Application Videos
Supporting Media
ANOVA Graphs - Construct and interpret a main effects plot as well as an interaction plot
Instruction Videos
- 1. Nature and Interpretation of ANOVA Graphs - 7m 51s - 7.43 MB
- 2. Creation of an ANOVA Main-Effect Plot - Part A - 6m 06s - 5.78 MB
- 3. Creation of an ANOVA Main-Effect Plot - Part B - 5m 05s - 4.81 MB
- 4. Creation of an ANOVA Main-Effect Plot - Part C - 6m 02s - 5.71 MB
Application Videos
- 5. Graphical Interrogation of ANOVA Results - Part A - 5m 33s - 4.40 MB
- 6. Graphical Interrogation of ANOVA Results - Part B - 6m 47s - 5.68 MB
Supporting Media
Linear Regression - Conduct a linear regression and construct an appropriate model
Instruction Videos
- 1. Nature and Purpose of Linear Regression - 11m 25s - 10.84 MB
- 2. Understanding the Key Elements of Linear Regression - 9m 19s - 8.84 MB
- 3. Creation and Use of a Simple Regression Equation - 5m 13s - 4.94 MB
- 4. Links between Regression and Correlation Coefficients - 9m 27s - 8.96 MB
Expansion Videos
- 5. Dynamic Simulation of a Simple Linear Regression - 1m 53s - 1.10 MB
- 6. Common Applications of Simple Linear Regression - 3m 16s - 2.47 MB
- 7. Influence of Sample Size on Linear Regression - 7m 27s - 6.31 MB
Application Videos
- 8. Case Study for the Use of Linear Regression - Part A - 6m 23s - 6.35 MB
- 9. Case Study for the Use of Linear Regression - Part B - 4m 33s - 6.20 MB
- 10. Case Study for the Use of Linear Regression - Part C - 2m 25s - 2.85 MB
- 11. Case Study for the Use of Linear Regression - Part D - 6m 06s - 6.78 MB
- 12. Case Study for the Use of Linear Regression - Part E - 3m 54s - 4.60 MB
- 13. Case Study for the Use of Linear Regression - Part F - 6m 13s - 7.64 MB
Supporting Media
Multiple Regression - Conduct a multiple regression and construct an appropriate model
Instruction Videos
Application Videos
- 2. Case Study for the use of Multiple Regression - Part A - 4m 38s - 6.08 MB
- 3. Case Study for the use of Multiple Regression - Part B - 5m 19s - 7.38 MB
Supporting Media
Residual Analysis - Compute and analyze the residuals resulting from a simple regression
Instruction Videos
- 1. Understanding the Nature of Residuals Analysis - 7m 57s - 7.54 MB
- 2. Graphical Interpretation and Analysis of Residuals - 8m 16s - 7.84 MB
Expansion Videos
Supporting Media
Parametric Simulation - Apply general regression methods to the process simulator
Application Videos
- 1. Process Simulation for Parametric Statistics - Part A - 3m 10s - 3.34 MB
- 2. Process Simulation for Parametric Statistics - Part B - 5m 54s - 6.95 MB
- 3. Process Simulation for Parametric Statistics - Part C - 3m 20s - 3.64 MB
- 4. Process Simulation for Parametric Statistics - Part D - 3m 51s - 4.67 MB
- 5. Process Simulation for Parametric Statistics - Part E - 5m 23s - 6.39 MB
- 6. Process Simulation for Parametric Statistics - Part F - 10m 00s - 6.54 MB
Experimental MethodsDesign Principles - Understand the principles of experiment design and analysis
Instruction Videos
- 1. Nature and Purpose of Statistical Experiment Design - 4m 26s - 4.18 MB
- 2. Basic Idea of Quadratic Loss and Related Implications - 6m 35s - 6.24 MB
- 3. Linking Statistical Hypotheses to Designed Experiments - 7m 26s - 7.03 MB
- 4. Understanding How to Optimize Performance - Part A - 6m 13s - 5.89 MB
- 5. Understanding How to Optimize Performance - Part B - 3m 40s - 3.46 MB
- 6. Understanding How to Optimize Performance - Part C - 4m 14s - 3.99 MB
- 7. Practical Applications of Experiment Design Methods - 4m 27s - 4.20 MB
- 8. General Sequence for Planning and Executing a DOE - 6m 04s - 5.74 MB
Supporting Media
Design Models - Describe the various types of designed experiments and their applications
Instruction Videos
- 1. Primary Types of Experiment Design Models - Part A - 6m 55s - 6.55 MB
- 2. Primary Types of Experiment Design Models - Part B - 6m 23s - 6.03 MB
Supporting Media
Experimental Strategies - Outline a strategy for designing and analyzing a statistical experiment
Instruction Videos
- 1. Process for Executing a Designed Experiment - Part A - 6m 49s - 6.45 MB
- 2. Process for Executing a Designed Experiment - Part B - 10m 16s - 9.73 MB
- 3. Process for Executing a Designed Experiment - Part C - 4m 09s - 3.90 MB
Supporting Media
Experimental Effects - Define the various types of experimental effects and how they impact decisions
Instruction Videos
- 1. Visualization of Common Experimental Effects - Part A - 4m 24s - 4.16 MB
- 2. Visualization of Common Experimental Effects - Part B - 6m 46s - 6.39 MB
- 3. Concept and Implications of Confounding - Part A - 5m 25s - 5.15 MB
- 4. Concept and Implications of Confounding - Part B - 2m 09s - 2.05 MB
- 5. Concept and Implications of Experimental Blocking - 2m 45s - 2.63 MB
- 6. Relationship between Blocking and Randomization - 2m 57s - 2.82 MB
Supporting Media
One-Factor Two Level - Configure and analyze a one-factor two-level statistically based experiment
Instruction Videos
- 1. Nature and Purpose of a One-Factor Experiment - 7m 22s - 6.97 MB
- 2. Main Effects of a Single Factor Experiment - 4m 24s - 4.16 MB
- 3. Linkage of Statistical Tolerancing to DOE - Part A - 7m 14s - 6.85 MB
- 4. Linkage of Statistical Tolerancing to DOE - Part B - 2m 46s - 2.60 MB
- 5. Use of Regression for the Analysis of Experiments - 2m 39s - 2.53 MB
- 6. Treatment and Interpretation of Non-Linear Effects - 5m 35s - 5.30 MB
Application Videos
- 7. One-Way ANOVA Method Applied to DOE - Part A - 3m 30s - 3.56 MB
- 8. One-Way ANOVA Method Applied to DOE - Part B - 5m 05s - 4.87 MB
Supporting Media
One-Factor Multi Level - Configure and analyze a one-factor multi-level statistically based experiment
Instruction Videos
Application Videos
- 2. ANOVA Method for Multi-Level Designs - Part A - 5m 19s - 5.44 MB
- 3. ANOVA Method for Multi-Level Designs - Part B - 1m 25s - 1.63 MB
Supporting Media
Full Factorials - Understand the nature and underlying logic of full factorial experiments
Instruction Videos
- 1. Nature and Character of Full Factorial Experiments - 6m 49s - 6.46 MB
- 2. Full Factorial Design and Basic Experimental Effects - 6m 32s - 6.18 MB
- 3. Features and Benefits of Full Factorial Experiments - 6m 25s - 6.08 MB
Supporting Media
Two-Factor Two Levels - Configure and analyze a two-factor two-level statistically based experiment
Instruction Videos
- 1. Two-Factor Two-Level Experiment Design - Part A - 4m 44s - 4.47 MB
- 2. Two-Factor Two-Level Experiment Design - Part B - 3m 29s - 3.29 MB
- 3. Two-Factor Two-Level Experiment Design - Part C - 2m 54s - 2.75 MB
- 4. Calculation and Display of Key Experimental Effects - 5m 04s - 4.78 MB
- 5. Graphing and Interpretation of Main Effects - 4m 33s - 4.30 MB
- 6. Graphing and Interpretation of Interactions - Part A - 4m 58s - 4.71 MB
- 7. Graphing and Interpretation of Interactions - Part B - 4m 46s - 4.50 MB
- 8. Creation and Structure of a Two-Way ANOVA Table - 8m 22s - 7.94 MB
- 9. Discovering the Path-of-Steepest-Assent - Part A - 8m 13s - 7.78 MB
- 10. Discovering the Path-of-Steepest-Assent - Part B - 5m 43s - 5.41 MB
Expansion Videos
- 11. Use of DOE to Facilitate Team Decision Making - Part A - 3m 26s - 1.39 MB
- 12. Use of DOE to Facilitate Team Decision Making - Part B - 6m 00s - 4.68 MB
- 13. Use of DOE to Facilitate Team Decision Making - Part C - 3m 28s - 1.54 MB
- 14. Use of DOE to Facilitate Team Decision Making - Part D - 5m 04s - 2.88 MB
- 15. Use of DOE to Facilitate Team Decision Making - Part E - 4m 24s - 2.30 MB
- 16. Use of DOE to Facilitate Team Decision Making - Part F - 3m 22s - 2.30 MB
- 17. Use of DOE to Facilitate Team Decision Making - Part G - 6m 01s - 2.99 MB
- 18. Use of DOE to Facilitate Team Decision Making - Part H - 2m 39s - 1.29 MB
Application Videos
- 19. Contrast Method for Conducting an ANOVA - Part A - 9m 33s - 10.82 MB
- 20. Contrast Method for Conducting an ANOVA - Part B - 2m 55s - 3.62 MB
- 21. Generation of a Two-Factor Two-Level Design - Part A - 6m 17s - 6.92 MB
- 22. Generation of a Two-Factor Two-Level Design - Part B - 2m 32s - 2.88 MB
- 23. Analysis of a Replicated Two-Factor Experiment - 7m 48s - 8.90 MB
- 24. Analysis of an Unreplicated Two-Factor Experiment - 5m 31s - 5.42 MB
- 25. Catapult Case Study for a Two-Factor Experiment - 11m 40s - 8.88 MB
Supporting Media
Two-Factor Multi Level - Configure and analyze a two-factor multi-level statistically based experiment
Instruction Videos
Supporting Media
Three-Factor Two Level - Configure and analyze a three-factor two-level statistically based experiment
Instruction Videos
Application Videos
- 2. Design and Analysis of a Three-Factor DOE - Part A - 7m 03s - 7.38 MB
- 3. Design and Analysis of a Three-Factor DOE - Part B - 5m 49s - 5.95 MB
- 4. Design and Analysis of a Three-Factor DOE - Part C - 4m 09s - 5.64 MB
- 5. Creation and Application of an Outer Array - Part A - 3m 40s - 3.68 MB
- 6. Creation and Application of an Outer Array - Part B - 8m 23s - 10.11 MB
- 7. Use of Regression for Analyzing Experiments - Part A - 2m 29s - 2.91 MB
- 8. Use of Regression for Analyzing Experiments - Part B - 4m 33s - 5.88 MB
- 9. Expanding the Factorial Design Matrix - Part A - 1m 47s - 2.14 MB
- 10. Expanding the Factorial Design Matrix - Part B - 7m 56s - 8.38 MB
Supporting Media
Planning Experiments - Understand the planning and implementation considerations related to statistical experiments
Instruction Videos
- 1. Calculation and Implications of Sample Size in a DOE - 9m 47s - 6.46 MB
- 2. Process for Planning Statistical Experiments - Part A - 4m 32s - 4.28 MB
- 3. Process for Planning Statistical Experiments - Part B - 5m 32s - 5.23 MB
- 4. Process for Planning Statistical Experiments - Part C - 4m 32s - 4.29 MB
- 5. Process for Planning Statistical Experiments - Part D - 4m 54s - 4.64 MB
Supporting Media
Fractional Factorials - Understand the nature and underlying logic of fractional factorial experiments
Instruction Videos
- 1. Concept and Aims of Fractional Factorial Experiments - 5m 30s - 5.20 MB
- 2. Logic of the Fractional Factorial Design Matrix - 7m 19s - 6.94 MB
- 3. Three-Factor Fractional Factorial Experiments - Part A - 9m 07s - 8.65 MB
- 4. Three-Factor Fractional Factorial Experiments - Part B - 6m 20s - 6.02 MB
- 5. Concept and Implications of Design Resolution - Part A - 5m 01s - 4.74 MB
- 6. Concept and Implications of Design Resolution - Part B - 4m 10s - 3.94 MB
- 7. Concept and Implications of Design Resolution - Part C - 4m 01s - 3.80 MB
- 8. Concept and Implications of Design Resolution - Part D - 2m 57s - 2.78 MB
- 9. Concept and Implications of Design Resolution - Part E - 4m 40s - 4.40 MB
Application Videos
- 10. Generation of a Fractional Factorial Matrix - Part A - 8m 39s - 10.97 MB
- 11. Generation of a Fractional Factorial Matrix - Part B - 3m 12s - 3.40 MB
- 12. Generation of a Fractional Factorial Matrix - Part C - 2m 34s - 3.18 MB
- 13. Generation of a Fractional Factorial Matrix - Part D - 6m 05s - 7.49 MB
- 14. Execution of a Fractional Factorial Experiment - 7m 11s - 8.68 MB
Supporting Media
Four-Factor Half-Fraction - Configure and analyze a four-factor half-fraction statistically based experiment
Instruction Videos
- 1. Four-Factor Half-Fraction Design Matrix - Part A - 3m 35s - 3.39 MB
- 2. Four-Factor Half-Fraction Design Matrix - Part B - 5m 46s - 5.45 MB
Application Videos
Supporting Media
Five-Factor Half-Fraction - Configure and analyze a five-factor half-fraction statistically based experiment
Instruction Videos
Application Videos
- 2. Execution of Five-Factor Half-Fraction Design - Part A - 5m 05s - 5.42 MB
- 3. Execution of Five-Factor Half-Fraction Design - Part B - 3m 28s - 4.09 MB
- 4. Execution of Five-Factor Half-Fraction Design - Part C - 1m 52s - 2.06 MB
- 5. Catapult Case Study for the Five-Factor Design - Part A - 5m 05s - 7.07 MB
- 6. Catapult Case Study for the Five-Factor Design - Part B - 4m 29s - 2.28 MB
- 7. Catapult Case Study for the Five-Factor Design - Part C - 6m 27s - 4.46 MB
Supporting Media
Screening Designs - Understand how to select, implement, and analyze a screening experiment
Instruction Videos
Application Videos
- 2. Example Execution and Analysis of a Screening Design - Part A - 3m 24s - 3.62 MB
- 3. Example Execution and Analysis of a Screening Design - Part B - 4m 10s - 3.57 MB
Supporting Media
Robust Designs - Explain the purpose of robust design and define several practical usages
Instruction Videos
- 1. Nature and Purpose of Robust Design Methods - Part A - 5m 25s - 5.51 MB
- 2. Nature and Purpose of Robust Design Methods - Part B - 5m 36s - 5.69 MB
- 3. Nature and Purpose of Robust Design Methods - Part C - 2m 06s - 2.16 MB
- 4. Nature and Purpose of Robust Design Methods - Part D - 2m 47s - 2.85 MB
Application Videos
- 5. Execution and Analysis of a Robust Design - Part A - 4m 14s - 3.59 MB
- 6. Execution and Analysis of a Robust Design - Part B - 5m 29s - 4.51 MB
- 7. Execution and Analysis of a Robust Design - Part C - 6m 27s - 5.99 MB
- 8. Execution and Analysis of a Robust Design - Part D - 5m 19s - 3.22 MB
- 9. Execution and Analysis of a Robust Design - Part E - 6m 07s - 4.16 MB
- 10. Execution and Analysis of a Robust Design - Part F - 4m 44s - 5.14 MB
- 11. Execution and Analysis of a Robust Design - Part G - 8m 21s - 5.80 MB
- 12. Execution and Analysis of a Robust Design - Part H - 4m 22s - 4.36 MB
- 13. Execution and Analysis of a Robust Design - Part I - 7m 08s - 6.19 MB
- 14. Execution and Analysis of a Robust Design - Part J - 4m 30s - 3.66 MB
Supporting Media
Experiment Simulation - Describe how a DOE can be employed when measurement data is not available
Application Videos
Measurement AnalysisMeasurement Uncertainty - Understand the concept of measurement uncertainty
Instruction Videos
- 1. Nature and Meaning of Measurement Uncertainty - 5m 23s - 5.10 MB
- 2. Purpose of a Measurement Systems Analysis (MSA) - 7m 06s - 6.73 MB
- 3. Primary Elements of Measurement System - 3m 14s - 3.05 MB
Supporting Media
Measurement Components - Describe the components of measurement error and their consequential impact
Instruction Videos
- 1. Categories of Measurement System Error - 4m 55s - 6.03 MB
- 2. Repeatability and Reproducibility of Measurements - 6m 22s - 4.18 MB
- 3. Additive Nature of Measurement System Errors - 4m 25s - 4.62 MB
Supporting Media
Measurement Studies - Explain how a measurement systems analysis is designed and conducted
Instruction Videos
- 1. Example Analysis of a Measurement System - Part A - 2m 41s - 2.56 MB
- 2. Example Analysis of a Measurement System - Part B - 7m 14s - 6.85 MB
- 3. Example Analysis of a Measurement System - Part C - 5m 36s - 5.31 MB
- 4. Example Analysis of a Measurement System - Part D - 6m 23s - 6.05 MB
- 5. Example Analysis of a Measurement System - Part E - 9m 53s - 9.37 MB
Application Videos
- 6. Case Study for Conducting an MSA Study - Part A - 8m 19s - 8.43 MB
- 7. Case Study for Conducting an MSA Study - Part B - 4m 13s - 5.27 MB
Supporting Media
Excel Orientation - Explore the Excel software package
Instruction Videos
Application Videos
- 2. Basic Nature and Use of Microsoft Excel - Part A - 3m 57s - 3.71 MB
- 3. Basic Nature and Use of Microsoft Excel - Part B - 4m 35s - 4.09 MB
- 4. Basic Nature and Use of Microsoft Excel - Part C - 2m 51s - 2.89 MB
- 5. Basic Nature and Use of Microsoft Excel - Part D - 3m 18s - 5.59 MB
- 6. Basic Nature and Use of Microsoft Excel - Part E - 4m 00s - 3.00 MB
- 7. Basic Nature and Use of Microsoft Excel - Part F - 3m 58s - 3.89 MB
- 8. Basic Nature and Use of Microsoft Excel - Part G - 5m 05s - 6.09 MB
Minitab Orientation - Explore the Minitab software package
Instruction Videos
Application Videos
- 2. Basic Nature and Application of Minitab - Part A - 3m 23s - 3.45 MB
- 3. Basic Nature and Application of Minitab - Part B - 3m 40s - 3.50 MB
- 4. Basic Nature and Application of Minitab - Part C - 3m 33s - 3.03 MB
- 5. Basic Nature and Application of Minitab - Part D - 4m 03s - 4.14 MB
- 6. Basic Nature and Application of Minitab - Part E - 5m 11s - 4.97 MB
- 7. Basic Nature and Application of Minitab - Part F - 4m 59s - 3.93 MB
- 8. Basic Nature and Application of Minitab - Part G - 3m 48s - 3.34 MB
- 9. Basic Nature and Application of Minitab - Part H - 2m 01s - 0.97 MB
Simulator Orientation - Explore the Process Simulator
Instruction Videos
Application Videos
- 2. Basic Operation of SSMI Process Simulator - Part A - 7m 24s - 7.12 MB
- 3. Basic Operation of SSMI Process Simulator - Part B - 4m 32s - 6.16 MB
- 4. Basic Operation of SSMI Process Simulator - Part C - 3m 22s - 3.44 MB
- 5. Basic Operation of SSMI DOE Simulator - Part A - 5m 51s - 7.53 MB
- 6. Basic Operation of SSMI DOE Simulator - Part B - 3m 19s - 4.39 MB
- 7. Basic Operation of SSMI DOE Simulator - Part C - 2m 59s - 3.88 MB
Deterministic Reasoning - Describe a basic cause-and-effect relationship in terms of Y=f(X)
Instruction Videos
- 1. Uncovering Fundamental Cause and Effect Relationships - 2m 38s - 2.51 MB
- 2. Consequential Symptoms and the Nature of Problems - 4m 57s - 4.69 MB
Expansion Videos
- 3. Deterministic Reasoning and Global Business Vision - 1m 01s - 0.71 MB
- 4. Elements of Determinism and the Vital Links to Six Sigma - 4m 05s - 2.19 MB
- 5. Application and Implications of Determinism - Part A - 3m 45s - 2.82 MB
- 6. Application and Implications of Determinism - Part B - 3m 48s - 2.77 MB
- 7. Application and Implications of Determinism - Part C - 6m 34s - 4.48 MB
- 8. Advanced Understanding of Scientific Determinism - 8m 46s - 13.80 MB
- 9. Scientific Determinism and Basic Pragmatism - 10m 27s - 14.99 MB
Application Videos
Supporting Media
Leverage Principle - Relate the principle of leverage to an improvement project
Instruction Videos
- 1. Pragmatic Understandings of Operational Leverage - 4m 27s - 4.20 MB
- 2. Analytical Understandings of Leverage - Part A - 7m 02s - 6.66 MB
- 3. Analytical Understandings of Leverage - Part B - 5m 33s - 5.24 MB
Expansion Videos
- 4. Visualization of Process Leverage and Improvement - 0m 53s - 0.67 MB
- 5. Development of Breakthrough Power - Part A - 4m 01s - 2.09 MB
- 6. Development of Breakthrough Power - Part B - 3m 59s - 1.67 MB
Application Videos
- 7. Competing Strategies for Realizing Leverage - Part A - 3m 27s - 2.44 MB
- 8. Competing Strategies for Realizing Leverage - Part B - 3m 32s - 4.74 MB
- 9. Competing Strategies for Realizing Leverage - Part C - 5m 35s - 5.08 MB
Supporting Media
Process ManagementPerformance Yield - Explain why final yield is often higher than first-time yield
Instruction Videos
- 1. Fundamental Nature and Components of Process Yield - 3m 21s - 3.19 MB
- 2. Changes in Product and Process Yield over Time - 4m 13s - 3.98 MB
- 3. Different Perspectives of Product and Process Yield - 5m 44s - 5.44 MB
- 4. Product Yield and the Poisson Distribution - 6m 50s - 6.46 MB
Expansion Videos
- 5. Connections between Yield and Process Capacity - 0m 42s - 4.35 MB
- 6. Fundamental Concept of Throughput Yield - 2m 45s - 1.15 MB
- 7. Expanded Understanding of Throughput Yield - 3m 09s - 2.02 MB
Application Videos
- 8. Calculations Associated with Throughput Yield - 5m 14s - 3.74 MB
- 9. Four Primary Types of Product and Process Yield - 4m 50s - 3.74 MB
- 10. Product Yield and the Sigma Scale of Measure - 2m 24s - 3.22 MB
- 11. Simulation of Process Yield Using the Poisson Model - 4m 03s - 2.87 MB
- 12. Validation of the Poisson Distribution as a Defect Model - 7m 09s - 9.38 MB
- 13. Linkages between Poisson and the Normal Distribution - 2m 15s - 2.61 MB
- 14. Simulation of Product and Process Yield - Part A - 3m 23s - 3.74 MB
- 15. Simulation of Product and Process Yield - Part B - 4m 58s - 6.69 MB
- 16. Simulation of Product and Process Yield - Part C - 5m 50s - 7.68 MB
- 17. Simulation of Product and Process Yield - Part D - 7m 16s - 9.32 MB
Supporting Media
Hidden Processes - Describe the non-value added component of a process
Instruction Videos
- 1. Connecting Yield Calculations to Hidden Processes - Part A - 5m 09s - 4.86 MB
- 2. Connecting Yield Calculations to Hidden Processes - Part B - 3m 47s - 3.62 MB
- 3. Using Throughput Yield to Manage Critical Processes - 2m 02s - 1.93 MB
- 4. Linkages between Throughput Yield and Cycle Time - 9m 28s - 8.97 MB
Expansion Videos
- 5. Non-Value Added Activities Related to Hidden Processes - 2m 48s - 1.93 MB
- 6. Reasons that Hidden Processes Continue to Thrive - 5m 12s - 2.33 MB
- 7. Association between Capability and Hidden Processes - 6m 31s - 6.79 MB
- 8. Elimination of Hidden Processes and Unnecessary Costs - 6m 00s - 8.97 MB
Supporting Media
Measurement Power - Describe the role of measurement in an improvement initiative
Instruction Videos
- 1. Six Sigma and the Role of Measurement - 3m 41s - 3.47 MB
- 2. Links between DMAIC and the Need for Measurement - 3m 18s - 3.14 MB
- 3. Connecting Defects to the Idea of Uncertainty - 6m 15s - 5.92 MB
- 4. Process Improvement and the Role of Measurement - 6m 55s - 6.55 MB
- 5. Critical Connections Between Measurements and Statistics - 6m 58s - 6.59 MB
Expansion Videos
Application Videos
Supporting Media
Establishing Baselines - Explain why performance baselines are essential to realizing improvement
Instruction Videos
- 1. Nature and Use of Performance Baselines - 4m 10s - 3.94 MB
- 2. Development of Process Capability Baselines - 6m 08s - 5.80 MB
- 3. Performance Baselines and the Standard Deviation - 4m 45s - 4.50 MB
- 4. Sigma Reporting and Performance Benchmarking - 4m 42s - 4.45 MB
Expansion Videos
- 5. Extending the Need for Performance Baselining - 0m 58s - 0.37 MB
- 6. Steps for Calculating a Performance Baseline - Part A - 3m 06s - 3.93 MB
- 7. Steps for Calculating a Performance Baseline - Part B - 3m 01s - 2.07 MB
- 8. Steps for Calculating a Performance Baseline - Part C - 3m 44s - 2.08 MB
Application Videos
- 9. Calculation of a Six Sigma Performance Baseline - Part A - 6m 36s - 5.23 MB
- 10. Calculation of a Six Sigma Performance Baseline - Part B - 2m 28s - 1.86 MB
- 11. Conversion of Probabilities to the Sigma Scale - 4m 17s - 3.09 MB
- 12. Estimating a Sigma Value for the Case of Zero Defects - 1m 57s - 1.52 MB
Supporting Media
Defect Opportunity - Understand the nature of a defect opportunity and its role in metrics reporting
Instruction Videos
- 1. Nature and Character of a Defect Opportunity - 6m 43s - 6.37 MB
- 2. Accounting and Reporting of Defect Opportunities - 5m 18s - 5.01 MB
Expansion Videos
- 3. Gaining a Deeper Understanding of Defect Opportunities - 1m 31s - 0.60 MB
- 4. Methods of Counting Defect Opportunities - Part A - 7m 58s - 11.15 MB
- 5. Methods of Counting Defect Opportunities - Part B - 7m 16s - 10.68 MB
- 6. Methods of Counting Defect Opportunities - Part C - 5m 41s - 6.78 MB
- 7. Basic Criteria for Defining a Defect Opportunity - 2m 50s - 2.76 MB
- 8. Linkage between Defect Opportunities and Probability - 4m 56s - 1.66 MB
- 9. Practical Application of Defect Opportunities - Part A - 5m 41s - 3.37 MB
- 10. Practical Application of Defect Opportunities - Part B - 2m 32s - 3.07 MB
Application Videos
- 11. Practical Methods for Estimating Defect Opportunities - 3m 57s - 3.38 MB
- 12. Creating a Defect Opportunity Matrix - Part A - 3m 22s - 3.14 MB
- 13. Creating a Defect Opportunity Matrix - Part B - 3m 33s - 3.44 MB
Supporting Media
Process Models - Define the key features of a Six Sigma performance model
Instruction Videos
- 1. Applying a Systems Model to the Practice of Six Sigma - 6m 28s - 6.11 MB
- 2. Constructing and Using Basic Histograms - 3m 24s - 3.21 MB
- 3. Constructing a Statistical Performance Model - 6m 24s - 6.06 MB
- 4. Practical Influence of Process Shift and Drift - 4m 49s - 8.48 MB
Expansion Videos
- 5. Understanding the Nature of a Standard Deviation - 6m 36s - 7.29 MB
- 6. Consequential Impact of Process Centering Errors - 5m 39s - 2.83 MB
- 7. Time Related Influences and Process Capability Metrics - 7m 23s - 7.23 MB
- 8. Short-Term Definition of Six Sigma Performance - 5m 02s - 2.08 MB
- 9. Long-Term Definition of Six Sigma Performance - 2m 33s - 1.25 MB
Application Videos
- 10. Construction of a Performance Histogram - Part A - 4m 32s - 4.33 MB
- 11. Construction of a Performance Histogram - Part B - 4m 18s - 4.11 MB
- 12. Construction and Use of a Standard Normal Curve - 4m 02s - 3.81 MB
- 13. Using the DPMO Metric and Sigma Scale of Measure - 10m 01s - 8.90 MB
Supporting Media
Process Capability - Identify the primary indices of process capability
Instruction Videos
- 1. Understanding the Use of Process Capability Ratios - 9m 01s - 8.54 MB
- 2. Process Capability and the Sigma Scale of Measure - 10m 22s - 9.83 MB
- 3. Using Histograms to Study Process Capability - Part A - 4m 23s - 4.15 MB
- 4. Using Histograms to Study Process Capability - Part B - 4m 29s - 4.22 MB
- 5. Process Capability and the Normal Distribution - 3m 24s - 3.20 MB
- 6. Influence of Process Shifts and Drifts on Capability - 4m 26s - 4.18 MB
Expansion Videos
- 7. Understanding the Components of Process Capability - 0m 48s - 0.32 MB
- 8. Connecting Basic Probability to Indices of Capability - 8m 46s - 7.70 MB
Application Videos
- 9. Calculation of Probabilities Based on Defect Rates - 8m 15s - 8.62 MB
- 10. Analyzing and Reporting Process Capability - 4m 48s - 4.85 MB
- 11. Understanding the General Idea of Signal and Noise - 4m 18s - 2.42 MB
- 12. DPMO Calculations for Various Centering Conditions - 5m 30s - 7.69 MB
- 13. Visualizing the Connection of Probability and Capability - 2m 04s - 1.98 MB
- 14. Understanding the Nature of Escaping Defects - 6m 50s - 5.26 MB
- 15. Process Capability Reporting and the Case of Zero Defects - 4m 29s - 3.35 MB
Supporting Media
Design Complexity - Describe the impact of complexity on product and service quality
Instruction Videos
- 1. Basic Concepts of Product and Process Complexity - 1m 51s - 1.77 MB
- 2. Unmasking Product and Process Complexity - 3m 57s - 3.75 MB
- 3. Recognizing the Influence of Complexity on Yield - 5m 05s - 4.81 MB
- 4. Recognizing the Influence of Complexity on Capability - 12m 50s - 12.16 MB
Expansion Videos
Application Videos
- 6. Analysis of Complexity on Capability and DPU - 6m 43s - 5.20 MB
- 7. Interaction of Capability and Complexity - Part A - 6m 45s - 4.79 MB
- 8. Interaction of Capability and Complexity - Part B - 2m 30s - 1.89 MB
- 9. Interaction of Capability and Complexity - Part C - 3m 31s - 3.15 MB
- 10. Interaction of Capability and Complexity - Part D - 6m 16s - 6.97 MB
- 11. Interaction of Capability and Complexity - Part E - 4m 40s - 4.00 MB
- 12. Interaction of Capability and Complexity - Part F - 3m 10s - 3.30 MB
- 13. Interaction of Capability and Complexity - Part G - 7m 59s - 8.83 MB
- 14. Interaction of Capability and Complexity - Part H - 10m 12s - 10.05 MB
Supporting Media
Quality ToolsVariable Classifications - Define the various types of variables commonly encountered during quality improvement
Instruction Videos
- 1. Defining the Main Categories of Performance Variables - 1m 42s - 1.63 MB
- 2. Performance Variables and the Pareto Effect - 1m 57s - 1.86 MB
- 3. Linkage between Variables and Process Capability - 4m 53s - 4.62 MB
Supporting Media
Measurement Scales - Describe each of the four primary scales of measure and their relative power
Instruction Videos
- 1. Nature of Continuous and Discrete Variables - Part A - 4m 04s - 3.85 MB
- 2. Nature of Continuous and Discrete Variables - Part B - 4m 03s - 4.23 MB
- 3. Four Primary Scales of Measure and Definitions - Part A - 3m 55s - 3.46 MB
- 4. Four Primary Scales of Measure and Definitions - Part B - 3m 53s - 3.66 MB
Expansion Videos
Application Videos
- 6. Transformation of Measurement Scales - Part A - 5m 08s - 4.76 MB
- 7. Transformation of Measurement Scales - Part B - 4m 43s - 4.92 MB
- 8. Sensitivity of Continuous and Discrete Scales - 5m 36s - 7.16 MB
- 9. Transformation of Discrete Measurement Scales - 2m 48s - 3.16 MB
- 10. Impact of Measurement Scales on Process Capability - 3m 12s - 2.09 MB
- 11. Identification and Selection of Defect Categories - 2m 13s - 1.27 MB
- 12. Comparative Analysis of Continuous and Discrete Data - 6m 28s - 5.95 MB
Supporting Media
Problem Definition - Characterize the nature of a sound problem statement
Instruction Videos
- 1. Nature and Definition of a Practical Problem - 1m 32s - 1.48 MB
- 2. Documentation of a Process Capability Problem - 4m 12s - 3.96 MB
- 3. Understanding Process Accuracy and Precision - Part A - 2m 27s - 2.35 MB
- 4. Understanding Process Accuracy and Precision - Part B - 2m 46s - 2.65 MB
- 5. Implications of a Process Capability Problem - 2m 57s - 2.81 MB
- 6. Bridging Practical Problems and Statistical Problems - 3m 51s - 3.64 MB
- 7. Common Mistakes in Basic Problem Solving - 3m 36s - 3.44 MB
Expansion Videos
- 8. Developing the Definition of a Problem - Part A - 3m 23s - 3.76 MB
- 9. Developing the Definition of a Problem - Part B - 5m 30s - 3.37 MB
- 10. Essential Criteria for Effective Problem Solving - 5m 11s - 2.31 MB
Supporting Media
Focused Brainstorming - Explain how focused brainstorming is used to facilitate improvement efforts
Instruction Videos
Expansion Videos
- 2. Key Phases of Effective Brainstorming - Part A - 3m 01s - 1.39 MB
- 3. Key Phases of Effective Brainstorming - Part B - 3m 57s - 2.84 MB
Supporting Media
Matrix Analysis - Understand how matrices are created and used to facilitate problem solving
Instruction Videos
- 1. Nature and Purpose of Matrix Analysis - 4m 47s - 4.52 MB
- 2. Use of RxC Matrices for Decision Making - 2m 11s - 2.08 MB
Application Videos
- 3. Simulation of a General Matrix Analysis - Part A - 3m 31s - 3.79 MB
- 4. Simulation of a General Matrix Analysis - Part B - 6m 27s - 6.92 MB
Supporting Media
C&E Analysis - Explain how C&E matrices can be used to solve quality problems
Instruction Videos
- 1. Understanding the Nature and Purpose of C&E Analysis - 2m 57s - 2.82 MB
- 2. Pragmatic Application of a C&E Matrix - 3m 05s - 2.94 MB
Supporting Media
Performance Sampling - Explain how to design and implement a sampling plan
Instruction Videos
- 1. Nature and Purpose of a Performance Sampling - 1m 48s - 1.72 MB
- 2. Underlying Principles of Random Sampling - 2m 23s - 2.28 MB
- 3. Underlying Principles of Stratified Sampling - 3m 39s - 3.45 MB
- 4. Basic Nature and Use of Sequential Sampling - 2m 17s - 2.19 MB
Expansion Videos
Application Videos
Supporting Media
Check Sheets - Understand how check sheets can be used for purposes of data collection
Instruction Videos
- 1. Nature and Purpose of Check Sheets - 3m 05s - 2.94 MB
- 2. Use of Check Sheets to Facilitate Data Collection - 3m 35s - 3.38 MB
Expansion Videos
Application Videos
Supporting Media
Analytical Charts - Identify the general range of analytical charts that can be used to assess performance
Instruction Videos
Application Videos
- 2. Fundamental Purpose and Use of Bar Charts - 4m 45s - 5.70 MB
- 3. Fundamental Purpose and Use of Pie Charts - 3m 18s - 2.86 MB
- 4. Illustration of Common Graphing Techniques - 5m 17s - 6.45 MB
Supporting Media
Pareto Charts - Explain how Pareto charts can be used to isolate improvement leverage
Instruction Videos
Application Videos
- 2. Creation and Use of a Pareto Chart - Part A - 6m 00s - 7.71 MB
- 3. Creation and Use of a Pareto Chart - Part B - 6m 36s - 5.57 MB
- 4. Advanced Application of Pareto Analysis - 5m 16s - 5.43 MB
Supporting Media
Run Charts - Utilize run charts to assess and characterize time-based process data
Instruction Videos
Application Videos
- 2. Creation and Use of a Run Chart - 4m 34s - 4.61 MB
- 3. Creation and Use of a Time Series Plot - 3m 34s - 3.03 MB
Supporting Media
Correlation Charts - Utilize a correlation chart to illustrate the association between two variables
Instruction Videos
- 1. Nature and Purpose of Correlation Charts - 4m 49s - 4.55 MB
- 2. Use of Scatter Plots for Predicting Performance - 3m 57s - 3.72 MB
- 3. Understanding Nonlinear Variable Relationships - 2m 59s - 2.84 MB
Application Videos
- 4. Construction and Use of a Scatter Plot - Part A - 5m 35s - 4.59 MB
- 5. Construction and Use of a Scatter Plot - Part B - 5m 35s - 4.14 MB
- 6. Using Conditional Distributions in Forecasting Work - 5m 56s - 5.64 MB
- 7. Creation and Interpretation of a Fitted Line Plot - 3m 26s - 4.24 MB
- 8. Illustrated Nature and Meaning of Inverse Correlation - 1m 39s - 1.65 MB
- 9. Use and Interpretation of Marginal Distribution Plots - 4m 07s - 3.05 MB
- 10. Use and Interpretation of 3D Scatter Plots - 5m 12s - 4.96 MB
- 11. Use and Interpretation of Stratified Scatter Plots - 4m 48s - 3.94 MB
- 12. Use and Interpretation of a Matrix Plot - 5m 05s - 4.17 MB
- 13. Basic Concept of a Fitted-Line Regression Plot - 3m 08s - 1.34 MB
- 14. Advanced Application and Use of Scatter Plots - 5m 08s - 5.15 MB
Supporting Media
Frequency Tables - Explain how to construct and interpret a frequency table
Instruction Videos
Application Videos
- 2. Creation and Interpretation of a Frequency Table - 5m 34s - 7.04 MB
- 3. Extended Application of Frequency Tables - Part A - 3m 34s - 4.04 MB
- 4. Extended Application of Frequency Tables - Part B - 1m 47s - 2.11 MB
Supporting Media
Performance Histograms - Construct and interpret a histogram and describe several purposes
Instruction Videos
- 1. Nature and Purpose of a Histogram - 5m 23s - 5.10 MB
- 2. Inclusion of Specification Limits on Histograms - 4m 36s - 4.35 MB
- 3. Use of Histograms in Process Capability Work - 2m 34s - 2.45 MB
- 4. Use of Histograms with Scatter Plots - 2m 52s - 2.73 MB
- 5. Use of Histograms with Experimental Design - 2m 28s - 2.36 MB
- 6. Use of Histograms for Characterizing Distributions - 5m 08s - 4.87 MB
Expansion Videos
Application Videos
- 8. Construction and Interpretation of a Histogram - 6m 09s - 6.91 MB
- 9. Simulation and Interpretation of a Histogram - 6m 27s - 5.49 MB
- 10. Construction and Use of a Probability Plot - 6m 22s - 5.98 MB
- 11. Use of Histograms with Autocorrelation - 6m 48s - 8.66 MB
- 12. Use of Histograms with Common Probability Plots - 9m 26s - 9.26 MB
- 13. Use of Histograms to Support Basic Statistics - 3m 27s - 3.26 MB
- 14. Use of Histograms to Support Six Sigma Work - 4m 41s - 4.48 MB
- 15. Use of Histograms to Support Data Transformations - 5m 13s - 6.16 MB
Supporting Media
Basic Probability - Understand basic probability theory and how it relates to process improvement
Instruction Videos
- 1. Basic Understanding and Principles of Probability - 6m 30s - 6.14 MB
- 2. Linking Performance Yield to Basic Probability - 5m 33s - 5.25 MB
- 3. Connecting Probability Theory to a Pair of Dice - 5m 44s - 5.41 MB
- 4. Associating Basic Probability and Histograms - 6m 14s - 5.90 MB
Expansion Videos
Supporting Media
Search Patterns - Explain how the use of designed experiments can facilitate problem solving
Instruction Videos
- 1. Nature and Purpose of Search Patterns - 8m 06s - 7.68 MB
- 2. Manipulating Variables to Discover Patterns - 6m 23s - 6.03 MB
- 3. Explaining the Logic of Performance Optimization - 6m 55s - 6.55 MB
Application Videos
- 4. Simulation of an Optimization Search Pattern - 5m 51s - 4.33 MB
- 5. Illustration of an Experimental Search Pattern - 4m 58s - 5.20 MB
Supporting Media
Concept Integration - Understand how to sequence a given selection of quality tools to better solve problems
Instruction Videos
- 1. Integrated Application of Basic Quality Tools - Part A - 7m 19s - 6.93 MB
- 2. Integrated Application of Basic Quality Tools - Part B - 5m 20s - 5.04 MB
- 3. Integrated Application of Basic Quality Tools - Part C - 4m 17s - 4.04 MB
- 4. Integrated Application of Basic Quality Tools - Part D - 4m 22s - 4.14 MB
Expansion Videos
Application Videos
- 6. Practical Application of Quality Tools - Part A - 7m 44s - 7.02 MB
- 7. Practical Application of Quality Tools - Part B - 6m 52s - 6.97 MB
- 8. Practical Application of Quality Tools - Part C - 5m 14s - 5.43 MB
- 9. Practical Application of Quality Tools - Part D - 3m 06s - 2.67 MB
- 10. Practical Application of Quality Tools - Part E - 4m 19s - 3.17 MB
- 11. Practical Application of Quality Tools - Part F - 5m 17s - 4.95 MB
- 12. Practical Application of Quality Tools - Part G - 3m 41s - 4.16 MB
Supporting Media
Quality Simulation - Employ the related quality tools to analyze data generated by the process simulator
Application Videos
- 1. Simulated Example and Use of Quality Tools - Part A - 3m 08s - 4.29 MB
- 2. Simulated Example and Use of Quality Tools - Part B - 2m 08s - 2.27 MB
- 3. Simulated Example and Use of Quality Tools - Part C - 3m 05s - 3.10 MB
- 4. Simulated Example and Use of Quality Tools - Part D - 6m 23s - 6.30 MB
- 5. Simulated Example and Use of Quality Tools - Part E - 3m 28s - 3.44 MB
Basic StatisticsPerformance Variables - Identify and describe the types of variables typically encountered in field work
Instruction Videos
- 1. Key Types of Six Sigma Performance Variables - 6m 50s - 6.47 MB
- 2. Relationship between Performance Variables and Data - 3m 36s - 3.40 MB
Supporting Media
Statistical Notation - Recognize and interpret the conventional forms of statistical notation
Instruction Videos
- 1. Nature and Purpose of Statistical Notation - 3m 45s - 3.56 MB
- 2. Summation and the Related Statistical Notation - 3m 44s - 3.51 MB
- 3. Multiplication and the Related Statistical Notation - 3m 48s - 3.57 MB
- 4. Use and Application of Double Summation - 7m 35s - 7.17 MB
- 5. Meaning and Use of Sub-Script Notation - 4m 15s - 4.02 MB
- 6. Common Types of Notation Used in Statistical Work - 7m 58s - 7.55 MB
Application Videos
- 7. Spreadsheet Method for Simple Addition - Part A - 3m 25s - 4.40 MB
- 8. Spreadsheet Method for Simple Addition - Part B - 4m 55s - 5.50 MB
- 9. Spreadsheet Method for Simple Multiplication - 3m 10s - 3.94 MB
- 10. Spreadsheet Method for Double Summation - 2m 18s - 2.73 MB
Supporting Media
Performance Variation - Explain the basic nature of variation and how it can adversely impact quality
Instruction Videos
- 1. Understanding the Nature and Character of Variation - 7m 13s - 6.85 MB
- 2. Describing a Deviation in Performance Expectation - 3m 20s - 3.15 MB
- 3. Grasping the Implications of Common Variation - Part A - 5m 03s - 2.62 MB
- 4. Grasping the Implications of Common Variation - Part B - 6m 48s - 6.44 MB
Supporting Media
Normal Distribution - Describe the features and properties that are characteristic of a normal distribution
Instruction Videos
- 1. Characterization and Use of a Normal Distribution - 6m 47s - 6.42 MB
- 2. Understanding the Nature and Purpose of Exact Limits - 4m 10s - 3.93 MB
- 3. Nature and Use of Scaled Intervals - Part A - 4m 42s - 4.43 MB
- 4. Nature and Use of Scaled Intervals - Part B - 3m 22s - 3.16 MB
- 5. Connecting Sample Size and Interval Width - 3m 50s - 3.62 MB
- 6. Exploring the Equation for a Normal Distribution - 8m 49s - 8.38 MB
- 7. Links between a Frequency Table and Bell Curve - 5m 26s - 5.14 MB
Expansion Videos
Application Videos
- 9. Statistical Fit of Empirical Data to a Bell Curve - 5m 38s - 7.52 MB
- 10. Simulation and Interpretation of a Z Distribution - 4m 12s - 3.32 MB
Supporting Media
Distribution Analysis - Explain how to test the assumption that a set of data is normally distributed
Instruction Videos
- 1. Nature and Purpose of Distribution Analysis - 3m 08s - 3.01 MB
- 2. Probability Plot Associated with a Normal Distribution - 7m 39s - 7.24 MB
Application Videos
- 3. Construction and Interpretation of a Probability Plot - 3m 40s - 3.59 MB
- 4. Fit of Performance Data to Selected Distributions - 3m 46s - 3.62 MB
- 5. Addition and Analysis of Two Normal Distributions - 4m 52s - 5.48 MB
- 6. Multiplication and Analysis of Two Normal Distributions - 3m 57s - 4.85 MB
- 7. Using Chi-Square for Distribution Analysis - Part A - 7m 37s - 9.39 MB
- 8. Using Chi-Square for Distribution Analysis - Part B - 6m 54s - 9.64 MB
- 9. Reconciliation of Applied Statistics and Basic Graphs - 3m 32s - 2.16 MB
- 10. Use of Transformations to Improve Distribution Fit - 4m 26s - 3.87 MB
- 11. Purpose and Use of a Standard Box plot - 4m 47s - 5.26 MB
- 12. Interpretation and Analysis of a Standard Box plot - 5m 35s - 4.18 MB
- 13. Standard Box plots and Non-Normal Data - 3m 44s - 2.59 MB
- 14. Effective Transformation of Cycle Time Data - 6m 48s - 6.75 MB
- 15. Calculation and Use of Quadratic Transformations - 4m 38s - 5.11 MB
- 16. General Types of Common Data Transformations - 6m 03s - 6.22 MB
Supporting Media
Location Indices - Identify, compute, and interpret the mean, median, and mode
Instruction Videos
- 1. Three Primary Indices of Central Location - 4m 13s - 3.99 MB
- 2. Computation of a Simple Mean and Mode - 2m 39s - 2.53 MB
- 3. Computation and Interpretation of a Median - 5m 34s - 5.26 MB
- 4. Distribution of Sampling Averages and Implications - 5m 17s - 4.99 MB
Expansion Videos
- 5. Links between Sample Size and Spread - Part A - 5m 01s - 4.68 MB
- 6. Links between Sample Size and Spread - Part B - 5m 50s - 3.18 MB
Application Videos
- 7. Calculation and Interpretation of Location Indices - Part A - 6m 25s - 9.11 MB
- 8. Calculation and Interpretation of Location Indices - Part B - 4m 49s - 5.93 MB
- 9. Calculation and Interpretation of Location Indices - Part C - 2m 17s - 3.05 MB
Supporting Media
Dispersion Indices - Identify, compute, and interpret the range, variance, and standard deviation
Instruction Videos
- 1. Understanding the Basic Idea of Data Dispersion - 3m 54s - 3.68 MB
- 2. Exploring an Example Set of Raw Deviations - 3m 50s - 3.63 MB
- 3. Examining the Nature and Use of a Mean Deviation - 6m 10s - 5.84 MB
- 4. Examining the Nature and Use of a Quadratic Deviation - 9m 06s - 8.65 MB
- 5. Understanding and Interrogating the Sum-of-Squares (SS) - 5m 25s - 5.13 MB
- 6. Using the Variance to Assess Dispersion - 4m 23s - 4.14 MB
- 7. Using the Standard Deviation to Assess Dispersion - 6m 36s - 6.24 MB
- 8. Geometric Visualization of a Standard Deviation - 3m 58s - 3.75 MB
- 9. Geometric Visualization of a Variance - 9m 36s - 9.11 MB
Application Videos
- 10. Hand Calculation of a Standard Deviation - Part A - 5m 39s - 7.43 MB
- 11. Hand Calculation of a Standard Deviation - Part B - 3m 54s - 4.79 MB
- 12. Hand Calculation of a Standard Deviation - Part C - 4m 32s - 6.00 MB
- 13. Calculation and Use of a Simple Range - 2m 31s - 2.97 MB
- 14. Range Method for Calculating the Standard Deviation - 7m 03s - 9.47 MB
Supporting Media
Quadratic Deviations - Understand the nature of a quadratic deviation and its basic purpose
Instruction Videos
Application Videos
- 2. Behavior and Influence of Quadratic Deviations - 4m 35s - 3.76 MB
- 3. Graphical Visualization of Quadratic Deviations - Part A - 4m 38s - 5.95 MB
- 4. Graphical Visualization of Quadratic Deviations - Part B - 8m 13s - 10.56 MB
Supporting Media
Variation Coefficient - Compute and interpret the coefficient of variation
Instruction Videos
Application Videos
Supporting Media
Deviation Freedom - Explain the concept of degrees-of-freedom and how it is used in statistical work
Instruction Videos
- 1. Describing Degrees-of-Freedom and Key Insights - 5m 41s - 5.38 MB
- 2. Establishing and Interpreting Degrees-of-Freedom (DF) - 5m 01s - 4.75 MB
- 3. Links between Degrees-of-Freedom and Statistics - 2m 39s - 2.53 MB
Application Videos
- 4. Spreadsheet Calculation for Degrees-of-Freedom (DF) - 6m 01s - 7.60 MB
- 5. Defining the Degrees-of-Freedom for a Simple Matrix - 5m 31s - 6.36 MB
- 6. Degrees-of-Freedom in the Context of Sub grouping - 4m 54s - 6.76 MB
Supporting Media
Standard Transform - Describe how to transform a set of raw data into standard normal deviates
Instruction Videos
Application Videos
- 2. Calculation of the Standard Normal Deviate (Z) - 5m 22s - 7.22 MB
- 3. Linkage between Z Values and Histograms - Part A - 5m 39s - 7.19 MB
- 4. Linkage between Z Values and Histograms - Part B - 6m 50s - 8.63 MB
- 5. Linkage between Z Values and Histograms - Part C - 9m 10s - 9.14 MB
- 6. Connection between Z Values and Performance Specifications - 8m 12s - 11.12 MB
- 7. Uses and Implications of an Equivalent Z Value (Z.EQ) - 4m 10s - 5.26 MB
Supporting Media
Standard Z-Probability - Describe how to convert a standard normal deviate into its corresponding probability
Instruction Videos
Expansion Videos
Application Videos
- 3. Creation of a Standard Normal Probability Table - 6m 31s - 9.20 MB
- 4. Spreadsheet Calculation of Standard Z Probabilities - 7m 53s - 10.99 MB
- 5. Spreadsheet Calculation of Defect Probabilities - Part A - 7m 12s - 10.13 MB
- 6. Spreadsheet Calculation of Defect Probabilities - Part B - 3m 40s - 4.35 MB
Supporting Media
Central Limit - Understand that the distribution of sampling averages follows a normal distribution
Instruction Videos
Application Videos
- 2. Demonstrating the Central Limit Theorem - Part A - 7m 59s - 7.91 MB
- 3. Demonstrating the Central Limit Theorem - Part B - 4m 13s - 4.09 MB
Supporting Media
Standard Error - Recognize that the dispersion of sampling averages is described by the standard error
Instruction Videos
- 1. Nature and Composition of the Standard Error - 6m 46s - 6.41 MB
- 2. Standard Errors and the Normal Distribution - 2m 52s - 2.73 MB
- 3. Applications and Uses of the Standard Error - 3m 54s - 3.69 MB
Supporting Media
Student's Distribution - Understand that the T distribution applies when sampling is less than infinite
Instruction Videos
Supporting Media
Standard T-Probability - Describe how to convert a T value into its corresponding probability
Instruction Videos
Application Videos
- 2. Spreadsheet Setup and Calculation of T-Probabilities - 5m 23s - 6.23 MB
- 3. Impact of Degrees-of-Freedom on T-Values and Probability - 5m 50s - 6.44 MB
Supporting Media
Statistics Simulation - Employ basic statistics to analyze data generated by the process simulator
Application Videos
Hypothesis TestingStatistical Inferences - Explain the concept of a statistical inference and its primary benefits
Instruction Videos
Expansion Videos
Application Videos
- 3. Analytical Perspective of Statistical Inferences - Part A - 6m 55s - 9.72 MB
- 4. Analytical Perspective of Statistical inferences - Part B - 5m 43s - 7.21 MB
Supporting Media
Statistical Questions - Explain the nature and purpose of a statistical question
Instruction Videos
- 1. Nature and Purpose of Statistical Questions - Part A - 4m 39s - 4.38 MB
- 2. Nature and Purpose of Statistical Questions - Part B - 2m 21s - 2.24 MB
Application Videos
- 3. Formulation of Statistical Questions - Part A - 5m 58s - 8.02 MB
- 4. Formulation of Statistical Questions - Part B - 2m 51s - 3.66 MB
- 5. Formulation of Statistical Questions - Part C - 4m 46s - 4.92 MB
Supporting Media
Statistical Problems - Understand why practical problems must be translated into statistical problems
Instruction Videos
- 1. Nature and Implications of Statistical Problems - Part A - 5m 32s - 5.24 MB
- 2. Nature and Implications of Statistical Problems - Part B - 5m 11s - 4.92 MB
Supporting Media
Null Hypotheses - Define the nature and role of null hypotheses when making process improvements
Instruction Videos
- 1. Nature and Purpose of a Null Hypothesis - Part A - 8m 18s - 7.86 MB
- 2. Nature and Purpose of a Null Hypothesis - Part B - 6m 22s - 6.02 MB
- 3. Null Hypotheses and the Distribution of Chance - Part A - 3m 45s - 3.54 MB
- 4. Null Hypotheses and the Distribution of Chance - Part B - 4m 11s - 3.95 MB
Application Videos
- 5. Null Hypotheses and Random Chance Error - Part A - 4m 30s - 6.11 MB
- 6. Null Hypotheses and Random Chance Error - Part B - 4m 23s - 3.52 MB
Supporting Media
Alternate Hypotheses - Define the nature and role of alternate hypotheses when making process improvements
Instruction Videos
- 1. Nature and Aim of the Alternate Hypothesis - Part A - 7m 34s - 7.17 MB
- 2. Nature and Aim of the Alternate Hypothesis - Part B - 5m 41s - 5.38 MB
Application Videos
Supporting Media
Statistical Significance - Explain the concept of statistical significance versus practical significance
Instruction Videos
- 1. Meaning and Implication of Statistical Significance - 6m 58s - 6.59 MB
- 2. Alternate Hypotheses and Statistical Significance - 9m 03s - 8.57 MB
- 3. Illustration and Explanation of Statistical Significance - 6m 03s - 5.73 MB
- 4. Statistical Significance and the Standard Error - Part A - 3m 56s - 3.71 MB
- 5. Statistical Significance and the Standard Error - Part B - 8m 31s - 8.07 MB
Application Videos
- 6. Dynamic Simulation of Statistical Significance - Part A - 4m 03s - 3.73 MB
- 7. Dynamic Simulation of Statistical Significance - Part B - 6m 53s - 7.13 MB
- 8. Dynamic Simulation of Statistical Significance - Part C - 5m 03s - 5.31 MB
- 9. Dynamic Simulation of Statistical Significance - Part D - 5m 35s - 4.50 MB
Supporting Media
Alpha Risk - Explain the concept of alpha risk in terms of the alternate hypothesis
Instruction Videos
Expansion Videos
Application Videos
- 3. Links between the Sample Mean and Alpha Risk - 8m 07s - 9.87 MB
- 4. Links between the Sample Variance and Alpha Risk - 4m 26s - 5.83 MB
Supporting Media
Beta Risk - Define the meaning of beta risk and how it relates to test sensitivity
Instruction Videos
- 1. Central Meaning and Implication of Beta Risk - Part A - 4m 46s - 4.84 MB
- 2. Central Meaning and Implication of Beta Risk - Part B - 6m 01s - 6.10 MB
- 3. Connecting Beta Risk to the Power of Test - 7m 02s - 7.14 MB
Expansion Videos
Application Videos
- 5. Links between a Sample Mean and Beta Risk - 6m 45s - 7.21 MB
- 6. Links between a Sample Variance and Beta Risk - 7m 47s - 10.46 MB
Supporting Media
Criterion Differences - Explain the role of a criterion difference when testing hypotheses
Instruction Videos
Application Videos
Supporting Media
Decision Scenarios - Develop a scenario that exemplifies the use of hypothesis testing
Instruction Videos
- 1. Types of Decision Errors and the Truth Table - 4m 18s - 4.35 MB
- 2. Truth Tables Applied to Statistical Hypotheses - 7m 06s - 7.23 MB
Expansion Videos
- 3. Application of Statistical Decision Making - Part A - 1m 58s - 1.34 MB
- 4. Application of Statistical Decision Making - Part B - 3m 47s - 7.82 MB
Supporting Media
Sample Size - Define the statistical elements that must be considered when computing sample size
Instruction Videos
- 1. Nature and Implications of Sample Size - Part A - 3m 50s - 3.89 MB
- 2. Nature and Implications of Sample Size - Part B - 3m 58s - 4.06 MB
- 3. Determination of Sample Size for Experiments - Part A - 7m 00s - 7.12 MB
- 4. Determination of Sample Size for Experiments - Part B - 8m 13s - 8.35 MB
- 5. Key Considerations for Computing Sample Size - 9m 41s - 9.85 MB
- 6. Calculation of an Appropriate Sample Size - Part A - 5m 14s - 5.32 MB
- 7. Calculation of an Appropriate Sample Size - Part B - 3m 15s - 3.32 MB
- 8. Calculation of an Appropriate Sample Size - Part C - 5m 26s - 5.51 MB
- 9. Calculation of an Appropriate Sample Size - Part D - 7m 42s - 7.85 MB
- 10. Calculation of an Appropriate Sample Size - Part E - 6m 12s - 6.29 MB
- 11. Relationship between Six Sigma and Sample Size - 9m 29s - 9.64 MB
- 12. Role of Sample Size in Hypothesis Testing - Part A - 5m 46s - 5.85 MB
- 13. Role of Sample Size in Hypothesis Testing - Part B - 7m 41s - 7.81 MB
Application Videos
- 14. Example Calculation of Sample Size - Part A - 6m 34s - 3.04 MB
- 15. Example Calculation of Sample Size - Part B - 3m 38s - 1.84 MB
- 16. Calculation of Sample Size for Discrete Data - Part A - 3m 57s - 4.10 MB
- 17. Calculation of Sample Size for Discrete Data - Part B - 2m 49s - 2.81 MB
- 18. Power of a Test and Random Sampling - Part A - 4m 48s - 4.35 MB
- 19. Power of a Test and Random Sampling - Part B - 1m 41s - 1.90 MB
- 20. Power of a Test and Random Sampling - Part C - 3m 03s - 3.59 MB
Supporting Media
Confidence IntervalsMean Distribution - Comprehend and characterize the distribution of sampling averages
Instruction Videos
Supporting Media
Mean Interval - Compute and interpret the confidence interval of a mean
Instruction Videos
- 1. Establishing Confidence Intervals for the Mean - Part A - 4m 51s - 4.58 MB
- 2. Establishing Confidence Intervals for the Mean - Part B - 8m 50s - 8.38 MB
- 3. Establishing Confidence Intervals for the Mean - Part C - 3m 22s - 3.21 MB
- 4. Establishing Confidence Intervals for the Mean - Part D - 6m 25s - 6.06 MB
- 5. Interpretation of a Mean Confidence Interval - Part A - 7m 06s - 6.72 MB
- 6. Interpretation of a Mean Confidence Interval - Part B - 3m 25s - 3.23 MB
Application Videos
- 7. Dynamic Simulation of a Mean Confidence Interval - 7m 40s - 9.46 MB
- 8. Utilization of a Mean Confidence Interval - Part A - 4m 25s - 3.08 MB
- 9. Utilization of a Mean Confidence Interval - Part B - 4m 40s - 3.89 MB
- 10. Utilization of a Mean Confidence Interval - Part C - 3m 45s - 2.68 MB
Supporting Media
Variance Distribution - Comprehend and characterize the distribution of sampling variances
Instruction Videos
- 1. Exploring the Distribution of Sampling Variances - Part A - 2m 43s - 2.60 MB
- 2. Exploring the Distribution of Sampling Variances - Part B - 7m 59s - 7.58 MB
- 3. Exploring the Distribution of Sampling Variances - Part C - 2m 38s - 2.52 MB
Application Videos
Supporting Media
Variance Interval - Compute and interpret the confidence interval of a variance
Instruction Videos
- 1. Establishing Confidence Intervals for the Variance - Part A - 5m 32s - 5.24 MB
- 2. Establishing Confidence Intervals for the Variance - Part B - 7m 15s - 6.87 MB
- 3. Establishing Confidence Intervals for the Variance - Part C - 6m 01s - 5.68 MB
Application Videos
- 4. Simulation of a Variance Confidence Interval - Part A - 5m 06s - 6.57 MB
- 5. Simulation of a Variance Confidence Interval - Part B - 6m 17s - 8.02 MB
- 6. Statistical Comparison of Variance Confidence Intervals - 5m 41s - 3.50 MB
Supporting Media
Proportion Distribution - Comprehend and characterize the distribution of sampling proportions
Instruction Videos
Supporting Media
Proportion Interval - Compute and interpret the confidence interval of a proportion
Instruction Videos
- 1. Establishing Confidence Intervals for a Proportion - Part A - 7m 42s - 7.30 MB
- 2. Establishing Confidence Intervals for a Proportion - Part B - 6m 16s - 5.93 MB
Application Videos
- 3. Confidence Interval of Process Yield and Interpretation - 3m 14s - 1.81 MB
- 4. Testing a Proportion Using a Basic Z-Test - Part A - 3m 48s - 3.19 MB
- 5. Testing a Proportion Using a Basic Z-Test - Part B - 2m 38s - 2.28 MB
- 6. Impact of Sample Size on Discrete Confidence Intervals - 3m 24s - 3.51 MB
Supporting Media
Frequency Interval - Describe how frequency of defects is related to confidence intervals
Instruction Videos
- 1. Statistical Confidence Intervals for Frequencies - 6m 52s - 7.00 MB
- 2. Confidence Intervals for Defects-Per-Unit (DPU) - Part A - 4m 56s - 5.00 MB
- 3. Confidence Intervals for Defects-Per-Unit (DPU) - Part B - 5m 13s - 5.31 MB
Supporting Media
Parametric MethodsMean Differences - Determine if two means are statistically different from each other
Instruction Videos
- 1. Statistical Reasoning behind the Test of a Single Mean - 5m 21s - 5.06 MB
- 2. Statistical Tools for Testing a Single Mean - Part A - 6m 07s - 5.79 MB
- 3. Statistical Tools for Testing a Single Mean - Part B - 15m 16s - 12.43 MB
- 4. Two-Group Comparison of Mean Differences - Part A - 8m 28s - 8.01 MB
- 5. Two-Group Comparison of Mean Differences - Part B - 7m 37s - 7.22 MB
- 6. Two-Group Comparison of Mean Differences - Part C - 14m 09s - 12.92 MB
- 7. Two-Group Comparison of Mean Differences - Part D - 6m 19s - 5.99 MB
Expansion Videos
- 8. Simulation of a Typical Two-Group Comparison - Part A - 7m 14s - 3.77 MB
- 9. Simulation of a Typical Two-Group Comparison - Part B - 4m 00s - 2.17 MB
- 10. Simulation of a Typical Two-Group Comparison - Part C - 4m 16s - 2.23 MB
- 11. Simulation of a Typical Two-Group Comparison - Part D - 3m 14s - 1.95 MB
Application Videos
- 12. Calculations for a 2-Sample T-Test - Part A - 5m 09s - 6.41 MB
- 13. Calculations for a 2-Sample T-Test - Part B - 5m 29s - 7.25 MB
- 14. Calculations for a 2-Sample T-Test - Part C - 5m 14s - 5.99 MB
Supporting Media
Variance Differences - Determine if two variances are statistically different from each other
Instruction Videos
- 1. Nature and Purpose of a Two-Group Variance Test - 3m 14s - 3.04 MB
- 2. Execution and Analysis of a 2-Sample F-Test - Part A - 6m 50s - 6.46 MB
- 3. Execution and Analysis of a 2-Sample F-Test - Part B - 5m 52s - 5.54 MB
- 4. Execution and Analysis of a 2-Sample F-Test - Part C - 5m 20s - 5.04 MB
- 5. Execution and Analysis of a 2-Sample F-Test - Part D - 4m 16s - 4.03 MB
Application Videos
- 6. Spreadsheet Calculation of a Simple F-Test - Part A - 3m 08s - 2.22 MB
- 7. Spreadsheet Calculation of a Simple F-Test - Part B - 4m 28s - 5.25 MB
- 8. Spreadsheet Calculation of a Simple F-Test - Part C - 2m 29s - 2.95 MB
- 9. Use of Confidence Intervals for Testing Variances - 3m 57s - 4.10 MB
Supporting Media
Variation Total - Compute and interpret the total sums-of-squares
Instruction Videos
- 1. Compilation and Analysis of the Total Variation - 8m 06s - 7.67 MB
- 2. Essential Concepts Related to the Total Variation - 5m 08s - 4.85 MB
Application Videos
Supporting Media
Variation Within - Compute and interpret the within-group sums-of-squares
Instruction Videos
Application Videos
Supporting Media
Variation Between - Compute and interpret the between-group sums-of-squares
Instruction Videos
Application Videos
Supporting Media
Variation Analysis - Explain how the analysis of variances can reveal mean differences
Instruction Videos
- 1. Purpose and Aims of a Variation Analysis - 9m 59s - 9.45 MB
- 2. Primary Sources of Process Variation - Part A - 10m 11s - 9.65 MB
- 3. Primary Sources of Process Variation - Part B - 5m 30s - 5.20 MB
Application Videos
Supporting Media
One-Way ANOVA - Construct and interpret a one-way analysis-of-variance table
Instruction Videos
- 1. Nature and Purpose of One-Way ANOVA - 13m 43s - 13.02 MB
- 2. Comparison of Multiple Groups using One-Way ANOVA - 5m 09s - 4.87 MB
- 3. One-Way ANOVA Table and Interpretation - Part A - 5m 33s - 5.25 MB
- 4. One-Way ANOVA Table and Interpretation - Part B - 6m 36s - 6.24 MB
- 5. One-Way ANOVA Table and Interpretation - Part C - 10m 30s - 9.94 MB
- 6. Difference between Practical and Statistical Significance - 7m 44s - 7.32 MB
Application Videos
- 7. Execution of the One-Way ANOVA Procedure - Part A - 5m 22s - 5.08 MB
- 8. Execution of the One-Way ANOVA Procedure - Part B - 3m 47s - 4.64 MB
- 9. Understanding Post-Hoc Comparisons and Applications - 5m 41s - 6.63 MB
- 10. Using One-Way ANOVA for Process Characterization - 7m 23s - 7.33 MB
- 11. Case Study for the Application of One-Way ANOVA - 5m 08s - 5.63 MB
Supporting Media
Two-Way ANOVA - Construct and interpret a two-way analysis-of-variance table
Instruction Videos
Application Videos
Supporting Media
N-Way ANOVA - Construct and interpret an N-way analysis-of-variance table
Instruction Videos
Application Videos
Supporting Media
ANOVA Graphs - Construct and interpret a main effects plot as well as an interaction plot
Instruction Videos
- 1. Nature and Interpretation of ANOVA Graphs - 7m 51s - 7.43 MB
- 2. Creation of an ANOVA Main-Effect Plot - Part A - 6m 06s - 5.78 MB
- 3. Creation of an ANOVA Main-Effect Plot - Part B - 5m 05s - 4.81 MB
- 4. Creation of an ANOVA Main-Effect Plot - Part C - 6m 02s - 5.71 MB
Application Videos
- 5. Graphical Interrogation of ANOVA Results - Part A - 5m 33s - 4.40 MB
- 6. Graphical Interrogation of ANOVA Results - Part B - 6m 47s - 5.68 MB
Supporting Media
Linear Regression - Conduct a linear regression and construct an appropriate model
Instruction Videos
- 1. Nature and Purpose of Linear Regression - 11m 25s - 10.84 MB
- 2. Understanding the Key Elements of Linear Regression - 9m 19s - 8.84 MB
- 3. Creation and Use of a Simple Regression Equation - 5m 13s - 4.94 MB
- 4. Links between Regression and Correlation Coefficients - 9m 27s - 8.96 MB
Expansion Videos
- 5. Dynamic Simulation of a Simple Linear Regression - 1m 53s - 1.10 MB
- 6. Common Applications of Simple Linear Regression - 3m 16s - 2.47 MB
- 7. Influence of Sample Size on Linear Regression - 7m 27s - 6.31 MB
Application Videos
- 8. Case Study for the Use of Linear Regression - Part A - 6m 23s - 6.35 MB
- 9. Case Study for the Use of Linear Regression - Part B - 4m 33s - 6.20 MB
- 10. Case Study for the Use of Linear Regression - Part C - 2m 25s - 2.85 MB
- 11. Case Study for the Use of Linear Regression - Part D - 6m 06s - 6.78 MB
- 12. Case Study for the Use of Linear Regression - Part E - 3m 54s - 4.60 MB
- 13. Case Study for the Use of Linear Regression - Part F - 6m 13s - 7.64 MB
Supporting Media
Multiple Regression - Conduct a multiple regression and construct an appropriate model
Instruction Videos
Application Videos
- 2. Case Study for the use of Multiple Regression - Part A - 4m 38s - 6.08 MB
- 3. Case Study for the use of Multiple Regression - Part B - 5m 19s - 7.38 MB
Supporting Media
Residual Analysis - Compute and analyze the residuals resulting from a simple regression
Instruction Videos
- 1. Understanding the Nature of Residuals Analysis - 7m 57s - 7.54 MB
- 2. Graphical Interpretation and Analysis of Residuals - 8m 16s - 7.84 MB
Expansion Videos
Supporting Media
Parametric Simulation - Apply general regression methods to the process simulator
Application Videos
- 1. Process Simulation for Parametric Statistics - Part A - 3m 10s - 3.34 MB
- 2. Process Simulation for Parametric Statistics - Part B - 5m 54s - 6.95 MB
- 3. Process Simulation for Parametric Statistics - Part C - 3m 20s - 3.64 MB
- 4. Process Simulation for Parametric Statistics - Part D - 3m 51s - 4.67 MB
- 5. Process Simulation for Parametric Statistics - Part E - 5m 23s - 6.39 MB
- 6. Process Simulation for Parametric Statistics - Part F - 10m 00s - 6.54 MB
Experimental MethodsDesign Principles - Understand the principles of experiment design and analysis
Instruction Videos
- 1. Nature and Purpose of Statistical Experiment Design - 4m 26s - 4.18 MB
- 2. Basic Idea of Quadratic Loss and Related Implications - 6m 35s - 6.24 MB
- 3. Linking Statistical Hypotheses to Designed Experiments - 7m 26s - 7.03 MB
- 4. Understanding How to Optimize Performance - Part A - 6m 13s - 5.89 MB
- 5. Understanding How to Optimize Performance - Part B - 3m 40s - 3.46 MB
- 6. Understanding How to Optimize Performance - Part C - 4m 14s - 3.99 MB
- 7. Practical Applications of Experiment Design Methods - 4m 27s - 4.20 MB
- 8. General Sequence for Planning and Executing a DOE - 6m 04s - 5.74 MB
Supporting Media
Design Models - Describe the various types of designed experiments and their applications
Instruction Videos
- 1. Primary Types of Experiment Design Models - Part A - 6m 55s - 6.55 MB
- 2. Primary Types of Experiment Design Models - Part B - 6m 23s - 6.03 MB
Supporting Media
Experimental Strategies - Outline a strategy for designing and analyzing a statistical experiment
Instruction Videos
- 1. Process for Executing a Designed Experiment - Part A - 6m 49s - 6.45 MB
- 2. Process for Executing a Designed Experiment - Part B - 10m 16s - 9.73 MB
- 3. Process for Executing a Designed Experiment - Part C - 4m 09s - 3.90 MB
Supporting Media
Experimental Effects - Define the various types of experimental effects and how they impact decisions
Instruction Videos
- 1. Visualization of Common Experimental Effects - Part A - 4m 24s - 4.16 MB
- 2. Visualization of Common Experimental Effects - Part B - 6m 46s - 6.39 MB
- 3. Concept and Implications of Confounding - Part A - 5m 25s - 5.15 MB
- 4. Concept and Implications of Confounding - Part B - 2m 09s - 2.05 MB
- 5. Concept and Implications of Experimental Blocking - 2m 45s - 2.63 MB
- 6. Relationship between Blocking and Randomization - 2m 57s - 2.82 MB
Supporting Media
One-Factor Two Level - Configure and analyze a one-factor two-level statistically based experiment
Instruction Videos
- 1. Nature and Purpose of a One-Factor Experiment - 7m 22s - 6.97 MB
- 2. Main Effects of a Single Factor Experiment - 4m 24s - 4.16 MB
- 3. Linkage of Statistical Tolerancing to DOE - Part A - 7m 14s - 6.85 MB
- 4. Linkage of Statistical Tolerancing to DOE - Part B - 2m 46s - 2.60 MB
- 5. Use of Regression for the Analysis of Experiments - 2m 39s - 2.53 MB
- 6. Treatment and Interpretation of Non-Linear Effects - 5m 35s - 5.30 MB
Application Videos
- 7. One-Way ANOVA Method Applied to DOE - Part A - 3m 30s - 3.56 MB
- 8. One-Way ANOVA Method Applied to DOE - Part B - 5m 05s - 4.87 MB
Supporting Media
One-Factor Multi Level - Configure and analyze a one-factor multi-level statistically based experiment
Instruction Videos
Application Videos
- 2. ANOVA Method for Multi-Level Designs - Part A - 5m 19s - 5.44 MB
- 3. ANOVA Method for Multi-Level Designs - Part B - 1m 25s - 1.63 MB
Supporting Media
Full Factorials - Understand the nature and underlying logic of full factorial experiments
Instruction Videos
- 1. Nature and Character of Full Factorial Experiments - 6m 49s - 6.46 MB
- 2. Full Factorial Design and Basic Experimental Effects - 6m 32s - 6.18 MB
- 3. Features and Benefits of Full Factorial Experiments - 6m 25s - 6.08 MB
Supporting Media
Two-Factor Two Levels - Configure and analyze a two-factor two-level statistically based experiment
Instruction Videos
- 1. Two-Factor Two-Level Experiment Design - Part A - 4m 44s - 4.47 MB
- 2. Two-Factor Two-Level Experiment Design - Part B - 3m 29s - 3.29 MB
- 3. Two-Factor Two-Level Experiment Design - Part C - 2m 54s - 2.75 MB
- 4. Calculation and Display of Key Experimental Effects - 5m 04s - 4.78 MB
- 5. Graphing and Interpretation of Main Effects - 4m 33s - 4.30 MB
- 6. Graphing and Interpretation of Interactions - Part A - 4m 58s - 4.71 MB
- 7. Graphing and Interpretation of Interactions - Part B - 4m 46s - 4.50 MB
- 8. Creation and Structure of a Two-Way ANOVA Table - 8m 22s - 7.94 MB
- 9. Discovering the Path-of-Steepest-Assent - Part A - 8m 13s - 7.78 MB
- 10. Discovering the Path-of-Steepest-Assent - Part B - 5m 43s - 5.41 MB
Expansion Videos
- 11. Use of DOE to Facilitate Team Decision Making - Part A - 3m 26s - 1.39 MB
- 12. Use of DOE to Facilitate Team Decision Making - Part B - 6m 00s - 4.68 MB
- 13. Use of DOE to Facilitate Team Decision Making - Part C - 3m 28s - 1.54 MB
- 14. Use of DOE to Facilitate Team Decision Making - Part D - 5m 04s - 2.88 MB
- 15. Use of DOE to Facilitate Team Decision Making - Part E - 4m 24s - 2.30 MB
- 16. Use of DOE to Facilitate Team Decision Making - Part F - 3m 22s - 2.30 MB
- 17. Use of DOE to Facilitate Team Decision Making - Part G - 6m 01s - 2.99 MB
- 18. Use of DOE to Facilitate Team Decision Making - Part H - 2m 39s - 1.29 MB
Application Videos
- 19. Contrast Method for Conducting an ANOVA - Part A - 9m 33s - 10.82 MB
- 20. Contrast Method for Conducting an ANOVA - Part B - 2m 55s - 3.62 MB
- 21. Generation of a Two-Factor Two-Level Design - Part A - 6m 17s - 6.92 MB
- 22. Generation of a Two-Factor Two-Level Design - Part B - 2m 32s - 2.88 MB
- 23. Analysis of a Replicated Two-Factor Experiment - 7m 48s - 8.90 MB
- 24. Analysis of an Unreplicated Two-Factor Experiment - 5m 31s - 5.42 MB
- 25. Catapult Case Study for a Two-Factor Experiment - 11m 40s - 8.88 MB
Supporting Media
Two-Factor Multi Level - Configure and analyze a two-factor multi-level statistically based experiment
Instruction Videos
Supporting Media
Three-Factor Two Level - Configure and analyze a three-factor two-level statistically based experiment
Instruction Videos
Application Videos
- 2. Design and Analysis of a Three-Factor DOE - Part A - 7m 03s - 7.38 MB
- 3. Design and Analysis of a Three-Factor DOE - Part B - 5m 49s - 5.95 MB
- 4. Design and Analysis of a Three-Factor DOE - Part C - 4m 09s - 5.64 MB
- 5. Creation and Application of an Outer Array - Part A - 3m 40s - 3.68 MB
- 6. Creation and Application of an Outer Array - Part B - 8m 23s - 10.11 MB
- 7. Use of Regression for Analyzing Experiments - Part A - 2m 29s - 2.91 MB
- 8. Use of Regression for Analyzing Experiments - Part B - 4m 33s - 5.88 MB
- 9. Expanding the Factorial Design Matrix - Part A - 1m 47s - 2.14 MB
- 10. Expanding the Factorial Design Matrix - Part B - 7m 56s - 8.38 MB
Supporting Media
Planning Experiments - Understand the planning and implementation considerations related to statistical experiments
Instruction Videos
- 1. Calculation and Implications of Sample Size in a DOE - 9m 47s - 6.46 MB
- 2. Process for Planning Statistical Experiments - Part A - 4m 32s - 4.28 MB
- 3. Process for Planning Statistical Experiments - Part B - 5m 32s - 5.23 MB
- 4. Process for Planning Statistical Experiments - Part C - 4m 32s - 4.29 MB
- 5. Process for Planning Statistical Experiments - Part D - 4m 54s - 4.64 MB
Supporting Media
Fractional Factorials - Understand the nature and underlying logic of fractional factorial experiments
Instruction Videos
- 1. Concept and Aims of Fractional Factorial Experiments - 5m 30s - 5.20 MB
- 2. Logic of the Fractional Factorial Design Matrix - 7m 19s - 6.94 MB
- 3. Three-Factor Fractional Factorial Experiments - Part A - 9m 07s - 8.65 MB
- 4. Three-Factor Fractional Factorial Experiments - Part B - 6m 20s - 6.02 MB
- 5. Concept and Implications of Design Resolution - Part A - 5m 01s - 4.74 MB
- 6. Concept and Implications of Design Resolution - Part B - 4m 10s - 3.94 MB
- 7. Concept and Implications of Design Resolution - Part C - 4m 01s - 3.80 MB
- 8. Concept and Implications of Design Resolution - Part D - 2m 57s - 2.78 MB
- 9. Concept and Implications of Design Resolution - Part E - 4m 40s - 4.40 MB
Application Videos
- 10. Generation of a Fractional Factorial Matrix - Part A - 8m 39s - 10.97 MB
- 11. Generation of a Fractional Factorial Matrix - Part B - 3m 12s - 3.40 MB
- 12. Generation of a Fractional Factorial Matrix - Part C - 2m 34s - 3.18 MB
- 13. Generation of a Fractional Factorial Matrix - Part D - 6m 05s - 7.49 MB
- 14. Execution of a Fractional Factorial Experiment - 7m 11s - 8.68 MB
Supporting Media
Four-Factor Half-Fraction - Configure and analyze a four-factor half-fraction statistically based experiment
Instruction Videos
- 1. Four-Factor Half-Fraction Design Matrix - Part A - 3m 35s - 3.39 MB
- 2. Four-Factor Half-Fraction Design Matrix - Part B - 5m 46s - 5.45 MB
Application Videos
Supporting Media
Five-Factor Half-Fraction - Configure and analyze a five-factor half-fraction statistically based experiment
Instruction Videos
Application Videos
- 2. Execution of Five-Factor Half-Fraction Design - Part A - 5m 05s - 5.42 MB
- 3. Execution of Five-Factor Half-Fraction Design - Part B - 3m 28s - 4.09 MB
- 4. Execution of Five-Factor Half-Fraction Design - Part C - 1m 52s - 2.06 MB
- 5. Catapult Case Study for the Five-Factor Design - Part A - 5m 05s - 7.07 MB
- 6. Catapult Case Study for the Five-Factor Design - Part B - 4m 29s - 2.28 MB
- 7. Catapult Case Study for the Five-Factor Design - Part C - 6m 27s - 4.46 MB
Supporting Media
Screening Designs - Understand how to select, implement, and analyze a screening experiment
Instruction Videos
Application Videos
- 2. Example Execution and Analysis of a Screening Design - Part A - 3m 24s - 3.62 MB
- 3. Example Execution and Analysis of a Screening Design - Part B - 4m 10s - 3.57 MB
Supporting Media
Robust Designs - Explain the purpose of robust design and define several practical usages
Instruction Videos
- 1. Nature and Purpose of Robust Design Methods - Part A - 5m 25s - 5.51 MB
- 2. Nature and Purpose of Robust Design Methods - Part B - 5m 36s - 5.69 MB
- 3. Nature and Purpose of Robust Design Methods - Part C - 2m 06s - 2.16 MB
- 4. Nature and Purpose of Robust Design Methods - Part D - 2m 47s - 2.85 MB
Application Videos
- 5. Execution and Analysis of a Robust Design - Part A - 4m 14s - 3.59 MB
- 6. Execution and Analysis of a Robust Design - Part B - 5m 29s - 4.51 MB
- 7. Execution and Analysis of a Robust Design - Part C - 6m 27s - 5.99 MB
- 8. Execution and Analysis of a Robust Design - Part D - 5m 19s - 3.22 MB
- 9. Execution and Analysis of a Robust Design - Part E - 6m 07s - 4.16 MB
- 10. Execution and Analysis of a Robust Design - Part F - 4m 44s - 5.14 MB
- 11. Execution and Analysis of a Robust Design - Part G - 8m 21s - 5.80 MB
- 12. Execution and Analysis of a Robust Design - Part H - 4m 22s - 4.36 MB
- 13. Execution and Analysis of a Robust Design - Part I - 7m 08s - 6.19 MB
- 14. Execution and Analysis of a Robust Design - Part J - 4m 30s - 3.66 MB
Supporting Media
Experiment Simulation - Describe how a DOE can be employed when measurement data is not available
Application Videos
Measurement AnalysisMeasurement Uncertainty - Understand the concept of measurement uncertainty
Instruction Videos
- 1. Nature and Meaning of Measurement Uncertainty - 5m 23s - 5.10 MB
- 2. Purpose of a Measurement Systems Analysis (MSA) - 7m 06s - 6.73 MB
- 3. Primary Elements of Measurement System - 3m 14s - 3.05 MB
Supporting Media
Measurement Components - Describe the components of measurement error and their consequential impact
Instruction Videos
- 1. Categories of Measurement System Error - 4m 55s - 6.03 MB
- 2. Repeatability and Reproducibility of Measurements - 6m 22s - 4.18 MB
- 3. Additive Nature of Measurement System Errors - 4m 25s - 4.62 MB
Supporting Media
Measurement Studies - Explain how a measurement systems analysis is designed and conducted
Instruction Videos
- 1. Example Analysis of a Measurement System - Part A - 2m 41s - 2.56 MB
- 2. Example Analysis of a Measurement System - Part B - 7m 14s - 6.85 MB
- 3. Example Analysis of a Measurement System - Part C - 5m 36s - 5.31 MB
- 4. Example Analysis of a Measurement System - Part D - 6m 23s - 6.05 MB
- 5. Example Analysis of a Measurement System - Part E - 9m 53s - 9.37 MB
Application Videos
- 6. Case Study for Conducting an MSA Study - Part A - 8m 19s - 8.43 MB
- 7. Case Study for Conducting an MSA Study - Part B - 4m 13s - 5.27 MB
Supporting Media
Performance Yield - Explain why final yield is often higher than first-time yield
Instruction Videos
- 1. Fundamental Nature and Components of Process Yield - 3m 21s - 3.19 MB
- 2. Changes in Product and Process Yield over Time - 4m 13s - 3.98 MB
- 3. Different Perspectives of Product and Process Yield - 5m 44s - 5.44 MB
- 4. Product Yield and the Poisson Distribution - 6m 50s - 6.46 MB
Expansion Videos
- 5. Connections between Yield and Process Capacity - 0m 42s - 4.35 MB
- 6. Fundamental Concept of Throughput Yield - 2m 45s - 1.15 MB
- 7. Expanded Understanding of Throughput Yield - 3m 09s - 2.02 MB
Application Videos
- 8. Calculations Associated with Throughput Yield - 5m 14s - 3.74 MB
- 9. Four Primary Types of Product and Process Yield - 4m 50s - 3.74 MB
- 10. Product Yield and the Sigma Scale of Measure - 2m 24s - 3.22 MB
- 11. Simulation of Process Yield Using the Poisson Model - 4m 03s - 2.87 MB
- 12. Validation of the Poisson Distribution as a Defect Model - 7m 09s - 9.38 MB
- 13. Linkages between Poisson and the Normal Distribution - 2m 15s - 2.61 MB
- 14. Simulation of Product and Process Yield - Part A - 3m 23s - 3.74 MB
- 15. Simulation of Product and Process Yield - Part B - 4m 58s - 6.69 MB
- 16. Simulation of Product and Process Yield - Part C - 5m 50s - 7.68 MB
- 17. Simulation of Product and Process Yield - Part D - 7m 16s - 9.32 MB
Supporting Media
Hidden Processes - Describe the non-value added component of a process
Instruction Videos
- 1. Connecting Yield Calculations to Hidden Processes - Part A - 5m 09s - 4.86 MB
- 2. Connecting Yield Calculations to Hidden Processes - Part B - 3m 47s - 3.62 MB
- 3. Using Throughput Yield to Manage Critical Processes - 2m 02s - 1.93 MB
- 4. Linkages between Throughput Yield and Cycle Time - 9m 28s - 8.97 MB
Expansion Videos
- 5. Non-Value Added Activities Related to Hidden Processes - 2m 48s - 1.93 MB
- 6. Reasons that Hidden Processes Continue to Thrive - 5m 12s - 2.33 MB
- 7. Association between Capability and Hidden Processes - 6m 31s - 6.79 MB
- 8. Elimination of Hidden Processes and Unnecessary Costs - 6m 00s - 8.97 MB
Supporting Media
Measurement Power - Describe the role of measurement in an improvement initiative
Instruction Videos
- 1. Six Sigma and the Role of Measurement - 3m 41s - 3.47 MB
- 2. Links between DMAIC and the Need for Measurement - 3m 18s - 3.14 MB
- 3. Connecting Defects to the Idea of Uncertainty - 6m 15s - 5.92 MB
- 4. Process Improvement and the Role of Measurement - 6m 55s - 6.55 MB
- 5. Critical Connections Between Measurements and Statistics - 6m 58s - 6.59 MB
Expansion Videos
Application Videos
Supporting Media
Establishing Baselines - Explain why performance baselines are essential to realizing improvement
Instruction Videos
- 1. Nature and Use of Performance Baselines - 4m 10s - 3.94 MB
- 2. Development of Process Capability Baselines - 6m 08s - 5.80 MB
- 3. Performance Baselines and the Standard Deviation - 4m 45s - 4.50 MB
- 4. Sigma Reporting and Performance Benchmarking - 4m 42s - 4.45 MB
Expansion Videos
- 5. Extending the Need for Performance Baselining - 0m 58s - 0.37 MB
- 6. Steps for Calculating a Performance Baseline - Part A - 3m 06s - 3.93 MB
- 7. Steps for Calculating a Performance Baseline - Part B - 3m 01s - 2.07 MB
- 8. Steps for Calculating a Performance Baseline - Part C - 3m 44s - 2.08 MB
Application Videos
- 9. Calculation of a Six Sigma Performance Baseline - Part A - 6m 36s - 5.23 MB
- 10. Calculation of a Six Sigma Performance Baseline - Part B - 2m 28s - 1.86 MB
- 11. Conversion of Probabilities to the Sigma Scale - 4m 17s - 3.09 MB
- 12. Estimating a Sigma Value for the Case of Zero Defects - 1m 57s - 1.52 MB
Supporting Media
Defect Opportunity - Understand the nature of a defect opportunity and its role in metrics reporting
Instruction Videos
- 1. Nature and Character of a Defect Opportunity - 6m 43s - 6.37 MB
- 2. Accounting and Reporting of Defect Opportunities - 5m 18s - 5.01 MB
Expansion Videos
- 3. Gaining a Deeper Understanding of Defect Opportunities - 1m 31s - 0.60 MB
- 4. Methods of Counting Defect Opportunities - Part A - 7m 58s - 11.15 MB
- 5. Methods of Counting Defect Opportunities - Part B - 7m 16s - 10.68 MB
- 6. Methods of Counting Defect Opportunities - Part C - 5m 41s - 6.78 MB
- 7. Basic Criteria for Defining a Defect Opportunity - 2m 50s - 2.76 MB
- 8. Linkage between Defect Opportunities and Probability - 4m 56s - 1.66 MB
- 9. Practical Application of Defect Opportunities - Part A - 5m 41s - 3.37 MB
- 10. Practical Application of Defect Opportunities - Part B - 2m 32s - 3.07 MB
Application Videos
- 11. Practical Methods for Estimating Defect Opportunities - 3m 57s - 3.38 MB
- 12. Creating a Defect Opportunity Matrix - Part A - 3m 22s - 3.14 MB
- 13. Creating a Defect Opportunity Matrix - Part B - 3m 33s - 3.44 MB
Supporting Media
Process Models - Define the key features of a Six Sigma performance model
Instruction Videos
- 1. Applying a Systems Model to the Practice of Six Sigma - 6m 28s - 6.11 MB
- 2. Constructing and Using Basic Histograms - 3m 24s - 3.21 MB
- 3. Constructing a Statistical Performance Model - 6m 24s - 6.06 MB
- 4. Practical Influence of Process Shift and Drift - 4m 49s - 8.48 MB
Expansion Videos
- 5. Understanding the Nature of a Standard Deviation - 6m 36s - 7.29 MB
- 6. Consequential Impact of Process Centering Errors - 5m 39s - 2.83 MB
- 7. Time Related Influences and Process Capability Metrics - 7m 23s - 7.23 MB
- 8. Short-Term Definition of Six Sigma Performance - 5m 02s - 2.08 MB
- 9. Long-Term Definition of Six Sigma Performance - 2m 33s - 1.25 MB
Application Videos
- 10. Construction of a Performance Histogram - Part A - 4m 32s - 4.33 MB
- 11. Construction of a Performance Histogram - Part B - 4m 18s - 4.11 MB
- 12. Construction and Use of a Standard Normal Curve - 4m 02s - 3.81 MB
- 13. Using the DPMO Metric and Sigma Scale of Measure - 10m 01s - 8.90 MB
Supporting Media
Process Capability - Identify the primary indices of process capability
Instruction Videos
- 1. Understanding the Use of Process Capability Ratios - 9m 01s - 8.54 MB
- 2. Process Capability and the Sigma Scale of Measure - 10m 22s - 9.83 MB
- 3. Using Histograms to Study Process Capability - Part A - 4m 23s - 4.15 MB
- 4. Using Histograms to Study Process Capability - Part B - 4m 29s - 4.22 MB
- 5. Process Capability and the Normal Distribution - 3m 24s - 3.20 MB
- 6. Influence of Process Shifts and Drifts on Capability - 4m 26s - 4.18 MB
Expansion Videos
- 7. Understanding the Components of Process Capability - 0m 48s - 0.32 MB
- 8. Connecting Basic Probability to Indices of Capability - 8m 46s - 7.70 MB
Application Videos
- 9. Calculation of Probabilities Based on Defect Rates - 8m 15s - 8.62 MB
- 10. Analyzing and Reporting Process Capability - 4m 48s - 4.85 MB
- 11. Understanding the General Idea of Signal and Noise - 4m 18s - 2.42 MB
- 12. DPMO Calculations for Various Centering Conditions - 5m 30s - 7.69 MB
- 13. Visualizing the Connection of Probability and Capability - 2m 04s - 1.98 MB
- 14. Understanding the Nature of Escaping Defects - 6m 50s - 5.26 MB
- 15. Process Capability Reporting and the Case of Zero Defects - 4m 29s - 3.35 MB
Supporting Media
Design Complexity - Describe the impact of complexity on product and service quality
Instruction Videos
- 1. Basic Concepts of Product and Process Complexity - 1m 51s - 1.77 MB
- 2. Unmasking Product and Process Complexity - 3m 57s - 3.75 MB
- 3. Recognizing the Influence of Complexity on Yield - 5m 05s - 4.81 MB
- 4. Recognizing the Influence of Complexity on Capability - 12m 50s - 12.16 MB
Expansion Videos
Application Videos
- 6. Analysis of Complexity on Capability and DPU - 6m 43s - 5.20 MB
- 7. Interaction of Capability and Complexity - Part A - 6m 45s - 4.79 MB
- 8. Interaction of Capability and Complexity - Part B - 2m 30s - 1.89 MB
- 9. Interaction of Capability and Complexity - Part C - 3m 31s - 3.15 MB
- 10. Interaction of Capability and Complexity - Part D - 6m 16s - 6.97 MB
- 11. Interaction of Capability and Complexity - Part E - 4m 40s - 4.00 MB
- 12. Interaction of Capability and Complexity - Part F - 3m 10s - 3.30 MB
- 13. Interaction of Capability and Complexity - Part G - 7m 59s - 8.83 MB
- 14. Interaction of Capability and Complexity - Part H - 10m 12s - 10.05 MB
Supporting Media
Variable Classifications - Define the various types of variables commonly encountered during quality improvement
Instruction Videos
- 1. Defining the Main Categories of Performance Variables - 1m 42s - 1.63 MB
- 2. Performance Variables and the Pareto Effect - 1m 57s - 1.86 MB
- 3. Linkage between Variables and Process Capability - 4m 53s - 4.62 MB
Supporting Media
Measurement Scales - Describe each of the four primary scales of measure and their relative power
Instruction Videos
- 1. Nature of Continuous and Discrete Variables - Part A - 4m 04s - 3.85 MB
- 2. Nature of Continuous and Discrete Variables - Part B - 4m 03s - 4.23 MB
- 3. Four Primary Scales of Measure and Definitions - Part A - 3m 55s - 3.46 MB
- 4. Four Primary Scales of Measure and Definitions - Part B - 3m 53s - 3.66 MB
Expansion Videos
Application Videos
- 6. Transformation of Measurement Scales - Part A - 5m 08s - 4.76 MB
- 7. Transformation of Measurement Scales - Part B - 4m 43s - 4.92 MB
- 8. Sensitivity of Continuous and Discrete Scales - 5m 36s - 7.16 MB
- 9. Transformation of Discrete Measurement Scales - 2m 48s - 3.16 MB
- 10. Impact of Measurement Scales on Process Capability - 3m 12s - 2.09 MB
- 11. Identification and Selection of Defect Categories - 2m 13s - 1.27 MB
- 12. Comparative Analysis of Continuous and Discrete Data - 6m 28s - 5.95 MB
Supporting Media
Problem Definition - Characterize the nature of a sound problem statement
Instruction Videos
- 1. Nature and Definition of a Practical Problem - 1m 32s - 1.48 MB
- 2. Documentation of a Process Capability Problem - 4m 12s - 3.96 MB
- 3. Understanding Process Accuracy and Precision - Part A - 2m 27s - 2.35 MB
- 4. Understanding Process Accuracy and Precision - Part B - 2m 46s - 2.65 MB
- 5. Implications of a Process Capability Problem - 2m 57s - 2.81 MB
- 6. Bridging Practical Problems and Statistical Problems - 3m 51s - 3.64 MB
- 7. Common Mistakes in Basic Problem Solving - 3m 36s - 3.44 MB
Expansion Videos
- 8. Developing the Definition of a Problem - Part A - 3m 23s - 3.76 MB
- 9. Developing the Definition of a Problem - Part B - 5m 30s - 3.37 MB
- 10. Essential Criteria for Effective Problem Solving - 5m 11s - 2.31 MB
Supporting Media
Focused Brainstorming - Explain how focused brainstorming is used to facilitate improvement efforts
Instruction Videos
Expansion Videos
- 2. Key Phases of Effective Brainstorming - Part A - 3m 01s - 1.39 MB
- 3. Key Phases of Effective Brainstorming - Part B - 3m 57s - 2.84 MB
Supporting Media
Matrix Analysis - Understand how matrices are created and used to facilitate problem solving
Instruction Videos
- 1. Nature and Purpose of Matrix Analysis - 4m 47s - 4.52 MB
- 2. Use of RxC Matrices for Decision Making - 2m 11s - 2.08 MB
Application Videos
- 3. Simulation of a General Matrix Analysis - Part A - 3m 31s - 3.79 MB
- 4. Simulation of a General Matrix Analysis - Part B - 6m 27s - 6.92 MB
Supporting Media
C&E Analysis - Explain how C&E matrices can be used to solve quality problems
Instruction Videos
- 1. Understanding the Nature and Purpose of C&E Analysis - 2m 57s - 2.82 MB
- 2. Pragmatic Application of a C&E Matrix - 3m 05s - 2.94 MB
Supporting Media
Performance Sampling - Explain how to design and implement a sampling plan
Instruction Videos
- 1. Nature and Purpose of a Performance Sampling - 1m 48s - 1.72 MB
- 2. Underlying Principles of Random Sampling - 2m 23s - 2.28 MB
- 3. Underlying Principles of Stratified Sampling - 3m 39s - 3.45 MB
- 4. Basic Nature and Use of Sequential Sampling - 2m 17s - 2.19 MB
Expansion Videos
Application Videos
Supporting Media
Check Sheets - Understand how check sheets can be used for purposes of data collection
Instruction Videos
- 1. Nature and Purpose of Check Sheets - 3m 05s - 2.94 MB
- 2. Use of Check Sheets to Facilitate Data Collection - 3m 35s - 3.38 MB
Expansion Videos
Application Videos
Supporting Media
Analytical Charts - Identify the general range of analytical charts that can be used to assess performance
Instruction Videos
Application Videos
- 2. Fundamental Purpose and Use of Bar Charts - 4m 45s - 5.70 MB
- 3. Fundamental Purpose and Use of Pie Charts - 3m 18s - 2.86 MB
- 4. Illustration of Common Graphing Techniques - 5m 17s - 6.45 MB
Supporting Media
Pareto Charts - Explain how Pareto charts can be used to isolate improvement leverage
Instruction Videos
Application Videos
- 2. Creation and Use of a Pareto Chart - Part A - 6m 00s - 7.71 MB
- 3. Creation and Use of a Pareto Chart - Part B - 6m 36s - 5.57 MB
- 4. Advanced Application of Pareto Analysis - 5m 16s - 5.43 MB
Supporting Media
Run Charts - Utilize run charts to assess and characterize time-based process data
Instruction Videos
Application Videos
- 2. Creation and Use of a Run Chart - 4m 34s - 4.61 MB
- 3. Creation and Use of a Time Series Plot - 3m 34s - 3.03 MB
Supporting Media
Correlation Charts - Utilize a correlation chart to illustrate the association between two variables
Instruction Videos
- 1. Nature and Purpose of Correlation Charts - 4m 49s - 4.55 MB
- 2. Use of Scatter Plots for Predicting Performance - 3m 57s - 3.72 MB
- 3. Understanding Nonlinear Variable Relationships - 2m 59s - 2.84 MB
Application Videos
- 4. Construction and Use of a Scatter Plot - Part A - 5m 35s - 4.59 MB
- 5. Construction and Use of a Scatter Plot - Part B - 5m 35s - 4.14 MB
- 6. Using Conditional Distributions in Forecasting Work - 5m 56s - 5.64 MB
- 7. Creation and Interpretation of a Fitted Line Plot - 3m 26s - 4.24 MB
- 8. Illustrated Nature and Meaning of Inverse Correlation - 1m 39s - 1.65 MB
- 9. Use and Interpretation of Marginal Distribution Plots - 4m 07s - 3.05 MB
- 10. Use and Interpretation of 3D Scatter Plots - 5m 12s - 4.96 MB
- 11. Use and Interpretation of Stratified Scatter Plots - 4m 48s - 3.94 MB
- 12. Use and Interpretation of a Matrix Plot - 5m 05s - 4.17 MB
- 13. Basic Concept of a Fitted-Line Regression Plot - 3m 08s - 1.34 MB
- 14. Advanced Application and Use of Scatter Plots - 5m 08s - 5.15 MB
Supporting Media
Frequency Tables - Explain how to construct and interpret a frequency table
Instruction Videos
Application Videos
- 2. Creation and Interpretation of a Frequency Table - 5m 34s - 7.04 MB
- 3. Extended Application of Frequency Tables - Part A - 3m 34s - 4.04 MB
- 4. Extended Application of Frequency Tables - Part B - 1m 47s - 2.11 MB
Supporting Media
Performance Histograms - Construct and interpret a histogram and describe several purposes
Instruction Videos
- 1. Nature and Purpose of a Histogram - 5m 23s - 5.10 MB
- 2. Inclusion of Specification Limits on Histograms - 4m 36s - 4.35 MB
- 3. Use of Histograms in Process Capability Work - 2m 34s - 2.45 MB
- 4. Use of Histograms with Scatter Plots - 2m 52s - 2.73 MB
- 5. Use of Histograms with Experimental Design - 2m 28s - 2.36 MB
- 6. Use of Histograms for Characterizing Distributions - 5m 08s - 4.87 MB
Expansion Videos
Application Videos
- 8. Construction and Interpretation of a Histogram - 6m 09s - 6.91 MB
- 9. Simulation and Interpretation of a Histogram - 6m 27s - 5.49 MB
- 10. Construction and Use of a Probability Plot - 6m 22s - 5.98 MB
- 11. Use of Histograms with Autocorrelation - 6m 48s - 8.66 MB
- 12. Use of Histograms with Common Probability Plots - 9m 26s - 9.26 MB
- 13. Use of Histograms to Support Basic Statistics - 3m 27s - 3.26 MB
- 14. Use of Histograms to Support Six Sigma Work - 4m 41s - 4.48 MB
- 15. Use of Histograms to Support Data Transformations - 5m 13s - 6.16 MB
Supporting Media
Basic Probability - Understand basic probability theory and how it relates to process improvement
Instruction Videos
- 1. Basic Understanding and Principles of Probability - 6m 30s - 6.14 MB
- 2. Linking Performance Yield to Basic Probability - 5m 33s - 5.25 MB
- 3. Connecting Probability Theory to a Pair of Dice - 5m 44s - 5.41 MB
- 4. Associating Basic Probability and Histograms - 6m 14s - 5.90 MB
Expansion Videos
Supporting Media
Search Patterns - Explain how the use of designed experiments can facilitate problem solving
Instruction Videos
- 1. Nature and Purpose of Search Patterns - 8m 06s - 7.68 MB
- 2. Manipulating Variables to Discover Patterns - 6m 23s - 6.03 MB
- 3. Explaining the Logic of Performance Optimization - 6m 55s - 6.55 MB
Application Videos
- 4. Simulation of an Optimization Search Pattern - 5m 51s - 4.33 MB
- 5. Illustration of an Experimental Search Pattern - 4m 58s - 5.20 MB
Supporting Media
Concept Integration - Understand how to sequence a given selection of quality tools to better solve problems
Instruction Videos
- 1. Integrated Application of Basic Quality Tools - Part A - 7m 19s - 6.93 MB
- 2. Integrated Application of Basic Quality Tools - Part B - 5m 20s - 5.04 MB
- 3. Integrated Application of Basic Quality Tools - Part C - 4m 17s - 4.04 MB
- 4. Integrated Application of Basic Quality Tools - Part D - 4m 22s - 4.14 MB
Expansion Videos
Application Videos
- 6. Practical Application of Quality Tools - Part A - 7m 44s - 7.02 MB
- 7. Practical Application of Quality Tools - Part B - 6m 52s - 6.97 MB
- 8. Practical Application of Quality Tools - Part C - 5m 14s - 5.43 MB
- 9. Practical Application of Quality Tools - Part D - 3m 06s - 2.67 MB
- 10. Practical Application of Quality Tools - Part E - 4m 19s - 3.17 MB
- 11. Practical Application of Quality Tools - Part F - 5m 17s - 4.95 MB
- 12. Practical Application of Quality Tools - Part G - 3m 41s - 4.16 MB
Supporting Media
Quality Simulation - Employ the related quality tools to analyze data generated by the process simulator
Application Videos
- 1. Simulated Example and Use of Quality Tools - Part A - 3m 08s - 4.29 MB
- 2. Simulated Example and Use of Quality Tools - Part B - 2m 08s - 2.27 MB
- 3. Simulated Example and Use of Quality Tools - Part C - 3m 05s - 3.10 MB
- 4. Simulated Example and Use of Quality Tools - Part D - 6m 23s - 6.30 MB
- 5. Simulated Example and Use of Quality Tools - Part E - 3m 28s - 3.44 MB
Basic StatisticsPerformance Variables - Identify and describe the types of variables typically encountered in field work
Instruction Videos
- 1. Key Types of Six Sigma Performance Variables - 6m 50s - 6.47 MB
- 2. Relationship between Performance Variables and Data - 3m 36s - 3.40 MB
Supporting Media
Statistical Notation - Recognize and interpret the conventional forms of statistical notation
Instruction Videos
- 1. Nature and Purpose of Statistical Notation - 3m 45s - 3.56 MB
- 2. Summation and the Related Statistical Notation - 3m 44s - 3.51 MB
- 3. Multiplication and the Related Statistical Notation - 3m 48s - 3.57 MB
- 4. Use and Application of Double Summation - 7m 35s - 7.17 MB
- 5. Meaning and Use of Sub-Script Notation - 4m 15s - 4.02 MB
- 6. Common Types of Notation Used in Statistical Work - 7m 58s - 7.55 MB
Application Videos
- 7. Spreadsheet Method for Simple Addition - Part A - 3m 25s - 4.40 MB
- 8. Spreadsheet Method for Simple Addition - Part B - 4m 55s - 5.50 MB
- 9. Spreadsheet Method for Simple Multiplication - 3m 10s - 3.94 MB
- 10. Spreadsheet Method for Double Summation - 2m 18s - 2.73 MB
Supporting Media
Performance Variation - Explain the basic nature of variation and how it can adversely impact quality
Instruction Videos
- 1. Understanding the Nature and Character of Variation - 7m 13s - 6.85 MB
- 2. Describing a Deviation in Performance Expectation - 3m 20s - 3.15 MB
- 3. Grasping the Implications of Common Variation - Part A - 5m 03s - 2.62 MB
- 4. Grasping the Implications of Common Variation - Part B - 6m 48s - 6.44 MB
Supporting Media
Normal Distribution - Describe the features and properties that are characteristic of a normal distribution
Instruction Videos
- 1. Characterization and Use of a Normal Distribution - 6m 47s - 6.42 MB
- 2. Understanding the Nature and Purpose of Exact Limits - 4m 10s - 3.93 MB
- 3. Nature and Use of Scaled Intervals - Part A - 4m 42s - 4.43 MB
- 4. Nature and Use of Scaled Intervals - Part B - 3m 22s - 3.16 MB
- 5. Connecting Sample Size and Interval Width - 3m 50s - 3.62 MB
- 6. Exploring the Equation for a Normal Distribution - 8m 49s - 8.38 MB
- 7. Links between a Frequency Table and Bell Curve - 5m 26s - 5.14 MB
Expansion Videos
Application Videos
- 9. Statistical Fit of Empirical Data to a Bell Curve - 5m 38s - 7.52 MB
- 10. Simulation and Interpretation of a Z Distribution - 4m 12s - 3.32 MB
Supporting Media
Distribution Analysis - Explain how to test the assumption that a set of data is normally distributed
Instruction Videos
- 1. Nature and Purpose of Distribution Analysis - 3m 08s - 3.01 MB
- 2. Probability Plot Associated with a Normal Distribution - 7m 39s - 7.24 MB
Application Videos
- 3. Construction and Interpretation of a Probability Plot - 3m 40s - 3.59 MB
- 4. Fit of Performance Data to Selected Distributions - 3m 46s - 3.62 MB
- 5. Addition and Analysis of Two Normal Distributions - 4m 52s - 5.48 MB
- 6. Multiplication and Analysis of Two Normal Distributions - 3m 57s - 4.85 MB
- 7. Using Chi-Square for Distribution Analysis - Part A - 7m 37s - 9.39 MB
- 8. Using Chi-Square for Distribution Analysis - Part B - 6m 54s - 9.64 MB
- 9. Reconciliation of Applied Statistics and Basic Graphs - 3m 32s - 2.16 MB
- 10. Use of Transformations to Improve Distribution Fit - 4m 26s - 3.87 MB
- 11. Purpose and Use of a Standard Box plot - 4m 47s - 5.26 MB
- 12. Interpretation and Analysis of a Standard Box plot - 5m 35s - 4.18 MB
- 13. Standard Box plots and Non-Normal Data - 3m 44s - 2.59 MB
- 14. Effective Transformation of Cycle Time Data - 6m 48s - 6.75 MB
- 15. Calculation and Use of Quadratic Transformations - 4m 38s - 5.11 MB
- 16. General Types of Common Data Transformations - 6m 03s - 6.22 MB
Supporting Media
Location Indices - Identify, compute, and interpret the mean, median, and mode
Instruction Videos
- 1. Three Primary Indices of Central Location - 4m 13s - 3.99 MB
- 2. Computation of a Simple Mean and Mode - 2m 39s - 2.53 MB
- 3. Computation and Interpretation of a Median - 5m 34s - 5.26 MB
- 4. Distribution of Sampling Averages and Implications - 5m 17s - 4.99 MB
Expansion Videos
- 5. Links between Sample Size and Spread - Part A - 5m 01s - 4.68 MB
- 6. Links between Sample Size and Spread - Part B - 5m 50s - 3.18 MB
Application Videos
- 7. Calculation and Interpretation of Location Indices - Part A - 6m 25s - 9.11 MB
- 8. Calculation and Interpretation of Location Indices - Part B - 4m 49s - 5.93 MB
- 9. Calculation and Interpretation of Location Indices - Part C - 2m 17s - 3.05 MB
Supporting Media
Dispersion Indices - Identify, compute, and interpret the range, variance, and standard deviation
Instruction Videos
- 1. Understanding the Basic Idea of Data Dispersion - 3m 54s - 3.68 MB
- 2. Exploring an Example Set of Raw Deviations - 3m 50s - 3.63 MB
- 3. Examining the Nature and Use of a Mean Deviation - 6m 10s - 5.84 MB
- 4. Examining the Nature and Use of a Quadratic Deviation - 9m 06s - 8.65 MB
- 5. Understanding and Interrogating the Sum-of-Squares (SS) - 5m 25s - 5.13 MB
- 6. Using the Variance to Assess Dispersion - 4m 23s - 4.14 MB
- 7. Using the Standard Deviation to Assess Dispersion - 6m 36s - 6.24 MB
- 8. Geometric Visualization of a Standard Deviation - 3m 58s - 3.75 MB
- 9. Geometric Visualization of a Variance - 9m 36s - 9.11 MB
Application Videos
- 10. Hand Calculation of a Standard Deviation - Part A - 5m 39s - 7.43 MB
- 11. Hand Calculation of a Standard Deviation - Part B - 3m 54s - 4.79 MB
- 12. Hand Calculation of a Standard Deviation - Part C - 4m 32s - 6.00 MB
- 13. Calculation and Use of a Simple Range - 2m 31s - 2.97 MB
- 14. Range Method for Calculating the Standard Deviation - 7m 03s - 9.47 MB
Supporting Media
Quadratic Deviations - Understand the nature of a quadratic deviation and its basic purpose
Instruction Videos
Application Videos
- 2. Behavior and Influence of Quadratic Deviations - 4m 35s - 3.76 MB
- 3. Graphical Visualization of Quadratic Deviations - Part A - 4m 38s - 5.95 MB
- 4. Graphical Visualization of Quadratic Deviations - Part B - 8m 13s - 10.56 MB
Supporting Media
Variation Coefficient - Compute and interpret the coefficient of variation
Instruction Videos
Application Videos
Supporting Media
Deviation Freedom - Explain the concept of degrees-of-freedom and how it is used in statistical work
Instruction Videos
- 1. Describing Degrees-of-Freedom and Key Insights - 5m 41s - 5.38 MB
- 2. Establishing and Interpreting Degrees-of-Freedom (DF) - 5m 01s - 4.75 MB
- 3. Links between Degrees-of-Freedom and Statistics - 2m 39s - 2.53 MB
Application Videos
- 4. Spreadsheet Calculation for Degrees-of-Freedom (DF) - 6m 01s - 7.60 MB
- 5. Defining the Degrees-of-Freedom for a Simple Matrix - 5m 31s - 6.36 MB
- 6. Degrees-of-Freedom in the Context of Sub grouping - 4m 54s - 6.76 MB
Supporting Media
Standard Transform - Describe how to transform a set of raw data into standard normal deviates
Instruction Videos
Application Videos
- 2. Calculation of the Standard Normal Deviate (Z) - 5m 22s - 7.22 MB
- 3. Linkage between Z Values and Histograms - Part A - 5m 39s - 7.19 MB
- 4. Linkage between Z Values and Histograms - Part B - 6m 50s - 8.63 MB
- 5. Linkage between Z Values and Histograms - Part C - 9m 10s - 9.14 MB
- 6. Connection between Z Values and Performance Specifications - 8m 12s - 11.12 MB
- 7. Uses and Implications of an Equivalent Z Value (Z.EQ) - 4m 10s - 5.26 MB
Supporting Media
Standard Z-Probability - Describe how to convert a standard normal deviate into its corresponding probability
Instruction Videos
Expansion Videos
Application Videos
- 3. Creation of a Standard Normal Probability Table - 6m 31s - 9.20 MB
- 4. Spreadsheet Calculation of Standard Z Probabilities - 7m 53s - 10.99 MB
- 5. Spreadsheet Calculation of Defect Probabilities - Part A - 7m 12s - 10.13 MB
- 6. Spreadsheet Calculation of Defect Probabilities - Part B - 3m 40s - 4.35 MB
Supporting Media
Central Limit - Understand that the distribution of sampling averages follows a normal distribution
Instruction Videos
Application Videos
- 2. Demonstrating the Central Limit Theorem - Part A - 7m 59s - 7.91 MB
- 3. Demonstrating the Central Limit Theorem - Part B - 4m 13s - 4.09 MB
Supporting Media
Standard Error - Recognize that the dispersion of sampling averages is described by the standard error
Instruction Videos
- 1. Nature and Composition of the Standard Error - 6m 46s - 6.41 MB
- 2. Standard Errors and the Normal Distribution - 2m 52s - 2.73 MB
- 3. Applications and Uses of the Standard Error - 3m 54s - 3.69 MB
Supporting Media
Student's Distribution - Understand that the T distribution applies when sampling is less than infinite
Instruction Videos
Supporting Media
Standard T-Probability - Describe how to convert a T value into its corresponding probability
Instruction Videos
Application Videos
- 2. Spreadsheet Setup and Calculation of T-Probabilities - 5m 23s - 6.23 MB
- 3. Impact of Degrees-of-Freedom on T-Values and Probability - 5m 50s - 6.44 MB
Supporting Media
Statistics Simulation - Employ basic statistics to analyze data generated by the process simulator
Application Videos
Hypothesis TestingStatistical Inferences - Explain the concept of a statistical inference and its primary benefits
Instruction Videos
Expansion Videos
Application Videos
- 3. Analytical Perspective of Statistical Inferences - Part A - 6m 55s - 9.72 MB
- 4. Analytical Perspective of Statistical inferences - Part B - 5m 43s - 7.21 MB
Supporting Media
Statistical Questions - Explain the nature and purpose of a statistical question
Instruction Videos
- 1. Nature and Purpose of Statistical Questions - Part A - 4m 39s - 4.38 MB
- 2. Nature and Purpose of Statistical Questions - Part B - 2m 21s - 2.24 MB
Application Videos
- 3. Formulation of Statistical Questions - Part A - 5m 58s - 8.02 MB
- 4. Formulation of Statistical Questions - Part B - 2m 51s - 3.66 MB
- 5. Formulation of Statistical Questions - Part C - 4m 46s - 4.92 MB
Supporting Media
Statistical Problems - Understand why practical problems must be translated into statistical problems
Instruction Videos
- 1. Nature and Implications of Statistical Problems - Part A - 5m 32s - 5.24 MB
- 2. Nature and Implications of Statistical Problems - Part B - 5m 11s - 4.92 MB
Supporting Media
Null Hypotheses - Define the nature and role of null hypotheses when making process improvements
Instruction Videos
- 1. Nature and Purpose of a Null Hypothesis - Part A - 8m 18s - 7.86 MB
- 2. Nature and Purpose of a Null Hypothesis - Part B - 6m 22s - 6.02 MB
- 3. Null Hypotheses and the Distribution of Chance - Part A - 3m 45s - 3.54 MB
- 4. Null Hypotheses and the Distribution of Chance - Part B - 4m 11s - 3.95 MB
Application Videos
- 5. Null Hypotheses and Random Chance Error - Part A - 4m 30s - 6.11 MB
- 6. Null Hypotheses and Random Chance Error - Part B - 4m 23s - 3.52 MB
Supporting Media
Alternate Hypotheses - Define the nature and role of alternate hypotheses when making process improvements
Instruction Videos
- 1. Nature and Aim of the Alternate Hypothesis - Part A - 7m 34s - 7.17 MB
- 2. Nature and Aim of the Alternate Hypothesis - Part B - 5m 41s - 5.38 MB
Application Videos
Supporting Media
Statistical Significance - Explain the concept of statistical significance versus practical significance
Instruction Videos
- 1. Meaning and Implication of Statistical Significance - 6m 58s - 6.59 MB
- 2. Alternate Hypotheses and Statistical Significance - 9m 03s - 8.57 MB
- 3. Illustration and Explanation of Statistical Significance - 6m 03s - 5.73 MB
- 4. Statistical Significance and the Standard Error - Part A - 3m 56s - 3.71 MB
- 5. Statistical Significance and the Standard Error - Part B - 8m 31s - 8.07 MB
Application Videos
- 6. Dynamic Simulation of Statistical Significance - Part A - 4m 03s - 3.73 MB
- 7. Dynamic Simulation of Statistical Significance - Part B - 6m 53s - 7.13 MB
- 8. Dynamic Simulation of Statistical Significance - Part C - 5m 03s - 5.31 MB
- 9. Dynamic Simulation of Statistical Significance - Part D - 5m 35s - 4.50 MB
Supporting Media
Alpha Risk - Explain the concept of alpha risk in terms of the alternate hypothesis
Instruction Videos
Expansion Videos
Application Videos
- 3. Links between the Sample Mean and Alpha Risk - 8m 07s - 9.87 MB
- 4. Links between the Sample Variance and Alpha Risk - 4m 26s - 5.83 MB
Supporting Media
Beta Risk - Define the meaning of beta risk and how it relates to test sensitivity
Instruction Videos
- 1. Central Meaning and Implication of Beta Risk - Part A - 4m 46s - 4.84 MB
- 2. Central Meaning and Implication of Beta Risk - Part B - 6m 01s - 6.10 MB
- 3. Connecting Beta Risk to the Power of Test - 7m 02s - 7.14 MB
Expansion Videos
Application Videos
- 5. Links between a Sample Mean and Beta Risk - 6m 45s - 7.21 MB
- 6. Links between a Sample Variance and Beta Risk - 7m 47s - 10.46 MB
Supporting Media
Criterion Differences - Explain the role of a criterion difference when testing hypotheses
Instruction Videos
Application Videos
Supporting Media
Decision Scenarios - Develop a scenario that exemplifies the use of hypothesis testing
Instruction Videos
- 1. Types of Decision Errors and the Truth Table - 4m 18s - 4.35 MB
- 2. Truth Tables Applied to Statistical Hypotheses - 7m 06s - 7.23 MB
Expansion Videos
- 3. Application of Statistical Decision Making - Part A - 1m 58s - 1.34 MB
- 4. Application of Statistical Decision Making - Part B - 3m 47s - 7.82 MB
Supporting Media
Sample Size - Define the statistical elements that must be considered when computing sample size
Instruction Videos
- 1. Nature and Implications of Sample Size - Part A - 3m 50s - 3.89 MB
- 2. Nature and Implications of Sample Size - Part B - 3m 58s - 4.06 MB
- 3. Determination of Sample Size for Experiments - Part A - 7m 00s - 7.12 MB
- 4. Determination of Sample Size for Experiments - Part B - 8m 13s - 8.35 MB
- 5. Key Considerations for Computing Sample Size - 9m 41s - 9.85 MB
- 6. Calculation of an Appropriate Sample Size - Part A - 5m 14s - 5.32 MB
- 7. Calculation of an Appropriate Sample Size - Part B - 3m 15s - 3.32 MB
- 8. Calculation of an Appropriate Sample Size - Part C - 5m 26s - 5.51 MB
- 9. Calculation of an Appropriate Sample Size - Part D - 7m 42s - 7.85 MB
- 10. Calculation of an Appropriate Sample Size - Part E - 6m 12s - 6.29 MB
- 11. Relationship between Six Sigma and Sample Size - 9m 29s - 9.64 MB
- 12. Role of Sample Size in Hypothesis Testing - Part A - 5m 46s - 5.85 MB
- 13. Role of Sample Size in Hypothesis Testing - Part B - 7m 41s - 7.81 MB
Application Videos
- 14. Example Calculation of Sample Size - Part A - 6m 34s - 3.04 MB
- 15. Example Calculation of Sample Size - Part B - 3m 38s - 1.84 MB
- 16. Calculation of Sample Size for Discrete Data - Part A - 3m 57s - 4.10 MB
- 17. Calculation of Sample Size for Discrete Data - Part B - 2m 49s - 2.81 MB
- 18. Power of a Test and Random Sampling - Part A - 4m 48s - 4.35 MB
- 19. Power of a Test and Random Sampling - Part B - 1m 41s - 1.90 MB
- 20. Power of a Test and Random Sampling - Part C - 3m 03s - 3.59 MB
Supporting Media
Confidence IntervalsMean Distribution - Comprehend and characterize the distribution of sampling averages
Instruction Videos
Supporting Media
Mean Interval - Compute and interpret the confidence interval of a mean
Instruction Videos
- 1. Establishing Confidence Intervals for the Mean - Part A - 4m 51s - 4.58 MB
- 2. Establishing Confidence Intervals for the Mean - Part B - 8m 50s - 8.38 MB
- 3. Establishing Confidence Intervals for the Mean - Part C - 3m 22s - 3.21 MB
- 4. Establishing Confidence Intervals for the Mean - Part D - 6m 25s - 6.06 MB
- 5. Interpretation of a Mean Confidence Interval - Part A - 7m 06s - 6.72 MB
- 6. Interpretation of a Mean Confidence Interval - Part B - 3m 25s - 3.23 MB
Application Videos
- 7. Dynamic Simulation of a Mean Confidence Interval - 7m 40s - 9.46 MB
- 8. Utilization of a Mean Confidence Interval - Part A - 4m 25s - 3.08 MB
- 9. Utilization of a Mean Confidence Interval - Part B - 4m 40s - 3.89 MB
- 10. Utilization of a Mean Confidence Interval - Part C - 3m 45s - 2.68 MB
Supporting Media
Variance Distribution - Comprehend and characterize the distribution of sampling variances
Instruction Videos
- 1. Exploring the Distribution of Sampling Variances - Part A - 2m 43s - 2.60 MB
- 2. Exploring the Distribution of Sampling Variances - Part B - 7m 59s - 7.58 MB
- 3. Exploring the Distribution of Sampling Variances - Part C - 2m 38s - 2.52 MB
Application Videos
Supporting Media
Variance Interval - Compute and interpret the confidence interval of a variance
Instruction Videos
- 1. Establishing Confidence Intervals for the Variance - Part A - 5m 32s - 5.24 MB
- 2. Establishing Confidence Intervals for the Variance - Part B - 7m 15s - 6.87 MB
- 3. Establishing Confidence Intervals for the Variance - Part C - 6m 01s - 5.68 MB
Application Videos
- 4. Simulation of a Variance Confidence Interval - Part A - 5m 06s - 6.57 MB
- 5. Simulation of a Variance Confidence Interval - Part B - 6m 17s - 8.02 MB
- 6. Statistical Comparison of Variance Confidence Intervals - 5m 41s - 3.50 MB
Supporting Media
Proportion Distribution - Comprehend and characterize the distribution of sampling proportions
Instruction Videos
Supporting Media
Proportion Interval - Compute and interpret the confidence interval of a proportion
Instruction Videos
- 1. Establishing Confidence Intervals for a Proportion - Part A - 7m 42s - 7.30 MB
- 2. Establishing Confidence Intervals for a Proportion - Part B - 6m 16s - 5.93 MB
Application Videos
- 3. Confidence Interval of Process Yield and Interpretation - 3m 14s - 1.81 MB
- 4. Testing a Proportion Using a Basic Z-Test - Part A - 3m 48s - 3.19 MB
- 5. Testing a Proportion Using a Basic Z-Test - Part B - 2m 38s - 2.28 MB
- 6. Impact of Sample Size on Discrete Confidence Intervals - 3m 24s - 3.51 MB
Supporting Media
Frequency Interval - Describe how frequency of defects is related to confidence intervals
Instruction Videos
- 1. Statistical Confidence Intervals for Frequencies - 6m 52s - 7.00 MB
- 2. Confidence Intervals for Defects-Per-Unit (DPU) - Part A - 4m 56s - 5.00 MB
- 3. Confidence Intervals for Defects-Per-Unit (DPU) - Part B - 5m 13s - 5.31 MB
Supporting Media
Parametric MethodsMean Differences - Determine if two means are statistically different from each other
Instruction Videos
- 1. Statistical Reasoning behind the Test of a Single Mean - 5m 21s - 5.06 MB
- 2. Statistical Tools for Testing a Single Mean - Part A - 6m 07s - 5.79 MB
- 3. Statistical Tools for Testing a Single Mean - Part B - 15m 16s - 12.43 MB
- 4. Two-Group Comparison of Mean Differences - Part A - 8m 28s - 8.01 MB
- 5. Two-Group Comparison of Mean Differences - Part B - 7m 37s - 7.22 MB
- 6. Two-Group Comparison of Mean Differences - Part C - 14m 09s - 12.92 MB
- 7. Two-Group Comparison of Mean Differences - Part D - 6m 19s - 5.99 MB
Expansion Videos
- 8. Simulation of a Typical Two-Group Comparison - Part A - 7m 14s - 3.77 MB
- 9. Simulation of a Typical Two-Group Comparison - Part B - 4m 00s - 2.17 MB
- 10. Simulation of a Typical Two-Group Comparison - Part C - 4m 16s - 2.23 MB
- 11. Simulation of a Typical Two-Group Comparison - Part D - 3m 14s - 1.95 MB
Application Videos
- 12. Calculations for a 2-Sample T-Test - Part A - 5m 09s - 6.41 MB
- 13. Calculations for a 2-Sample T-Test - Part B - 5m 29s - 7.25 MB
- 14. Calculations for a 2-Sample T-Test - Part C - 5m 14s - 5.99 MB
Supporting Media
Variance Differences - Determine if two variances are statistically different from each other
Instruction Videos
- 1. Nature and Purpose of a Two-Group Variance Test - 3m 14s - 3.04 MB
- 2. Execution and Analysis of a 2-Sample F-Test - Part A - 6m 50s - 6.46 MB
- 3. Execution and Analysis of a 2-Sample F-Test - Part B - 5m 52s - 5.54 MB
- 4. Execution and Analysis of a 2-Sample F-Test - Part C - 5m 20s - 5.04 MB
- 5. Execution and Analysis of a 2-Sample F-Test - Part D - 4m 16s - 4.03 MB
Application Videos
- 6. Spreadsheet Calculation of a Simple F-Test - Part A - 3m 08s - 2.22 MB
- 7. Spreadsheet Calculation of a Simple F-Test - Part B - 4m 28s - 5.25 MB
- 8. Spreadsheet Calculation of a Simple F-Test - Part C - 2m 29s - 2.95 MB
- 9. Use of Confidence Intervals for Testing Variances - 3m 57s - 4.10 MB
Supporting Media
Variation Total - Compute and interpret the total sums-of-squares
Instruction Videos
- 1. Compilation and Analysis of the Total Variation - 8m 06s - 7.67 MB
- 2. Essential Concepts Related to the Total Variation - 5m 08s - 4.85 MB
Application Videos
Supporting Media
Variation Within - Compute and interpret the within-group sums-of-squares
Instruction Videos
Application Videos
Supporting Media
Variation Between - Compute and interpret the between-group sums-of-squares
Instruction Videos
Application Videos
Supporting Media
Variation Analysis - Explain how the analysis of variances can reveal mean differences
Instruction Videos
- 1. Purpose and Aims of a Variation Analysis - 9m 59s - 9.45 MB
- 2. Primary Sources of Process Variation - Part A - 10m 11s - 9.65 MB
- 3. Primary Sources of Process Variation - Part B - 5m 30s - 5.20 MB
Application Videos
Supporting Media
One-Way ANOVA - Construct and interpret a one-way analysis-of-variance table
Instruction Videos
- 1. Nature and Purpose of One-Way ANOVA - 13m 43s - 13.02 MB
- 2. Comparison of Multiple Groups using One-Way ANOVA - 5m 09s - 4.87 MB
- 3. One-Way ANOVA Table and Interpretation - Part A - 5m 33s - 5.25 MB
- 4. One-Way ANOVA Table and Interpretation - Part B - 6m 36s - 6.24 MB
- 5. One-Way ANOVA Table and Interpretation - Part C - 10m 30s - 9.94 MB
- 6. Difference between Practical and Statistical Significance - 7m 44s - 7.32 MB
Application Videos
- 7. Execution of the One-Way ANOVA Procedure - Part A - 5m 22s - 5.08 MB
- 8. Execution of the One-Way ANOVA Procedure - Part B - 3m 47s - 4.64 MB
- 9. Understanding Post-Hoc Comparisons and Applications - 5m 41s - 6.63 MB
- 10. Using One-Way ANOVA for Process Characterization - 7m 23s - 7.33 MB
- 11. Case Study for the Application of One-Way ANOVA - 5m 08s - 5.63 MB
Supporting Media
Two-Way ANOVA - Construct and interpret a two-way analysis-of-variance table
Instruction Videos
Application Videos
Supporting Media
N-Way ANOVA - Construct and interpret an N-way analysis-of-variance table
Instruction Videos
Application Videos
Supporting Media
ANOVA Graphs - Construct and interpret a main effects plot as well as an interaction plot
Instruction Videos
- 1. Nature and Interpretation of ANOVA Graphs - 7m 51s - 7.43 MB
- 2. Creation of an ANOVA Main-Effect Plot - Part A - 6m 06s - 5.78 MB
- 3. Creation of an ANOVA Main-Effect Plot - Part B - 5m 05s - 4.81 MB
- 4. Creation of an ANOVA Main-Effect Plot - Part C - 6m 02s - 5.71 MB
Application Videos
- 5. Graphical Interrogation of ANOVA Results - Part A - 5m 33s - 4.40 MB
- 6. Graphical Interrogation of ANOVA Results - Part B - 6m 47s - 5.68 MB
Supporting Media
Linear Regression - Conduct a linear regression and construct an appropriate model
Instruction Videos
- 1. Nature and Purpose of Linear Regression - 11m 25s - 10.84 MB
- 2. Understanding the Key Elements of Linear Regression - 9m 19s - 8.84 MB
- 3. Creation and Use of a Simple Regression Equation - 5m 13s - 4.94 MB
- 4. Links between Regression and Correlation Coefficients - 9m 27s - 8.96 MB
Expansion Videos
- 5. Dynamic Simulation of a Simple Linear Regression - 1m 53s - 1.10 MB
- 6. Common Applications of Simple Linear Regression - 3m 16s - 2.47 MB
- 7. Influence of Sample Size on Linear Regression - 7m 27s - 6.31 MB
Application Videos
- 8. Case Study for the Use of Linear Regression - Part A - 6m 23s - 6.35 MB
- 9. Case Study for the Use of Linear Regression - Part B - 4m 33s - 6.20 MB
- 10. Case Study for the Use of Linear Regression - Part C - 2m 25s - 2.85 MB
- 11. Case Study for the Use of Linear Regression - Part D - 6m 06s - 6.78 MB
- 12. Case Study for the Use of Linear Regression - Part E - 3m 54s - 4.60 MB
- 13. Case Study for the Use of Linear Regression - Part F - 6m 13s - 7.64 MB
Supporting Media
Multiple Regression - Conduct a multiple regression and construct an appropriate model
Instruction Videos
Application Videos
- 2. Case Study for the use of Multiple Regression - Part A - 4m 38s - 6.08 MB
- 3. Case Study for the use of Multiple Regression - Part B - 5m 19s - 7.38 MB
Supporting Media
Residual Analysis - Compute and analyze the residuals resulting from a simple regression
Instruction Videos
- 1. Understanding the Nature of Residuals Analysis - 7m 57s - 7.54 MB
- 2. Graphical Interpretation and Analysis of Residuals - 8m 16s - 7.84 MB
Expansion Videos
Supporting Media
Parametric Simulation - Apply general regression methods to the process simulator
Application Videos
- 1. Process Simulation for Parametric Statistics - Part A - 3m 10s - 3.34 MB
- 2. Process Simulation for Parametric Statistics - Part B - 5m 54s - 6.95 MB
- 3. Process Simulation for Parametric Statistics - Part C - 3m 20s - 3.64 MB
- 4. Process Simulation for Parametric Statistics - Part D - 3m 51s - 4.67 MB
- 5. Process Simulation for Parametric Statistics - Part E - 5m 23s - 6.39 MB
- 6. Process Simulation for Parametric Statistics - Part F - 10m 00s - 6.54 MB
Experimental MethodsDesign Principles - Understand the principles of experiment design and analysis
Instruction Videos
- 1. Nature and Purpose of Statistical Experiment Design - 4m 26s - 4.18 MB
- 2. Basic Idea of Quadratic Loss and Related Implications - 6m 35s - 6.24 MB
- 3. Linking Statistical Hypotheses to Designed Experiments - 7m 26s - 7.03 MB
- 4. Understanding How to Optimize Performance - Part A - 6m 13s - 5.89 MB
- 5. Understanding How to Optimize Performance - Part B - 3m 40s - 3.46 MB
- 6. Understanding How to Optimize Performance - Part C - 4m 14s - 3.99 MB
- 7. Practical Applications of Experiment Design Methods - 4m 27s - 4.20 MB
- 8. General Sequence for Planning and Executing a DOE - 6m 04s - 5.74 MB
Supporting Media
Design Models - Describe the various types of designed experiments and their applications
Instruction Videos
- 1. Primary Types of Experiment Design Models - Part A - 6m 55s - 6.55 MB
- 2. Primary Types of Experiment Design Models - Part B - 6m 23s - 6.03 MB
Supporting Media
Experimental Strategies - Outline a strategy for designing and analyzing a statistical experiment
Instruction Videos
- 1. Process for Executing a Designed Experiment - Part A - 6m 49s - 6.45 MB
- 2. Process for Executing a Designed Experiment - Part B - 10m 16s - 9.73 MB
- 3. Process for Executing a Designed Experiment - Part C - 4m 09s - 3.90 MB
Supporting Media
Experimental Effects - Define the various types of experimental effects and how they impact decisions
Instruction Videos
- 1. Visualization of Common Experimental Effects - Part A - 4m 24s - 4.16 MB
- 2. Visualization of Common Experimental Effects - Part B - 6m 46s - 6.39 MB
- 3. Concept and Implications of Confounding - Part A - 5m 25s - 5.15 MB
- 4. Concept and Implications of Confounding - Part B - 2m 09s - 2.05 MB
- 5. Concept and Implications of Experimental Blocking - 2m 45s - 2.63 MB
- 6. Relationship between Blocking and Randomization - 2m 57s - 2.82 MB
Supporting Media
One-Factor Two Level - Configure and analyze a one-factor two-level statistically based experiment
Instruction Videos
- 1. Nature and Purpose of a One-Factor Experiment - 7m 22s - 6.97 MB
- 2. Main Effects of a Single Factor Experiment - 4m 24s - 4.16 MB
- 3. Linkage of Statistical Tolerancing to DOE - Part A - 7m 14s - 6.85 MB
- 4. Linkage of Statistical Tolerancing to DOE - Part B - 2m 46s - 2.60 MB
- 5. Use of Regression for the Analysis of Experiments - 2m 39s - 2.53 MB
- 6. Treatment and Interpretation of Non-Linear Effects - 5m 35s - 5.30 MB
Application Videos
- 7. One-Way ANOVA Method Applied to DOE - Part A - 3m 30s - 3.56 MB
- 8. One-Way ANOVA Method Applied to DOE - Part B - 5m 05s - 4.87 MB
Supporting Media
One-Factor Multi Level - Configure and analyze a one-factor multi-level statistically based experiment
Instruction Videos
Application Videos
- 2. ANOVA Method for Multi-Level Designs - Part A - 5m 19s - 5.44 MB
- 3. ANOVA Method for Multi-Level Designs - Part B - 1m 25s - 1.63 MB
Supporting Media
Full Factorials - Understand the nature and underlying logic of full factorial experiments
Instruction Videos
- 1. Nature and Character of Full Factorial Experiments - 6m 49s - 6.46 MB
- 2. Full Factorial Design and Basic Experimental Effects - 6m 32s - 6.18 MB
- 3. Features and Benefits of Full Factorial Experiments - 6m 25s - 6.08 MB
Supporting Media
Two-Factor Two Levels - Configure and analyze a two-factor two-level statistically based experiment
Instruction Videos
- 1. Two-Factor Two-Level Experiment Design - Part A - 4m 44s - 4.47 MB
- 2. Two-Factor Two-Level Experiment Design - Part B - 3m 29s - 3.29 MB
- 3. Two-Factor Two-Level Experiment Design - Part C - 2m 54s - 2.75 MB
- 4. Calculation and Display of Key Experimental Effects - 5m 04s - 4.78 MB
- 5. Graphing and Interpretation of Main Effects - 4m 33s - 4.30 MB
- 6. Graphing and Interpretation of Interactions - Part A - 4m 58s - 4.71 MB
- 7. Graphing and Interpretation of Interactions - Part B - 4m 46s - 4.50 MB
- 8. Creation and Structure of a Two-Way ANOVA Table - 8m 22s - 7.94 MB
- 9. Discovering the Path-of-Steepest-Assent - Part A - 8m 13s - 7.78 MB
- 10. Discovering the Path-of-Steepest-Assent - Part B - 5m 43s - 5.41 MB
Expansion Videos
- 11. Use of DOE to Facilitate Team Decision Making - Part A - 3m 26s - 1.39 MB
- 12. Use of DOE to Facilitate Team Decision Making - Part B - 6m 00s - 4.68 MB
- 13. Use of DOE to Facilitate Team Decision Making - Part C - 3m 28s - 1.54 MB
- 14. Use of DOE to Facilitate Team Decision Making - Part D - 5m 04s - 2.88 MB
- 15. Use of DOE to Facilitate Team Decision Making - Part E - 4m 24s - 2.30 MB
- 16. Use of DOE to Facilitate Team Decision Making - Part F - 3m 22s - 2.30 MB
- 17. Use of DOE to Facilitate Team Decision Making - Part G - 6m 01s - 2.99 MB
- 18. Use of DOE to Facilitate Team Decision Making - Part H - 2m 39s - 1.29 MB
Application Videos
- 19. Contrast Method for Conducting an ANOVA - Part A - 9m 33s - 10.82 MB
- 20. Contrast Method for Conducting an ANOVA - Part B - 2m 55s - 3.62 MB
- 21. Generation of a Two-Factor Two-Level Design - Part A - 6m 17s - 6.92 MB
- 22. Generation of a Two-Factor Two-Level Design - Part B - 2m 32s - 2.88 MB
- 23. Analysis of a Replicated Two-Factor Experiment - 7m 48s - 8.90 MB
- 24. Analysis of an Unreplicated Two-Factor Experiment - 5m 31s - 5.42 MB
- 25. Catapult Case Study for a Two-Factor Experiment - 11m 40s - 8.88 MB
Supporting Media
Two-Factor Multi Level - Configure and analyze a two-factor multi-level statistically based experiment
Instruction Videos
Supporting Media
Three-Factor Two Level - Configure and analyze a three-factor two-level statistically based experiment
Instruction Videos
Application Videos
- 2. Design and Analysis of a Three-Factor DOE - Part A - 7m 03s - 7.38 MB
- 3. Design and Analysis of a Three-Factor DOE - Part B - 5m 49s - 5.95 MB
- 4. Design and Analysis of a Three-Factor DOE - Part C - 4m 09s - 5.64 MB
- 5. Creation and Application of an Outer Array - Part A - 3m 40s - 3.68 MB
- 6. Creation and Application of an Outer Array - Part B - 8m 23s - 10.11 MB
- 7. Use of Regression for Analyzing Experiments - Part A - 2m 29s - 2.91 MB
- 8. Use of Regression for Analyzing Experiments - Part B - 4m 33s - 5.88 MB
- 9. Expanding the Factorial Design Matrix - Part A - 1m 47s - 2.14 MB
- 10. Expanding the Factorial Design Matrix - Part B - 7m 56s - 8.38 MB
Supporting Media
Planning Experiments - Understand the planning and implementation considerations related to statistical experiments
Instruction Videos
- 1. Calculation and Implications of Sample Size in a DOE - 9m 47s - 6.46 MB
- 2. Process for Planning Statistical Experiments - Part A - 4m 32s - 4.28 MB
- 3. Process for Planning Statistical Experiments - Part B - 5m 32s - 5.23 MB
- 4. Process for Planning Statistical Experiments - Part C - 4m 32s - 4.29 MB
- 5. Process for Planning Statistical Experiments - Part D - 4m 54s - 4.64 MB
Supporting Media
Fractional Factorials - Understand the nature and underlying logic of fractional factorial experiments
Instruction Videos
- 1. Concept and Aims of Fractional Factorial Experiments - 5m 30s - 5.20 MB
- 2. Logic of the Fractional Factorial Design Matrix - 7m 19s - 6.94 MB
- 3. Three-Factor Fractional Factorial Experiments - Part A - 9m 07s - 8.65 MB
- 4. Three-Factor Fractional Factorial Experiments - Part B - 6m 20s - 6.02 MB
- 5. Concept and Implications of Design Resolution - Part A - 5m 01s - 4.74 MB
- 6. Concept and Implications of Design Resolution - Part B - 4m 10s - 3.94 MB
- 7. Concept and Implications of Design Resolution - Part C - 4m 01s - 3.80 MB
- 8. Concept and Implications of Design Resolution - Part D - 2m 57s - 2.78 MB
- 9. Concept and Implications of Design Resolution - Part E - 4m 40s - 4.40 MB
Application Videos
- 10. Generation of a Fractional Factorial Matrix - Part A - 8m 39s - 10.97 MB
- 11. Generation of a Fractional Factorial Matrix - Part B - 3m 12s - 3.40 MB
- 12. Generation of a Fractional Factorial Matrix - Part C - 2m 34s - 3.18 MB
- 13. Generation of a Fractional Factorial Matrix - Part D - 6m 05s - 7.49 MB
- 14. Execution of a Fractional Factorial Experiment - 7m 11s - 8.68 MB
Supporting Media
Four-Factor Half-Fraction - Configure and analyze a four-factor half-fraction statistically based experiment
Instruction Videos
- 1. Four-Factor Half-Fraction Design Matrix - Part A - 3m 35s - 3.39 MB
- 2. Four-Factor Half-Fraction Design Matrix - Part B - 5m 46s - 5.45 MB
Application Videos
Supporting Media
Five-Factor Half-Fraction - Configure and analyze a five-factor half-fraction statistically based experiment
Instruction Videos
Application Videos
- 2. Execution of Five-Factor Half-Fraction Design - Part A - 5m 05s - 5.42 MB
- 3. Execution of Five-Factor Half-Fraction Design - Part B - 3m 28s - 4.09 MB
- 4. Execution of Five-Factor Half-Fraction Design - Part C - 1m 52s - 2.06 MB
- 5. Catapult Case Study for the Five-Factor Design - Part A - 5m 05s - 7.07 MB
- 6. Catapult Case Study for the Five-Factor Design - Part B - 4m 29s - 2.28 MB
- 7. Catapult Case Study for the Five-Factor Design - Part C - 6m 27s - 4.46 MB
Supporting Media
Screening Designs - Understand how to select, implement, and analyze a screening experiment
Instruction Videos
Application Videos
- 2. Example Execution and Analysis of a Screening Design - Part A - 3m 24s - 3.62 MB
- 3. Example Execution and Analysis of a Screening Design - Part B - 4m 10s - 3.57 MB
Supporting Media
Robust Designs - Explain the purpose of robust design and define several practical usages
Instruction Videos
- 1. Nature and Purpose of Robust Design Methods - Part A - 5m 25s - 5.51 MB
- 2. Nature and Purpose of Robust Design Methods - Part B - 5m 36s - 5.69 MB
- 3. Nature and Purpose of Robust Design Methods - Part C - 2m 06s - 2.16 MB
- 4. Nature and Purpose of Robust Design Methods - Part D - 2m 47s - 2.85 MB
Application Videos
- 5. Execution and Analysis of a Robust Design - Part A - 4m 14s - 3.59 MB
- 6. Execution and Analysis of a Robust Design - Part B - 5m 29s - 4.51 MB
- 7. Execution and Analysis of a Robust Design - Part C - 6m 27s - 5.99 MB
- 8. Execution and Analysis of a Robust Design - Part D - 5m 19s - 3.22 MB
- 9. Execution and Analysis of a Robust Design - Part E - 6m 07s - 4.16 MB
- 10. Execution and Analysis of a Robust Design - Part F - 4m 44s - 5.14 MB
- 11. Execution and Analysis of a Robust Design - Part G - 8m 21s - 5.80 MB
- 12. Execution and Analysis of a Robust Design - Part H - 4m 22s - 4.36 MB
- 13. Execution and Analysis of a Robust Design - Part I - 7m 08s - 6.19 MB
- 14. Execution and Analysis of a Robust Design - Part J - 4m 30s - 3.66 MB
Supporting Media
Experiment Simulation - Describe how a DOE can be employed when measurement data is not available
Application Videos
Measurement AnalysisMeasurement Uncertainty - Understand the concept of measurement uncertainty
Instruction Videos
- 1. Nature and Meaning of Measurement Uncertainty - 5m 23s - 5.10 MB
- 2. Purpose of a Measurement Systems Analysis (MSA) - 7m 06s - 6.73 MB
- 3. Primary Elements of Measurement System - 3m 14s - 3.05 MB
Supporting Media
Measurement Components - Describe the components of measurement error and their consequential impact
Instruction Videos
- 1. Categories of Measurement System Error - 4m 55s - 6.03 MB
- 2. Repeatability and Reproducibility of Measurements - 6m 22s - 4.18 MB
- 3. Additive Nature of Measurement System Errors - 4m 25s - 4.62 MB
Supporting Media
Measurement Studies - Explain how a measurement systems analysis is designed and conducted
Instruction Videos
- 1. Example Analysis of a Measurement System - Part A - 2m 41s - 2.56 MB
- 2. Example Analysis of a Measurement System - Part B - 7m 14s - 6.85 MB
- 3. Example Analysis of a Measurement System - Part C - 5m 36s - 5.31 MB
- 4. Example Analysis of a Measurement System - Part D - 6m 23s - 6.05 MB
- 5. Example Analysis of a Measurement System - Part E - 9m 53s - 9.37 MB
Application Videos
- 6. Case Study for Conducting an MSA Study - Part A - 8m 19s - 8.43 MB
- 7. Case Study for Conducting an MSA Study - Part B - 4m 13s - 5.27 MB
Supporting Media
Performance Variables - Identify and describe the types of variables typically encountered in field work
Instruction Videos
- 1. Key Types of Six Sigma Performance Variables - 6m 50s - 6.47 MB
- 2. Relationship between Performance Variables and Data - 3m 36s - 3.40 MB
Supporting Media
Statistical Notation - Recognize and interpret the conventional forms of statistical notation
Instruction Videos
- 1. Nature and Purpose of Statistical Notation - 3m 45s - 3.56 MB
- 2. Summation and the Related Statistical Notation - 3m 44s - 3.51 MB
- 3. Multiplication and the Related Statistical Notation - 3m 48s - 3.57 MB
- 4. Use and Application of Double Summation - 7m 35s - 7.17 MB
- 5. Meaning and Use of Sub-Script Notation - 4m 15s - 4.02 MB
- 6. Common Types of Notation Used in Statistical Work - 7m 58s - 7.55 MB
Application Videos
- 7. Spreadsheet Method for Simple Addition - Part A - 3m 25s - 4.40 MB
- 8. Spreadsheet Method for Simple Addition - Part B - 4m 55s - 5.50 MB
- 9. Spreadsheet Method for Simple Multiplication - 3m 10s - 3.94 MB
- 10. Spreadsheet Method for Double Summation - 2m 18s - 2.73 MB
Supporting Media
Performance Variation - Explain the basic nature of variation and how it can adversely impact quality
Instruction Videos
- 1. Understanding the Nature and Character of Variation - 7m 13s - 6.85 MB
- 2. Describing a Deviation in Performance Expectation - 3m 20s - 3.15 MB
- 3. Grasping the Implications of Common Variation - Part A - 5m 03s - 2.62 MB
- 4. Grasping the Implications of Common Variation - Part B - 6m 48s - 6.44 MB
Supporting Media
Normal Distribution - Describe the features and properties that are characteristic of a normal distribution
Instruction Videos
- 1. Characterization and Use of a Normal Distribution - 6m 47s - 6.42 MB
- 2. Understanding the Nature and Purpose of Exact Limits - 4m 10s - 3.93 MB
- 3. Nature and Use of Scaled Intervals - Part A - 4m 42s - 4.43 MB
- 4. Nature and Use of Scaled Intervals - Part B - 3m 22s - 3.16 MB
- 5. Connecting Sample Size and Interval Width - 3m 50s - 3.62 MB
- 6. Exploring the Equation for a Normal Distribution - 8m 49s - 8.38 MB
- 7. Links between a Frequency Table and Bell Curve - 5m 26s - 5.14 MB
Expansion Videos
Application Videos
- 9. Statistical Fit of Empirical Data to a Bell Curve - 5m 38s - 7.52 MB
- 10. Simulation and Interpretation of a Z Distribution - 4m 12s - 3.32 MB
Supporting Media
Distribution Analysis - Explain how to test the assumption that a set of data is normally distributed
Instruction Videos
- 1. Nature and Purpose of Distribution Analysis - 3m 08s - 3.01 MB
- 2. Probability Plot Associated with a Normal Distribution - 7m 39s - 7.24 MB
Application Videos
- 3. Construction and Interpretation of a Probability Plot - 3m 40s - 3.59 MB
- 4. Fit of Performance Data to Selected Distributions - 3m 46s - 3.62 MB
- 5. Addition and Analysis of Two Normal Distributions - 4m 52s - 5.48 MB
- 6. Multiplication and Analysis of Two Normal Distributions - 3m 57s - 4.85 MB
- 7. Using Chi-Square for Distribution Analysis - Part A - 7m 37s - 9.39 MB
- 8. Using Chi-Square for Distribution Analysis - Part B - 6m 54s - 9.64 MB
- 9. Reconciliation of Applied Statistics and Basic Graphs - 3m 32s - 2.16 MB
- 10. Use of Transformations to Improve Distribution Fit - 4m 26s - 3.87 MB
- 11. Purpose and Use of a Standard Box plot - 4m 47s - 5.26 MB
- 12. Interpretation and Analysis of a Standard Box plot - 5m 35s - 4.18 MB
- 13. Standard Box plots and Non-Normal Data - 3m 44s - 2.59 MB
- 14. Effective Transformation of Cycle Time Data - 6m 48s - 6.75 MB
- 15. Calculation and Use of Quadratic Transformations - 4m 38s - 5.11 MB
- 16. General Types of Common Data Transformations - 6m 03s - 6.22 MB
Supporting Media
Location Indices - Identify, compute, and interpret the mean, median, and mode
Instruction Videos
- 1. Three Primary Indices of Central Location - 4m 13s - 3.99 MB
- 2. Computation of a Simple Mean and Mode - 2m 39s - 2.53 MB
- 3. Computation and Interpretation of a Median - 5m 34s - 5.26 MB
- 4. Distribution of Sampling Averages and Implications - 5m 17s - 4.99 MB
Expansion Videos
- 5. Links between Sample Size and Spread - Part A - 5m 01s - 4.68 MB
- 6. Links between Sample Size and Spread - Part B - 5m 50s - 3.18 MB
Application Videos
- 7. Calculation and Interpretation of Location Indices - Part A - 6m 25s - 9.11 MB
- 8. Calculation and Interpretation of Location Indices - Part B - 4m 49s - 5.93 MB
- 9. Calculation and Interpretation of Location Indices - Part C - 2m 17s - 3.05 MB
Supporting Media
Dispersion Indices - Identify, compute, and interpret the range, variance, and standard deviation
Instruction Videos
- 1. Understanding the Basic Idea of Data Dispersion - 3m 54s - 3.68 MB
- 2. Exploring an Example Set of Raw Deviations - 3m 50s - 3.63 MB
- 3. Examining the Nature and Use of a Mean Deviation - 6m 10s - 5.84 MB
- 4. Examining the Nature and Use of a Quadratic Deviation - 9m 06s - 8.65 MB
- 5. Understanding and Interrogating the Sum-of-Squares (SS) - 5m 25s - 5.13 MB
- 6. Using the Variance to Assess Dispersion - 4m 23s - 4.14 MB
- 7. Using the Standard Deviation to Assess Dispersion - 6m 36s - 6.24 MB
- 8. Geometric Visualization of a Standard Deviation - 3m 58s - 3.75 MB
- 9. Geometric Visualization of a Variance - 9m 36s - 9.11 MB
Application Videos
- 10. Hand Calculation of a Standard Deviation - Part A - 5m 39s - 7.43 MB
- 11. Hand Calculation of a Standard Deviation - Part B - 3m 54s - 4.79 MB
- 12. Hand Calculation of a Standard Deviation - Part C - 4m 32s - 6.00 MB
- 13. Calculation and Use of a Simple Range - 2m 31s - 2.97 MB
- 14. Range Method for Calculating the Standard Deviation - 7m 03s - 9.47 MB
Supporting Media
Quadratic Deviations - Understand the nature of a quadratic deviation and its basic purpose
Instruction Videos
Application Videos
- 2. Behavior and Influence of Quadratic Deviations - 4m 35s - 3.76 MB
- 3. Graphical Visualization of Quadratic Deviations - Part A - 4m 38s - 5.95 MB
- 4. Graphical Visualization of Quadratic Deviations - Part B - 8m 13s - 10.56 MB
Supporting Media
Variation Coefficient - Compute and interpret the coefficient of variation
Instruction Videos
Application Videos
Supporting Media
Deviation Freedom - Explain the concept of degrees-of-freedom and how it is used in statistical work
Instruction Videos
- 1. Describing Degrees-of-Freedom and Key Insights - 5m 41s - 5.38 MB
- 2. Establishing and Interpreting Degrees-of-Freedom (DF) - 5m 01s - 4.75 MB
- 3. Links between Degrees-of-Freedom and Statistics - 2m 39s - 2.53 MB
Application Videos
- 4. Spreadsheet Calculation for Degrees-of-Freedom (DF) - 6m 01s - 7.60 MB
- 5. Defining the Degrees-of-Freedom for a Simple Matrix - 5m 31s - 6.36 MB
- 6. Degrees-of-Freedom in the Context of Sub grouping - 4m 54s - 6.76 MB
Supporting Media
Standard Transform - Describe how to transform a set of raw data into standard normal deviates
Instruction Videos
Application Videos
- 2. Calculation of the Standard Normal Deviate (Z) - 5m 22s - 7.22 MB
- 3. Linkage between Z Values and Histograms - Part A - 5m 39s - 7.19 MB
- 4. Linkage between Z Values and Histograms - Part B - 6m 50s - 8.63 MB
- 5. Linkage between Z Values and Histograms - Part C - 9m 10s - 9.14 MB
- 6. Connection between Z Values and Performance Specifications - 8m 12s - 11.12 MB
- 7. Uses and Implications of an Equivalent Z Value (Z.EQ) - 4m 10s - 5.26 MB
Supporting Media
Standard Z-Probability - Describe how to convert a standard normal deviate into its corresponding probability
Instruction Videos
Expansion Videos
Application Videos
- 3. Creation of a Standard Normal Probability Table - 6m 31s - 9.20 MB
- 4. Spreadsheet Calculation of Standard Z Probabilities - 7m 53s - 10.99 MB
- 5. Spreadsheet Calculation of Defect Probabilities - Part A - 7m 12s - 10.13 MB
- 6. Spreadsheet Calculation of Defect Probabilities - Part B - 3m 40s - 4.35 MB
Supporting Media
Central Limit - Understand that the distribution of sampling averages follows a normal distribution
Instruction Videos
Application Videos
- 2. Demonstrating the Central Limit Theorem - Part A - 7m 59s - 7.91 MB
- 3. Demonstrating the Central Limit Theorem - Part B - 4m 13s - 4.09 MB
Supporting Media
Standard Error - Recognize that the dispersion of sampling averages is described by the standard error
Instruction Videos
- 1. Nature and Composition of the Standard Error - 6m 46s - 6.41 MB
- 2. Standard Errors and the Normal Distribution - 2m 52s - 2.73 MB
- 3. Applications and Uses of the Standard Error - 3m 54s - 3.69 MB
Supporting Media
Student's Distribution - Understand that the T distribution applies when sampling is less than infinite
Instruction Videos
Supporting Media
Standard T-Probability - Describe how to convert a T value into its corresponding probability
Instruction Videos
Application Videos
- 2. Spreadsheet Setup and Calculation of T-Probabilities - 5m 23s - 6.23 MB
- 3. Impact of Degrees-of-Freedom on T-Values and Probability - 5m 50s - 6.44 MB
Supporting Media
Statistics Simulation - Employ basic statistics to analyze data generated by the process simulator
Application Videos
Statistical Inferences - Explain the concept of a statistical inference and its primary benefits
Instruction Videos
Expansion Videos
Application Videos
- 3. Analytical Perspective of Statistical Inferences - Part A - 6m 55s - 9.72 MB
- 4. Analytical Perspective of Statistical inferences - Part B - 5m 43s - 7.21 MB
Supporting Media
Statistical Questions - Explain the nature and purpose of a statistical question
Instruction Videos
- 1. Nature and Purpose of Statistical Questions - Part A - 4m 39s - 4.38 MB
- 2. Nature and Purpose of Statistical Questions - Part B - 2m 21s - 2.24 MB
Application Videos
- 3. Formulation of Statistical Questions - Part A - 5m 58s - 8.02 MB
- 4. Formulation of Statistical Questions - Part B - 2m 51s - 3.66 MB
- 5. Formulation of Statistical Questions - Part C - 4m 46s - 4.92 MB
Supporting Media
Statistical Problems - Understand why practical problems must be translated into statistical problems
Instruction Videos
- 1. Nature and Implications of Statistical Problems - Part A - 5m 32s - 5.24 MB
- 2. Nature and Implications of Statistical Problems - Part B - 5m 11s - 4.92 MB
Supporting Media
Null Hypotheses - Define the nature and role of null hypotheses when making process improvements
Instruction Videos
- 1. Nature and Purpose of a Null Hypothesis - Part A - 8m 18s - 7.86 MB
- 2. Nature and Purpose of a Null Hypothesis - Part B - 6m 22s - 6.02 MB
- 3. Null Hypotheses and the Distribution of Chance - Part A - 3m 45s - 3.54 MB
- 4. Null Hypotheses and the Distribution of Chance - Part B - 4m 11s - 3.95 MB
Application Videos
- 5. Null Hypotheses and Random Chance Error - Part A - 4m 30s - 6.11 MB
- 6. Null Hypotheses and Random Chance Error - Part B - 4m 23s - 3.52 MB
Supporting Media
Alternate Hypotheses - Define the nature and role of alternate hypotheses when making process improvements
Instruction Videos
- 1. Nature and Aim of the Alternate Hypothesis - Part A - 7m 34s - 7.17 MB
- 2. Nature and Aim of the Alternate Hypothesis - Part B - 5m 41s - 5.38 MB
Application Videos
Supporting Media
Statistical Significance - Explain the concept of statistical significance versus practical significance
Instruction Videos
- 1. Meaning and Implication of Statistical Significance - 6m 58s - 6.59 MB
- 2. Alternate Hypotheses and Statistical Significance - 9m 03s - 8.57 MB
- 3. Illustration and Explanation of Statistical Significance - 6m 03s - 5.73 MB
- 4. Statistical Significance and the Standard Error - Part A - 3m 56s - 3.71 MB
- 5. Statistical Significance and the Standard Error - Part B - 8m 31s - 8.07 MB
Application Videos
- 6. Dynamic Simulation of Statistical Significance - Part A - 4m 03s - 3.73 MB
- 7. Dynamic Simulation of Statistical Significance - Part B - 6m 53s - 7.13 MB
- 8. Dynamic Simulation of Statistical Significance - Part C - 5m 03s - 5.31 MB
- 9. Dynamic Simulation of Statistical Significance - Part D - 5m 35s - 4.50 MB
Supporting Media
Alpha Risk - Explain the concept of alpha risk in terms of the alternate hypothesis
Instruction Videos
Expansion Videos
Application Videos
- 3. Links between the Sample Mean and Alpha Risk - 8m 07s - 9.87 MB
- 4. Links between the Sample Variance and Alpha Risk - 4m 26s - 5.83 MB
Supporting Media
Beta Risk - Define the meaning of beta risk and how it relates to test sensitivity
Instruction Videos
- 1. Central Meaning and Implication of Beta Risk - Part A - 4m 46s - 4.84 MB
- 2. Central Meaning and Implication of Beta Risk - Part B - 6m 01s - 6.10 MB
- 3. Connecting Beta Risk to the Power of Test - 7m 02s - 7.14 MB
Expansion Videos
Application Videos
- 5. Links between a Sample Mean and Beta Risk - 6m 45s - 7.21 MB
- 6. Links between a Sample Variance and Beta Risk - 7m 47s - 10.46 MB
Supporting Media
Criterion Differences - Explain the role of a criterion difference when testing hypotheses
Instruction Videos
Application Videos
Supporting Media
Decision Scenarios - Develop a scenario that exemplifies the use of hypothesis testing
Instruction Videos
- 1. Types of Decision Errors and the Truth Table - 4m 18s - 4.35 MB
- 2. Truth Tables Applied to Statistical Hypotheses - 7m 06s - 7.23 MB
Expansion Videos
- 3. Application of Statistical Decision Making - Part A - 1m 58s - 1.34 MB
- 4. Application of Statistical Decision Making - Part B - 3m 47s - 7.82 MB
Supporting Media
Sample Size - Define the statistical elements that must be considered when computing sample size
Instruction Videos
- 1. Nature and Implications of Sample Size - Part A - 3m 50s - 3.89 MB
- 2. Nature and Implications of Sample Size - Part B - 3m 58s - 4.06 MB
- 3. Determination of Sample Size for Experiments - Part A - 7m 00s - 7.12 MB
- 4. Determination of Sample Size for Experiments - Part B - 8m 13s - 8.35 MB
- 5. Key Considerations for Computing Sample Size - 9m 41s - 9.85 MB
- 6. Calculation of an Appropriate Sample Size - Part A - 5m 14s - 5.32 MB
- 7. Calculation of an Appropriate Sample Size - Part B - 3m 15s - 3.32 MB
- 8. Calculation of an Appropriate Sample Size - Part C - 5m 26s - 5.51 MB
- 9. Calculation of an Appropriate Sample Size - Part D - 7m 42s - 7.85 MB
- 10. Calculation of an Appropriate Sample Size - Part E - 6m 12s - 6.29 MB
- 11. Relationship between Six Sigma and Sample Size - 9m 29s - 9.64 MB
- 12. Role of Sample Size in Hypothesis Testing - Part A - 5m 46s - 5.85 MB
- 13. Role of Sample Size in Hypothesis Testing - Part B - 7m 41s - 7.81 MB
Application Videos
- 14. Example Calculation of Sample Size - Part A - 6m 34s - 3.04 MB
- 15. Example Calculation of Sample Size - Part B - 3m 38s - 1.84 MB
- 16. Calculation of Sample Size for Discrete Data - Part A - 3m 57s - 4.10 MB
- 17. Calculation of Sample Size for Discrete Data - Part B - 2m 49s - 2.81 MB
- 18. Power of a Test and Random Sampling - Part A - 4m 48s - 4.35 MB
- 19. Power of a Test and Random Sampling - Part B - 1m 41s - 1.90 MB
- 20. Power of a Test and Random Sampling - Part C - 3m 03s - 3.59 MB
Supporting Media
Confidence IntervalsMean Distribution - Comprehend and characterize the distribution of sampling averages
Instruction Videos
Supporting Media
Mean Interval - Compute and interpret the confidence interval of a mean
Instruction Videos
- 1. Establishing Confidence Intervals for the Mean - Part A - 4m 51s - 4.58 MB
- 2. Establishing Confidence Intervals for the Mean - Part B - 8m 50s - 8.38 MB
- 3. Establishing Confidence Intervals for the Mean - Part C - 3m 22s - 3.21 MB
- 4. Establishing Confidence Intervals for the Mean - Part D - 6m 25s - 6.06 MB
- 5. Interpretation of a Mean Confidence Interval - Part A - 7m 06s - 6.72 MB
- 6. Interpretation of a Mean Confidence Interval - Part B - 3m 25s - 3.23 MB
Application Videos
- 7. Dynamic Simulation of a Mean Confidence Interval - 7m 40s - 9.46 MB
- 8. Utilization of a Mean Confidence Interval - Part A - 4m 25s - 3.08 MB
- 9. Utilization of a Mean Confidence Interval - Part B - 4m 40s - 3.89 MB
- 10. Utilization of a Mean Confidence Interval - Part C - 3m 45s - 2.68 MB
Supporting Media
Variance Distribution - Comprehend and characterize the distribution of sampling variances
Instruction Videos
- 1. Exploring the Distribution of Sampling Variances - Part A - 2m 43s - 2.60 MB
- 2. Exploring the Distribution of Sampling Variances - Part B - 7m 59s - 7.58 MB
- 3. Exploring the Distribution of Sampling Variances - Part C - 2m 38s - 2.52 MB
Application Videos
Supporting Media
Variance Interval - Compute and interpret the confidence interval of a variance
Instruction Videos
- 1. Establishing Confidence Intervals for the Variance - Part A - 5m 32s - 5.24 MB
- 2. Establishing Confidence Intervals for the Variance - Part B - 7m 15s - 6.87 MB
- 3. Establishing Confidence Intervals for the Variance - Part C - 6m 01s - 5.68 MB
Application Videos
- 4. Simulation of a Variance Confidence Interval - Part A - 5m 06s - 6.57 MB
- 5. Simulation of a Variance Confidence Interval - Part B - 6m 17s - 8.02 MB
- 6. Statistical Comparison of Variance Confidence Intervals - 5m 41s - 3.50 MB
Supporting Media
Proportion Distribution - Comprehend and characterize the distribution of sampling proportions
Instruction Videos
Supporting Media
Proportion Interval - Compute and interpret the confidence interval of a proportion
Instruction Videos
- 1. Establishing Confidence Intervals for a Proportion - Part A - 7m 42s - 7.30 MB
- 2. Establishing Confidence Intervals for a Proportion - Part B - 6m 16s - 5.93 MB
Application Videos
- 3. Confidence Interval of Process Yield and Interpretation - 3m 14s - 1.81 MB
- 4. Testing a Proportion Using a Basic Z-Test - Part A - 3m 48s - 3.19 MB
- 5. Testing a Proportion Using a Basic Z-Test - Part B - 2m 38s - 2.28 MB
- 6. Impact of Sample Size on Discrete Confidence Intervals - 3m 24s - 3.51 MB
Supporting Media
Frequency Interval - Describe how frequency of defects is related to confidence intervals
Instruction Videos
- 1. Statistical Confidence Intervals for Frequencies - 6m 52s - 7.00 MB
- 2. Confidence Intervals for Defects-Per-Unit (DPU) - Part A - 4m 56s - 5.00 MB
- 3. Confidence Intervals for Defects-Per-Unit (DPU) - Part B - 5m 13s - 5.31 MB
Supporting Media
Parametric MethodsMean Differences - Determine if two means are statistically different from each other
Instruction Videos
- 1. Statistical Reasoning behind the Test of a Single Mean - 5m 21s - 5.06 MB
- 2. Statistical Tools for Testing a Single Mean - Part A - 6m 07s - 5.79 MB
- 3. Statistical Tools for Testing a Single Mean - Part B - 15m 16s - 12.43 MB
- 4. Two-Group Comparison of Mean Differences - Part A - 8m 28s - 8.01 MB
- 5. Two-Group Comparison of Mean Differences - Part B - 7m 37s - 7.22 MB
- 6. Two-Group Comparison of Mean Differences - Part C - 14m 09s - 12.92 MB
- 7. Two-Group Comparison of Mean Differences - Part D - 6m 19s - 5.99 MB
Expansion Videos
- 8. Simulation of a Typical Two-Group Comparison - Part A - 7m 14s - 3.77 MB
- 9. Simulation of a Typical Two-Group Comparison - Part B - 4m 00s - 2.17 MB
- 10. Simulation of a Typical Two-Group Comparison - Part C - 4m 16s - 2.23 MB
- 11. Simulation of a Typical Two-Group Comparison - Part D - 3m 14s - 1.95 MB
Application Videos
- 12. Calculations for a 2-Sample T-Test - Part A - 5m 09s - 6.41 MB
- 13. Calculations for a 2-Sample T-Test - Part B - 5m 29s - 7.25 MB
- 14. Calculations for a 2-Sample T-Test - Part C - 5m 14s - 5.99 MB
Supporting Media
Variance Differences - Determine if two variances are statistically different from each other
Instruction Videos
- 1. Nature and Purpose of a Two-Group Variance Test - 3m 14s - 3.04 MB
- 2. Execution and Analysis of a 2-Sample F-Test - Part A - 6m 50s - 6.46 MB
- 3. Execution and Analysis of a 2-Sample F-Test - Part B - 5m 52s - 5.54 MB
- 4. Execution and Analysis of a 2-Sample F-Test - Part C - 5m 20s - 5.04 MB
- 5. Execution and Analysis of a 2-Sample F-Test - Part D - 4m 16s - 4.03 MB
Application Videos
- 6. Spreadsheet Calculation of a Simple F-Test - Part A - 3m 08s - 2.22 MB
- 7. Spreadsheet Calculation of a Simple F-Test - Part B - 4m 28s - 5.25 MB
- 8. Spreadsheet Calculation of a Simple F-Test - Part C - 2m 29s - 2.95 MB
- 9. Use of Confidence Intervals for Testing Variances - 3m 57s - 4.10 MB
Supporting Media
Variation Total - Compute and interpret the total sums-of-squares
Instruction Videos
- 1. Compilation and Analysis of the Total Variation - 8m 06s - 7.67 MB
- 2. Essential Concepts Related to the Total Variation - 5m 08s - 4.85 MB
Application Videos
Supporting Media
Variation Within - Compute and interpret the within-group sums-of-squares
Instruction Videos
Application Videos
Supporting Media
Variation Between - Compute and interpret the between-group sums-of-squares
Instruction Videos
Application Videos
Supporting Media
Variation Analysis - Explain how the analysis of variances can reveal mean differences
Instruction Videos
- 1. Purpose and Aims of a Variation Analysis - 9m 59s - 9.45 MB
- 2. Primary Sources of Process Variation - Part A - 10m 11s - 9.65 MB
- 3. Primary Sources of Process Variation - Part B - 5m 30s - 5.20 MB
Application Videos
Supporting Media
One-Way ANOVA - Construct and interpret a one-way analysis-of-variance table
Instruction Videos
- 1. Nature and Purpose of One-Way ANOVA - 13m 43s - 13.02 MB
- 2. Comparison of Multiple Groups using One-Way ANOVA - 5m 09s - 4.87 MB
- 3. One-Way ANOVA Table and Interpretation - Part A - 5m 33s - 5.25 MB
- 4. One-Way ANOVA Table and Interpretation - Part B - 6m 36s - 6.24 MB
- 5. One-Way ANOVA Table and Interpretation - Part C - 10m 30s - 9.94 MB
- 6. Difference between Practical and Statistical Significance - 7m 44s - 7.32 MB
Application Videos
- 7. Execution of the One-Way ANOVA Procedure - Part A - 5m 22s - 5.08 MB
- 8. Execution of the One-Way ANOVA Procedure - Part B - 3m 47s - 4.64 MB
- 9. Understanding Post-Hoc Comparisons and Applications - 5m 41s - 6.63 MB
- 10. Using One-Way ANOVA for Process Characterization - 7m 23s - 7.33 MB
- 11. Case Study for the Application of One-Way ANOVA - 5m 08s - 5.63 MB
Supporting Media
Two-Way ANOVA - Construct and interpret a two-way analysis-of-variance table
Instruction Videos
Application Videos
Supporting Media
N-Way ANOVA - Construct and interpret an N-way analysis-of-variance table
Instruction Videos
Application Videos
Supporting Media
ANOVA Graphs - Construct and interpret a main effects plot as well as an interaction plot
Instruction Videos
- 1. Nature and Interpretation of ANOVA Graphs - 7m 51s - 7.43 MB
- 2. Creation of an ANOVA Main-Effect Plot - Part A - 6m 06s - 5.78 MB
- 3. Creation of an ANOVA Main-Effect Plot - Part B - 5m 05s - 4.81 MB
- 4. Creation of an ANOVA Main-Effect Plot - Part C - 6m 02s - 5.71 MB
Application Videos
- 5. Graphical Interrogation of ANOVA Results - Part A - 5m 33s - 4.40 MB
- 6. Graphical Interrogation of ANOVA Results - Part B - 6m 47s - 5.68 MB
Supporting Media
Linear Regression - Conduct a linear regression and construct an appropriate model
Instruction Videos
- 1. Nature and Purpose of Linear Regression - 11m 25s - 10.84 MB
- 2. Understanding the Key Elements of Linear Regression - 9m 19s - 8.84 MB
- 3. Creation and Use of a Simple Regression Equation - 5m 13s - 4.94 MB
- 4. Links between Regression and Correlation Coefficients - 9m 27s - 8.96 MB
Expansion Videos
- 5. Dynamic Simulation of a Simple Linear Regression - 1m 53s - 1.10 MB
- 6. Common Applications of Simple Linear Regression - 3m 16s - 2.47 MB
- 7. Influence of Sample Size on Linear Regression - 7m 27s - 6.31 MB
Application Videos
- 8. Case Study for the Use of Linear Regression - Part A - 6m 23s - 6.35 MB
- 9. Case Study for the Use of Linear Regression - Part B - 4m 33s - 6.20 MB
- 10. Case Study for the Use of Linear Regression - Part C - 2m 25s - 2.85 MB
- 11. Case Study for the Use of Linear Regression - Part D - 6m 06s - 6.78 MB
- 12. Case Study for the Use of Linear Regression - Part E - 3m 54s - 4.60 MB
- 13. Case Study for the Use of Linear Regression - Part F - 6m 13s - 7.64 MB
Supporting Media
Multiple Regression - Conduct a multiple regression and construct an appropriate model
Instruction Videos
Application Videos
- 2. Case Study for the use of Multiple Regression - Part A - 4m 38s - 6.08 MB
- 3. Case Study for the use of Multiple Regression - Part B - 5m 19s - 7.38 MB
Supporting Media
Residual Analysis - Compute and analyze the residuals resulting from a simple regression
Instruction Videos
- 1. Understanding the Nature of Residuals Analysis - 7m 57s - 7.54 MB
- 2. Graphical Interpretation and Analysis of Residuals - 8m 16s - 7.84 MB
Expansion Videos
Supporting Media
Parametric Simulation - Apply general regression methods to the process simulator
Application Videos
- 1. Process Simulation for Parametric Statistics - Part A - 3m 10s - 3.34 MB
- 2. Process Simulation for Parametric Statistics - Part B - 5m 54s - 6.95 MB
- 3. Process Simulation for Parametric Statistics - Part C - 3m 20s - 3.64 MB
- 4. Process Simulation for Parametric Statistics - Part D - 3m 51s - 4.67 MB
- 5. Process Simulation for Parametric Statistics - Part E - 5m 23s - 6.39 MB
- 6. Process Simulation for Parametric Statistics - Part F - 10m 00s - 6.54 MB
Experimental MethodsDesign Principles - Understand the principles of experiment design and analysis
Instruction Videos
- 1. Nature and Purpose of Statistical Experiment Design - 4m 26s - 4.18 MB
- 2. Basic Idea of Quadratic Loss and Related Implications - 6m 35s - 6.24 MB
- 3. Linking Statistical Hypotheses to Designed Experiments - 7m 26s - 7.03 MB
- 4. Understanding How to Optimize Performance - Part A - 6m 13s - 5.89 MB
- 5. Understanding How to Optimize Performance - Part B - 3m 40s - 3.46 MB
- 6. Understanding How to Optimize Performance - Part C - 4m 14s - 3.99 MB
- 7. Practical Applications of Experiment Design Methods - 4m 27s - 4.20 MB
- 8. General Sequence for Planning and Executing a DOE - 6m 04s - 5.74 MB
Supporting Media
Design Models - Describe the various types of designed experiments and their applications
Instruction Videos
- 1. Primary Types of Experiment Design Models - Part A - 6m 55s - 6.55 MB
- 2. Primary Types of Experiment Design Models - Part B - 6m 23s - 6.03 MB
Supporting Media
Experimental Strategies - Outline a strategy for designing and analyzing a statistical experiment
Instruction Videos
- 1. Process for Executing a Designed Experiment - Part A - 6m 49s - 6.45 MB
- 2. Process for Executing a Designed Experiment - Part B - 10m 16s - 9.73 MB
- 3. Process for Executing a Designed Experiment - Part C - 4m 09s - 3.90 MB
Supporting Media
Experimental Effects - Define the various types of experimental effects and how they impact decisions
Instruction Videos
- 1. Visualization of Common Experimental Effects - Part A - 4m 24s - 4.16 MB
- 2. Visualization of Common Experimental Effects - Part B - 6m 46s - 6.39 MB
- 3. Concept and Implications of Confounding - Part A - 5m 25s - 5.15 MB
- 4. Concept and Implications of Confounding - Part B - 2m 09s - 2.05 MB
- 5. Concept and Implications of Experimental Blocking - 2m 45s - 2.63 MB
- 6. Relationship between Blocking and Randomization - 2m 57s - 2.82 MB
Supporting Media
One-Factor Two Level - Configure and analyze a one-factor two-level statistically based experiment
Instruction Videos
- 1. Nature and Purpose of a One-Factor Experiment - 7m 22s - 6.97 MB
- 2. Main Effects of a Single Factor Experiment - 4m 24s - 4.16 MB
- 3. Linkage of Statistical Tolerancing to DOE - Part A - 7m 14s - 6.85 MB
- 4. Linkage of Statistical Tolerancing to DOE - Part B - 2m 46s - 2.60 MB
- 5. Use of Regression for the Analysis of Experiments - 2m 39s - 2.53 MB
- 6. Treatment and Interpretation of Non-Linear Effects - 5m 35s - 5.30 MB
Application Videos
- 7. One-Way ANOVA Method Applied to DOE - Part A - 3m 30s - 3.56 MB
- 8. One-Way ANOVA Method Applied to DOE - Part B - 5m 05s - 4.87 MB
Supporting Media
One-Factor Multi Level - Configure and analyze a one-factor multi-level statistically based experiment
Instruction Videos
Application Videos
- 2. ANOVA Method for Multi-Level Designs - Part A - 5m 19s - 5.44 MB
- 3. ANOVA Method for Multi-Level Designs - Part B - 1m 25s - 1.63 MB
Supporting Media
Full Factorials - Understand the nature and underlying logic of full factorial experiments
Instruction Videos
- 1. Nature and Character of Full Factorial Experiments - 6m 49s - 6.46 MB
- 2. Full Factorial Design and Basic Experimental Effects - 6m 32s - 6.18 MB
- 3. Features and Benefits of Full Factorial Experiments - 6m 25s - 6.08 MB
Supporting Media
Two-Factor Two Levels - Configure and analyze a two-factor two-level statistically based experiment
Instruction Videos
- 1. Two-Factor Two-Level Experiment Design - Part A - 4m 44s - 4.47 MB
- 2. Two-Factor Two-Level Experiment Design - Part B - 3m 29s - 3.29 MB
- 3. Two-Factor Two-Level Experiment Design - Part C - 2m 54s - 2.75 MB
- 4. Calculation and Display of Key Experimental Effects - 5m 04s - 4.78 MB
- 5. Graphing and Interpretation of Main Effects - 4m 33s - 4.30 MB
- 6. Graphing and Interpretation of Interactions - Part A - 4m 58s - 4.71 MB
- 7. Graphing and Interpretation of Interactions - Part B - 4m 46s - 4.50 MB
- 8. Creation and Structure of a Two-Way ANOVA Table - 8m 22s - 7.94 MB
- 9. Discovering the Path-of-Steepest-Assent - Part A - 8m 13s - 7.78 MB
- 10. Discovering the Path-of-Steepest-Assent - Part B - 5m 43s - 5.41 MB
Expansion Videos
- 11. Use of DOE to Facilitate Team Decision Making - Part A - 3m 26s - 1.39 MB
- 12. Use of DOE to Facilitate Team Decision Making - Part B - 6m 00s - 4.68 MB
- 13. Use of DOE to Facilitate Team Decision Making - Part C - 3m 28s - 1.54 MB
- 14. Use of DOE to Facilitate Team Decision Making - Part D - 5m 04s - 2.88 MB
- 15. Use of DOE to Facilitate Team Decision Making - Part E - 4m 24s - 2.30 MB
- 16. Use of DOE to Facilitate Team Decision Making - Part F - 3m 22s - 2.30 MB
- 17. Use of DOE to Facilitate Team Decision Making - Part G - 6m 01s - 2.99 MB
- 18. Use of DOE to Facilitate Team Decision Making - Part H - 2m 39s - 1.29 MB
Application Videos
- 19. Contrast Method for Conducting an ANOVA - Part A - 9m 33s - 10.82 MB
- 20. Contrast Method for Conducting an ANOVA - Part B - 2m 55s - 3.62 MB
- 21. Generation of a Two-Factor Two-Level Design - Part A - 6m 17s - 6.92 MB
- 22. Generation of a Two-Factor Two-Level Design - Part B - 2m 32s - 2.88 MB
- 23. Analysis of a Replicated Two-Factor Experiment - 7m 48s - 8.90 MB
- 24. Analysis of an Unreplicated Two-Factor Experiment - 5m 31s - 5.42 MB
- 25. Catapult Case Study for a Two-Factor Experiment - 11m 40s - 8.88 MB
Supporting Media
Two-Factor Multi Level - Configure and analyze a two-factor multi-level statistically based experiment
Instruction Videos
Supporting Media
Three-Factor Two Level - Configure and analyze a three-factor two-level statistically based experiment
Instruction Videos
Application Videos
- 2. Design and Analysis of a Three-Factor DOE - Part A - 7m 03s - 7.38 MB
- 3. Design and Analysis of a Three-Factor DOE - Part B - 5m 49s - 5.95 MB
- 4. Design and Analysis of a Three-Factor DOE - Part C - 4m 09s - 5.64 MB
- 5. Creation and Application of an Outer Array - Part A - 3m 40s - 3.68 MB
- 6. Creation and Application of an Outer Array - Part B - 8m 23s - 10.11 MB
- 7. Use of Regression for Analyzing Experiments - Part A - 2m 29s - 2.91 MB
- 8. Use of Regression for Analyzing Experiments - Part B - 4m 33s - 5.88 MB
- 9. Expanding the Factorial Design Matrix - Part A - 1m 47s - 2.14 MB
- 10. Expanding the Factorial Design Matrix - Part B - 7m 56s - 8.38 MB
Supporting Media
Planning Experiments - Understand the planning and implementation considerations related to statistical experiments
Instruction Videos
- 1. Calculation and Implications of Sample Size in a DOE - 9m 47s - 6.46 MB
- 2. Process for Planning Statistical Experiments - Part A - 4m 32s - 4.28 MB
- 3. Process for Planning Statistical Experiments - Part B - 5m 32s - 5.23 MB
- 4. Process for Planning Statistical Experiments - Part C - 4m 32s - 4.29 MB
- 5. Process for Planning Statistical Experiments - Part D - 4m 54s - 4.64 MB
Supporting Media
Fractional Factorials - Understand the nature and underlying logic of fractional factorial experiments
Instruction Videos
- 1. Concept and Aims of Fractional Factorial Experiments - 5m 30s - 5.20 MB
- 2. Logic of the Fractional Factorial Design Matrix - 7m 19s - 6.94 MB
- 3. Three-Factor Fractional Factorial Experiments - Part A - 9m 07s - 8.65 MB
- 4. Three-Factor Fractional Factorial Experiments - Part B - 6m 20s - 6.02 MB
- 5. Concept and Implications of Design Resolution - Part A - 5m 01s - 4.74 MB
- 6. Concept and Implications of Design Resolution - Part B - 4m 10s - 3.94 MB
- 7. Concept and Implications of Design Resolution - Part C - 4m 01s - 3.80 MB
- 8. Concept and Implications of Design Resolution - Part D - 2m 57s - 2.78 MB
- 9. Concept and Implications of Design Resolution - Part E - 4m 40s - 4.40 MB
Application Videos
- 10. Generation of a Fractional Factorial Matrix - Part A - 8m 39s - 10.97 MB
- 11. Generation of a Fractional Factorial Matrix - Part B - 3m 12s - 3.40 MB
- 12. Generation of a Fractional Factorial Matrix - Part C - 2m 34s - 3.18 MB
- 13. Generation of a Fractional Factorial Matrix - Part D - 6m 05s - 7.49 MB
- 14. Execution of a Fractional Factorial Experiment - 7m 11s - 8.68 MB
Supporting Media
Four-Factor Half-Fraction - Configure and analyze a four-factor half-fraction statistically based experiment
Instruction Videos
- 1. Four-Factor Half-Fraction Design Matrix - Part A - 3m 35s - 3.39 MB
- 2. Four-Factor Half-Fraction Design Matrix - Part B - 5m 46s - 5.45 MB
Application Videos
Supporting Media
Five-Factor Half-Fraction - Configure and analyze a five-factor half-fraction statistically based experiment
Instruction Videos
Application Videos
- 2. Execution of Five-Factor Half-Fraction Design - Part A - 5m 05s - 5.42 MB
- 3. Execution of Five-Factor Half-Fraction Design - Part B - 3m 28s - 4.09 MB
- 4. Execution of Five-Factor Half-Fraction Design - Part C - 1m 52s - 2.06 MB
- 5. Catapult Case Study for the Five-Factor Design - Part A - 5m 05s - 7.07 MB
- 6. Catapult Case Study for the Five-Factor Design - Part B - 4m 29s - 2.28 MB
- 7. Catapult Case Study for the Five-Factor Design - Part C - 6m 27s - 4.46 MB
Supporting Media
Screening Designs - Understand how to select, implement, and analyze a screening experiment
Instruction Videos
Application Videos
- 2. Example Execution and Analysis of a Screening Design - Part A - 3m 24s - 3.62 MB
- 3. Example Execution and Analysis of a Screening Design - Part B - 4m 10s - 3.57 MB
Supporting Media
Robust Designs - Explain the purpose of robust design and define several practical usages
Instruction Videos
- 1. Nature and Purpose of Robust Design Methods - Part A - 5m 25s - 5.51 MB
- 2. Nature and Purpose of Robust Design Methods - Part B - 5m 36s - 5.69 MB
- 3. Nature and Purpose of Robust Design Methods - Part C - 2m 06s - 2.16 MB
- 4. Nature and Purpose of Robust Design Methods - Part D - 2m 47s - 2.85 MB
Application Videos
- 5. Execution and Analysis of a Robust Design - Part A - 4m 14s - 3.59 MB
- 6. Execution and Analysis of a Robust Design - Part B - 5m 29s - 4.51 MB
- 7. Execution and Analysis of a Robust Design - Part C - 6m 27s - 5.99 MB
- 8. Execution and Analysis of a Robust Design - Part D - 5m 19s - 3.22 MB
- 9. Execution and Analysis of a Robust Design - Part E - 6m 07s - 4.16 MB
- 10. Execution and Analysis of a Robust Design - Part F - 4m 44s - 5.14 MB
- 11. Execution and Analysis of a Robust Design - Part G - 8m 21s - 5.80 MB
- 12. Execution and Analysis of a Robust Design - Part H - 4m 22s - 4.36 MB
- 13. Execution and Analysis of a Robust Design - Part I - 7m 08s - 6.19 MB
- 14. Execution and Analysis of a Robust Design - Part J - 4m 30s - 3.66 MB
Supporting Media
Experiment Simulation - Describe how a DOE can be employed when measurement data is not available
Application Videos
Measurement AnalysisMeasurement Uncertainty - Understand the concept of measurement uncertainty
Instruction Videos
- 1. Nature and Meaning of Measurement Uncertainty - 5m 23s - 5.10 MB
- 2. Purpose of a Measurement Systems Analysis (MSA) - 7m 06s - 6.73 MB
- 3. Primary Elements of Measurement System - 3m 14s - 3.05 MB
Supporting Media
Measurement Components - Describe the components of measurement error and their consequential impact
Instruction Videos
- 1. Categories of Measurement System Error - 4m 55s - 6.03 MB
- 2. Repeatability and Reproducibility of Measurements - 6m 22s - 4.18 MB
- 3. Additive Nature of Measurement System Errors - 4m 25s - 4.62 MB
Supporting Media
Measurement Studies - Explain how a measurement systems analysis is designed and conducted
Instruction Videos
- 1. Example Analysis of a Measurement System - Part A - 2m 41s - 2.56 MB
- 2. Example Analysis of a Measurement System - Part B - 7m 14s - 6.85 MB
- 3. Example Analysis of a Measurement System - Part C - 5m 36s - 5.31 MB
- 4. Example Analysis of a Measurement System - Part D - 6m 23s - 6.05 MB
- 5. Example Analysis of a Measurement System - Part E - 9m 53s - 9.37 MB
Application Videos
- 6. Case Study for Conducting an MSA Study - Part A - 8m 19s - 8.43 MB
- 7. Case Study for Conducting an MSA Study - Part B - 4m 13s - 5.27 MB
Supporting Media
Mean Distribution - Comprehend and characterize the distribution of sampling averages
Instruction Videos
Supporting Media
Mean Interval - Compute and interpret the confidence interval of a mean
Instruction Videos
- 1. Establishing Confidence Intervals for the Mean - Part A - 4m 51s - 4.58 MB
- 2. Establishing Confidence Intervals for the Mean - Part B - 8m 50s - 8.38 MB
- 3. Establishing Confidence Intervals for the Mean - Part C - 3m 22s - 3.21 MB
- 4. Establishing Confidence Intervals for the Mean - Part D - 6m 25s - 6.06 MB
- 5. Interpretation of a Mean Confidence Interval - Part A - 7m 06s - 6.72 MB
- 6. Interpretation of a Mean Confidence Interval - Part B - 3m 25s - 3.23 MB
Application Videos
- 7. Dynamic Simulation of a Mean Confidence Interval - 7m 40s - 9.46 MB
- 8. Utilization of a Mean Confidence Interval - Part A - 4m 25s - 3.08 MB
- 9. Utilization of a Mean Confidence Interval - Part B - 4m 40s - 3.89 MB
- 10. Utilization of a Mean Confidence Interval - Part C - 3m 45s - 2.68 MB
Supporting Media
Variance Distribution - Comprehend and characterize the distribution of sampling variances
Instruction Videos
- 1. Exploring the Distribution of Sampling Variances - Part A - 2m 43s - 2.60 MB
- 2. Exploring the Distribution of Sampling Variances - Part B - 7m 59s - 7.58 MB
- 3. Exploring the Distribution of Sampling Variances - Part C - 2m 38s - 2.52 MB
Application Videos
Supporting Media
Variance Interval - Compute and interpret the confidence interval of a variance
Instruction Videos
- 1. Establishing Confidence Intervals for the Variance - Part A - 5m 32s - 5.24 MB
- 2. Establishing Confidence Intervals for the Variance - Part B - 7m 15s - 6.87 MB
- 3. Establishing Confidence Intervals for the Variance - Part C - 6m 01s - 5.68 MB
Application Videos
- 4. Simulation of a Variance Confidence Interval - Part A - 5m 06s - 6.57 MB
- 5. Simulation of a Variance Confidence Interval - Part B - 6m 17s - 8.02 MB
- 6. Statistical Comparison of Variance Confidence Intervals - 5m 41s - 3.50 MB
Supporting Media
Proportion Distribution - Comprehend and characterize the distribution of sampling proportions
Instruction Videos
Supporting Media
Proportion Interval - Compute and interpret the confidence interval of a proportion
Instruction Videos
- 1. Establishing Confidence Intervals for a Proportion - Part A - 7m 42s - 7.30 MB
- 2. Establishing Confidence Intervals for a Proportion - Part B - 6m 16s - 5.93 MB
Application Videos
- 3. Confidence Interval of Process Yield and Interpretation - 3m 14s - 1.81 MB
- 4. Testing a Proportion Using a Basic Z-Test - Part A - 3m 48s - 3.19 MB
- 5. Testing a Proportion Using a Basic Z-Test - Part B - 2m 38s - 2.28 MB
- 6. Impact of Sample Size on Discrete Confidence Intervals - 3m 24s - 3.51 MB
Supporting Media
Frequency Interval - Describe how frequency of defects is related to confidence intervals
Instruction Videos
- 1. Statistical Confidence Intervals for Frequencies - 6m 52s - 7.00 MB
- 2. Confidence Intervals for Defects-Per-Unit (DPU) - Part A - 4m 56s - 5.00 MB
- 3. Confidence Intervals for Defects-Per-Unit (DPU) - Part B - 5m 13s - 5.31 MB
Supporting Media
Mean Differences - Determine if two means are statistically different from each other
Instruction Videos
- 1. Statistical Reasoning behind the Test of a Single Mean - 5m 21s - 5.06 MB
- 2. Statistical Tools for Testing a Single Mean - Part A - 6m 07s - 5.79 MB
- 3. Statistical Tools for Testing a Single Mean - Part B - 15m 16s - 12.43 MB
- 4. Two-Group Comparison of Mean Differences - Part A - 8m 28s - 8.01 MB
- 5. Two-Group Comparison of Mean Differences - Part B - 7m 37s - 7.22 MB
- 6. Two-Group Comparison of Mean Differences - Part C - 14m 09s - 12.92 MB
- 7. Two-Group Comparison of Mean Differences - Part D - 6m 19s - 5.99 MB
Expansion Videos
- 8. Simulation of a Typical Two-Group Comparison - Part A - 7m 14s - 3.77 MB
- 9. Simulation of a Typical Two-Group Comparison - Part B - 4m 00s - 2.17 MB
- 10. Simulation of a Typical Two-Group Comparison - Part C - 4m 16s - 2.23 MB
- 11. Simulation of a Typical Two-Group Comparison - Part D - 3m 14s - 1.95 MB
Application Videos
- 12. Calculations for a 2-Sample T-Test - Part A - 5m 09s - 6.41 MB
- 13. Calculations for a 2-Sample T-Test - Part B - 5m 29s - 7.25 MB
- 14. Calculations for a 2-Sample T-Test - Part C - 5m 14s - 5.99 MB
Supporting Media
Variance Differences - Determine if two variances are statistically different from each other
Instruction Videos
- 1. Nature and Purpose of a Two-Group Variance Test - 3m 14s - 3.04 MB
- 2. Execution and Analysis of a 2-Sample F-Test - Part A - 6m 50s - 6.46 MB
- 3. Execution and Analysis of a 2-Sample F-Test - Part B - 5m 52s - 5.54 MB
- 4. Execution and Analysis of a 2-Sample F-Test - Part C - 5m 20s - 5.04 MB
- 5. Execution and Analysis of a 2-Sample F-Test - Part D - 4m 16s - 4.03 MB
Application Videos
- 6. Spreadsheet Calculation of a Simple F-Test - Part A - 3m 08s - 2.22 MB
- 7. Spreadsheet Calculation of a Simple F-Test - Part B - 4m 28s - 5.25 MB
- 8. Spreadsheet Calculation of a Simple F-Test - Part C - 2m 29s - 2.95 MB
- 9. Use of Confidence Intervals for Testing Variances - 3m 57s - 4.10 MB
Supporting Media
Variation Total - Compute and interpret the total sums-of-squares
Instruction Videos
- 1. Compilation and Analysis of the Total Variation - 8m 06s - 7.67 MB
- 2. Essential Concepts Related to the Total Variation - 5m 08s - 4.85 MB
Application Videos
Supporting Media
Variation Within - Compute and interpret the within-group sums-of-squares
Instruction Videos
Application Videos
Supporting Media
Variation Between - Compute and interpret the between-group sums-of-squares
Instruction Videos
Application Videos
Supporting Media
Variation Analysis - Explain how the analysis of variances can reveal mean differences
Instruction Videos
- 1. Purpose and Aims of a Variation Analysis - 9m 59s - 9.45 MB
- 2. Primary Sources of Process Variation - Part A - 10m 11s - 9.65 MB
- 3. Primary Sources of Process Variation - Part B - 5m 30s - 5.20 MB
Application Videos
Supporting Media
One-Way ANOVA - Construct and interpret a one-way analysis-of-variance table
Instruction Videos
- 1. Nature and Purpose of One-Way ANOVA - 13m 43s - 13.02 MB
- 2. Comparison of Multiple Groups using One-Way ANOVA - 5m 09s - 4.87 MB
- 3. One-Way ANOVA Table and Interpretation - Part A - 5m 33s - 5.25 MB
- 4. One-Way ANOVA Table and Interpretation - Part B - 6m 36s - 6.24 MB
- 5. One-Way ANOVA Table and Interpretation - Part C - 10m 30s - 9.94 MB
- 6. Difference between Practical and Statistical Significance - 7m 44s - 7.32 MB
Application Videos
- 7. Execution of the One-Way ANOVA Procedure - Part A - 5m 22s - 5.08 MB
- 8. Execution of the One-Way ANOVA Procedure - Part B - 3m 47s - 4.64 MB
- 9. Understanding Post-Hoc Comparisons and Applications - 5m 41s - 6.63 MB
- 10. Using One-Way ANOVA for Process Characterization - 7m 23s - 7.33 MB
- 11. Case Study for the Application of One-Way ANOVA - 5m 08s - 5.63 MB
Supporting Media
Two-Way ANOVA - Construct and interpret a two-way analysis-of-variance table
Instruction Videos
Application Videos
Supporting Media
N-Way ANOVA - Construct and interpret an N-way analysis-of-variance table
Instruction Videos
Application Videos
Supporting Media
ANOVA Graphs - Construct and interpret a main effects plot as well as an interaction plot
Instruction Videos
- 1. Nature and Interpretation of ANOVA Graphs - 7m 51s - 7.43 MB
- 2. Creation of an ANOVA Main-Effect Plot - Part A - 6m 06s - 5.78 MB
- 3. Creation of an ANOVA Main-Effect Plot - Part B - 5m 05s - 4.81 MB
- 4. Creation of an ANOVA Main-Effect Plot - Part C - 6m 02s - 5.71 MB
Application Videos
- 5. Graphical Interrogation of ANOVA Results - Part A - 5m 33s - 4.40 MB
- 6. Graphical Interrogation of ANOVA Results - Part B - 6m 47s - 5.68 MB
Supporting Media
Linear Regression - Conduct a linear regression and construct an appropriate model
Instruction Videos
- 1. Nature and Purpose of Linear Regression - 11m 25s - 10.84 MB
- 2. Understanding the Key Elements of Linear Regression - 9m 19s - 8.84 MB
- 3. Creation and Use of a Simple Regression Equation - 5m 13s - 4.94 MB
- 4. Links between Regression and Correlation Coefficients - 9m 27s - 8.96 MB
Expansion Videos
- 5. Dynamic Simulation of a Simple Linear Regression - 1m 53s - 1.10 MB
- 6. Common Applications of Simple Linear Regression - 3m 16s - 2.47 MB
- 7. Influence of Sample Size on Linear Regression - 7m 27s - 6.31 MB
Application Videos
- 8. Case Study for the Use of Linear Regression - Part A - 6m 23s - 6.35 MB
- 9. Case Study for the Use of Linear Regression - Part B - 4m 33s - 6.20 MB
- 10. Case Study for the Use of Linear Regression - Part C - 2m 25s - 2.85 MB
- 11. Case Study for the Use of Linear Regression - Part D - 6m 06s - 6.78 MB
- 12. Case Study for the Use of Linear Regression - Part E - 3m 54s - 4.60 MB
- 13. Case Study for the Use of Linear Regression - Part F - 6m 13s - 7.64 MB
Supporting Media
Multiple Regression - Conduct a multiple regression and construct an appropriate model
Instruction Videos
Application Videos
- 2. Case Study for the use of Multiple Regression - Part A - 4m 38s - 6.08 MB
- 3. Case Study for the use of Multiple Regression - Part B - 5m 19s - 7.38 MB
Supporting Media
Residual Analysis - Compute and analyze the residuals resulting from a simple regression
Instruction Videos
- 1. Understanding the Nature of Residuals Analysis - 7m 57s - 7.54 MB
- 2. Graphical Interpretation and Analysis of Residuals - 8m 16s - 7.84 MB
Expansion Videos
Supporting Media
Parametric Simulation - Apply general regression methods to the process simulator
Application Videos
- 1. Process Simulation for Parametric Statistics - Part A - 3m 10s - 3.34 MB
- 2. Process Simulation for Parametric Statistics - Part B - 5m 54s - 6.95 MB
- 3. Process Simulation for Parametric Statistics - Part C - 3m 20s - 3.64 MB
- 4. Process Simulation for Parametric Statistics - Part D - 3m 51s - 4.67 MB
- 5. Process Simulation for Parametric Statistics - Part E - 5m 23s - 6.39 MB
- 6. Process Simulation for Parametric Statistics - Part F - 10m 00s - 6.54 MB
Experimental MethodsDesign Principles - Understand the principles of experiment design and analysis
Instruction Videos
- 1. Nature and Purpose of Statistical Experiment Design - 4m 26s - 4.18 MB
- 2. Basic Idea of Quadratic Loss and Related Implications - 6m 35s - 6.24 MB
- 3. Linking Statistical Hypotheses to Designed Experiments - 7m 26s - 7.03 MB
- 4. Understanding How to Optimize Performance - Part A - 6m 13s - 5.89 MB
- 5. Understanding How to Optimize Performance - Part B - 3m 40s - 3.46 MB
- 6. Understanding How to Optimize Performance - Part C - 4m 14s - 3.99 MB
- 7. Practical Applications of Experiment Design Methods - 4m 27s - 4.20 MB
- 8. General Sequence for Planning and Executing a DOE - 6m 04s - 5.74 MB
Supporting Media
Design Models - Describe the various types of designed experiments and their applications
Instruction Videos
- 1. Primary Types of Experiment Design Models - Part A - 6m 55s - 6.55 MB
- 2. Primary Types of Experiment Design Models - Part B - 6m 23s - 6.03 MB
Supporting Media
Experimental Strategies - Outline a strategy for designing and analyzing a statistical experiment
Instruction Videos
- 1. Process for Executing a Designed Experiment - Part A - 6m 49s - 6.45 MB
- 2. Process for Executing a Designed Experiment - Part B - 10m 16s - 9.73 MB
- 3. Process for Executing a Designed Experiment - Part C - 4m 09s - 3.90 MB
Supporting Media
Experimental Effects - Define the various types of experimental effects and how they impact decisions
Instruction Videos
- 1. Visualization of Common Experimental Effects - Part A - 4m 24s - 4.16 MB
- 2. Visualization of Common Experimental Effects - Part B - 6m 46s - 6.39 MB
- 3. Concept and Implications of Confounding - Part A - 5m 25s - 5.15 MB
- 4. Concept and Implications of Confounding - Part B - 2m 09s - 2.05 MB
- 5. Concept and Implications of Experimental Blocking - 2m 45s - 2.63 MB
- 6. Relationship between Blocking and Randomization - 2m 57s - 2.82 MB
Supporting Media
One-Factor Two Level - Configure and analyze a one-factor two-level statistically based experiment
Instruction Videos
- 1. Nature and Purpose of a One-Factor Experiment - 7m 22s - 6.97 MB
- 2. Main Effects of a Single Factor Experiment - 4m 24s - 4.16 MB
- 3. Linkage of Statistical Tolerancing to DOE - Part A - 7m 14s - 6.85 MB
- 4. Linkage of Statistical Tolerancing to DOE - Part B - 2m 46s - 2.60 MB
- 5. Use of Regression for the Analysis of Experiments - 2m 39s - 2.53 MB
- 6. Treatment and Interpretation of Non-Linear Effects - 5m 35s - 5.30 MB
Application Videos
- 7. One-Way ANOVA Method Applied to DOE - Part A - 3m 30s - 3.56 MB
- 8. One-Way ANOVA Method Applied to DOE - Part B - 5m 05s - 4.87 MB
Supporting Media
One-Factor Multi Level - Configure and analyze a one-factor multi-level statistically based experiment
Instruction Videos
Application Videos
- 2. ANOVA Method for Multi-Level Designs - Part A - 5m 19s - 5.44 MB
- 3. ANOVA Method for Multi-Level Designs - Part B - 1m 25s - 1.63 MB
Supporting Media
Full Factorials - Understand the nature and underlying logic of full factorial experiments
Instruction Videos
- 1. Nature and Character of Full Factorial Experiments - 6m 49s - 6.46 MB
- 2. Full Factorial Design and Basic Experimental Effects - 6m 32s - 6.18 MB
- 3. Features and Benefits of Full Factorial Experiments - 6m 25s - 6.08 MB
Supporting Media
Two-Factor Two Levels - Configure and analyze a two-factor two-level statistically based experiment
Instruction Videos
- 1. Two-Factor Two-Level Experiment Design - Part A - 4m 44s - 4.47 MB
- 2. Two-Factor Two-Level Experiment Design - Part B - 3m 29s - 3.29 MB
- 3. Two-Factor Two-Level Experiment Design - Part C - 2m 54s - 2.75 MB
- 4. Calculation and Display of Key Experimental Effects - 5m 04s - 4.78 MB
- 5. Graphing and Interpretation of Main Effects - 4m 33s - 4.30 MB
- 6. Graphing and Interpretation of Interactions - Part A - 4m 58s - 4.71 MB
- 7. Graphing and Interpretation of Interactions - Part B - 4m 46s - 4.50 MB
- 8. Creation and Structure of a Two-Way ANOVA Table - 8m 22s - 7.94 MB
- 9. Discovering the Path-of-Steepest-Assent - Part A - 8m 13s - 7.78 MB
- 10. Discovering the Path-of-Steepest-Assent - Part B - 5m 43s - 5.41 MB
Expansion Videos
- 11. Use of DOE to Facilitate Team Decision Making - Part A - 3m 26s - 1.39 MB
- 12. Use of DOE to Facilitate Team Decision Making - Part B - 6m 00s - 4.68 MB
- 13. Use of DOE to Facilitate Team Decision Making - Part C - 3m 28s - 1.54 MB
- 14. Use of DOE to Facilitate Team Decision Making - Part D - 5m 04s - 2.88 MB
- 15. Use of DOE to Facilitate Team Decision Making - Part E - 4m 24s - 2.30 MB
- 16. Use of DOE to Facilitate Team Decision Making - Part F - 3m 22s - 2.30 MB
- 17. Use of DOE to Facilitate Team Decision Making - Part G - 6m 01s - 2.99 MB
- 18. Use of DOE to Facilitate Team Decision Making - Part H - 2m 39s - 1.29 MB
Application Videos
- 19. Contrast Method for Conducting an ANOVA - Part A - 9m 33s - 10.82 MB
- 20. Contrast Method for Conducting an ANOVA - Part B - 2m 55s - 3.62 MB
- 21. Generation of a Two-Factor Two-Level Design - Part A - 6m 17s - 6.92 MB
- 22. Generation of a Two-Factor Two-Level Design - Part B - 2m 32s - 2.88 MB
- 23. Analysis of a Replicated Two-Factor Experiment - 7m 48s - 8.90 MB
- 24. Analysis of an Unreplicated Two-Factor Experiment - 5m 31s - 5.42 MB
- 25. Catapult Case Study for a Two-Factor Experiment - 11m 40s - 8.88 MB
Supporting Media
Two-Factor Multi Level - Configure and analyze a two-factor multi-level statistically based experiment
Instruction Videos
Supporting Media
Three-Factor Two Level - Configure and analyze a three-factor two-level statistically based experiment
Instruction Videos
Application Videos
- 2. Design and Analysis of a Three-Factor DOE - Part A - 7m 03s - 7.38 MB
- 3. Design and Analysis of a Three-Factor DOE - Part B - 5m 49s - 5.95 MB
- 4. Design and Analysis of a Three-Factor DOE - Part C - 4m 09s - 5.64 MB
- 5. Creation and Application of an Outer Array - Part A - 3m 40s - 3.68 MB
- 6. Creation and Application of an Outer Array - Part B - 8m 23s - 10.11 MB
- 7. Use of Regression for Analyzing Experiments - Part A - 2m 29s - 2.91 MB
- 8. Use of Regression for Analyzing Experiments - Part B - 4m 33s - 5.88 MB
- 9. Expanding the Factorial Design Matrix - Part A - 1m 47s - 2.14 MB
- 10. Expanding the Factorial Design Matrix - Part B - 7m 56s - 8.38 MB
Supporting Media
Planning Experiments - Understand the planning and implementation considerations related to statistical experiments
Instruction Videos
- 1. Calculation and Implications of Sample Size in a DOE - 9m 47s - 6.46 MB
- 2. Process for Planning Statistical Experiments - Part A - 4m 32s - 4.28 MB
- 3. Process for Planning Statistical Experiments - Part B - 5m 32s - 5.23 MB
- 4. Process for Planning Statistical Experiments - Part C - 4m 32s - 4.29 MB
- 5. Process for Planning Statistical Experiments - Part D - 4m 54s - 4.64 MB
Supporting Media
Fractional Factorials - Understand the nature and underlying logic of fractional factorial experiments
Instruction Videos
- 1. Concept and Aims of Fractional Factorial Experiments - 5m 30s - 5.20 MB
- 2. Logic of the Fractional Factorial Design Matrix - 7m 19s - 6.94 MB
- 3. Three-Factor Fractional Factorial Experiments - Part A - 9m 07s - 8.65 MB
- 4. Three-Factor Fractional Factorial Experiments - Part B - 6m 20s - 6.02 MB
- 5. Concept and Implications of Design Resolution - Part A - 5m 01s - 4.74 MB
- 6. Concept and Implications of Design Resolution - Part B - 4m 10s - 3.94 MB
- 7. Concept and Implications of Design Resolution - Part C - 4m 01s - 3.80 MB
- 8. Concept and Implications of Design Resolution - Part D - 2m 57s - 2.78 MB
- 9. Concept and Implications of Design Resolution - Part E - 4m 40s - 4.40 MB
Application Videos
- 10. Generation of a Fractional Factorial Matrix - Part A - 8m 39s - 10.97 MB
- 11. Generation of a Fractional Factorial Matrix - Part B - 3m 12s - 3.40 MB
- 12. Generation of a Fractional Factorial Matrix - Part C - 2m 34s - 3.18 MB
- 13. Generation of a Fractional Factorial Matrix - Part D - 6m 05s - 7.49 MB
- 14. Execution of a Fractional Factorial Experiment - 7m 11s - 8.68 MB
Supporting Media
Four-Factor Half-Fraction - Configure and analyze a four-factor half-fraction statistically based experiment
Instruction Videos
- 1. Four-Factor Half-Fraction Design Matrix - Part A - 3m 35s - 3.39 MB
- 2. Four-Factor Half-Fraction Design Matrix - Part B - 5m 46s - 5.45 MB
Application Videos
Supporting Media
Five-Factor Half-Fraction - Configure and analyze a five-factor half-fraction statistically based experiment
Instruction Videos
Application Videos
- 2. Execution of Five-Factor Half-Fraction Design - Part A - 5m 05s - 5.42 MB
- 3. Execution of Five-Factor Half-Fraction Design - Part B - 3m 28s - 4.09 MB
- 4. Execution of Five-Factor Half-Fraction Design - Part C - 1m 52s - 2.06 MB
- 5. Catapult Case Study for the Five-Factor Design - Part A - 5m 05s - 7.07 MB
- 6. Catapult Case Study for the Five-Factor Design - Part B - 4m 29s - 2.28 MB
- 7. Catapult Case Study for the Five-Factor Design - Part C - 6m 27s - 4.46 MB
Supporting Media
Screening Designs - Understand how to select, implement, and analyze a screening experiment
Instruction Videos
Application Videos
- 2. Example Execution and Analysis of a Screening Design - Part A - 3m 24s - 3.62 MB
- 3. Example Execution and Analysis of a Screening Design - Part B - 4m 10s - 3.57 MB
Supporting Media
Robust Designs - Explain the purpose of robust design and define several practical usages
Instruction Videos
- 1. Nature and Purpose of Robust Design Methods - Part A - 5m 25s - 5.51 MB
- 2. Nature and Purpose of Robust Design Methods - Part B - 5m 36s - 5.69 MB
- 3. Nature and Purpose of Robust Design Methods - Part C - 2m 06s - 2.16 MB
- 4. Nature and Purpose of Robust Design Methods - Part D - 2m 47s - 2.85 MB
Application Videos
- 5. Execution and Analysis of a Robust Design - Part A - 4m 14s - 3.59 MB
- 6. Execution and Analysis of a Robust Design - Part B - 5m 29s - 4.51 MB
- 7. Execution and Analysis of a Robust Design - Part C - 6m 27s - 5.99 MB
- 8. Execution and Analysis of a Robust Design - Part D - 5m 19s - 3.22 MB
- 9. Execution and Analysis of a Robust Design - Part E - 6m 07s - 4.16 MB
- 10. Execution and Analysis of a Robust Design - Part F - 4m 44s - 5.14 MB
- 11. Execution and Analysis of a Robust Design - Part G - 8m 21s - 5.80 MB
- 12. Execution and Analysis of a Robust Design - Part H - 4m 22s - 4.36 MB
- 13. Execution and Analysis of a Robust Design - Part I - 7m 08s - 6.19 MB
- 14. Execution and Analysis of a Robust Design - Part J - 4m 30s - 3.66 MB
Supporting Media
Experiment Simulation - Describe how a DOE can be employed when measurement data is not available
Application Videos
Measurement AnalysisMeasurement Uncertainty - Understand the concept of measurement uncertainty
Instruction Videos
- 1. Nature and Meaning of Measurement Uncertainty - 5m 23s - 5.10 MB
- 2. Purpose of a Measurement Systems Analysis (MSA) - 7m 06s - 6.73 MB
- 3. Primary Elements of Measurement System - 3m 14s - 3.05 MB
Supporting Media
Measurement Components - Describe the components of measurement error and their consequential impact
Instruction Videos
- 1. Categories of Measurement System Error - 4m 55s - 6.03 MB
- 2. Repeatability and Reproducibility of Measurements - 6m 22s - 4.18 MB
- 3. Additive Nature of Measurement System Errors - 4m 25s - 4.62 MB
Supporting Media
Measurement Studies - Explain how a measurement systems analysis is designed and conducted
Instruction Videos
- 1. Example Analysis of a Measurement System - Part A - 2m 41s - 2.56 MB
- 2. Example Analysis of a Measurement System - Part B - 7m 14s - 6.85 MB
- 3. Example Analysis of a Measurement System - Part C - 5m 36s - 5.31 MB
- 4. Example Analysis of a Measurement System - Part D - 6m 23s - 6.05 MB
- 5. Example Analysis of a Measurement System - Part E - 9m 53s - 9.37 MB
Application Videos
- 6. Case Study for Conducting an MSA Study - Part A - 8m 19s - 8.43 MB
- 7. Case Study for Conducting an MSA Study - Part B - 4m 13s - 5.27 MB
Supporting Media
Design Principles - Understand the principles of experiment design and analysis
Instruction Videos
- 1. Nature and Purpose of Statistical Experiment Design - 4m 26s - 4.18 MB
- 2. Basic Idea of Quadratic Loss and Related Implications - 6m 35s - 6.24 MB
- 3. Linking Statistical Hypotheses to Designed Experiments - 7m 26s - 7.03 MB
- 4. Understanding How to Optimize Performance - Part A - 6m 13s - 5.89 MB
- 5. Understanding How to Optimize Performance - Part B - 3m 40s - 3.46 MB
- 6. Understanding How to Optimize Performance - Part C - 4m 14s - 3.99 MB
- 7. Practical Applications of Experiment Design Methods - 4m 27s - 4.20 MB
- 8. General Sequence for Planning and Executing a DOE - 6m 04s - 5.74 MB
Supporting Media
Design Models - Describe the various types of designed experiments and their applications
Instruction Videos
- 1. Primary Types of Experiment Design Models - Part A - 6m 55s - 6.55 MB
- 2. Primary Types of Experiment Design Models - Part B - 6m 23s - 6.03 MB
Supporting Media
Experimental Strategies - Outline a strategy for designing and analyzing a statistical experiment
Instruction Videos
- 1. Process for Executing a Designed Experiment - Part A - 6m 49s - 6.45 MB
- 2. Process for Executing a Designed Experiment - Part B - 10m 16s - 9.73 MB
- 3. Process for Executing a Designed Experiment - Part C - 4m 09s - 3.90 MB
Supporting Media
Experimental Effects - Define the various types of experimental effects and how they impact decisions
Instruction Videos
- 1. Visualization of Common Experimental Effects - Part A - 4m 24s - 4.16 MB
- 2. Visualization of Common Experimental Effects - Part B - 6m 46s - 6.39 MB
- 3. Concept and Implications of Confounding - Part A - 5m 25s - 5.15 MB
- 4. Concept and Implications of Confounding - Part B - 2m 09s - 2.05 MB
- 5. Concept and Implications of Experimental Blocking - 2m 45s - 2.63 MB
- 6. Relationship between Blocking and Randomization - 2m 57s - 2.82 MB
Supporting Media
One-Factor Two Level - Configure and analyze a one-factor two-level statistically based experiment
Instruction Videos
- 1. Nature and Purpose of a One-Factor Experiment - 7m 22s - 6.97 MB
- 2. Main Effects of a Single Factor Experiment - 4m 24s - 4.16 MB
- 3. Linkage of Statistical Tolerancing to DOE - Part A - 7m 14s - 6.85 MB
- 4. Linkage of Statistical Tolerancing to DOE - Part B - 2m 46s - 2.60 MB
- 5. Use of Regression for the Analysis of Experiments - 2m 39s - 2.53 MB
- 6. Treatment and Interpretation of Non-Linear Effects - 5m 35s - 5.30 MB
Application Videos
- 7. One-Way ANOVA Method Applied to DOE - Part A - 3m 30s - 3.56 MB
- 8. One-Way ANOVA Method Applied to DOE - Part B - 5m 05s - 4.87 MB
Supporting Media
One-Factor Multi Level - Configure and analyze a one-factor multi-level statistically based experiment
Instruction Videos
Application Videos
- 2. ANOVA Method for Multi-Level Designs - Part A - 5m 19s - 5.44 MB
- 3. ANOVA Method for Multi-Level Designs - Part B - 1m 25s - 1.63 MB
Supporting Media
Full Factorials - Understand the nature and underlying logic of full factorial experiments
Instruction Videos
- 1. Nature and Character of Full Factorial Experiments - 6m 49s - 6.46 MB
- 2. Full Factorial Design and Basic Experimental Effects - 6m 32s - 6.18 MB
- 3. Features and Benefits of Full Factorial Experiments - 6m 25s - 6.08 MB
Supporting Media
Two-Factor Two Levels - Configure and analyze a two-factor two-level statistically based experiment
Instruction Videos
- 1. Two-Factor Two-Level Experiment Design - Part A - 4m 44s - 4.47 MB
- 2. Two-Factor Two-Level Experiment Design - Part B - 3m 29s - 3.29 MB
- 3. Two-Factor Two-Level Experiment Design - Part C - 2m 54s - 2.75 MB
- 4. Calculation and Display of Key Experimental Effects - 5m 04s - 4.78 MB
- 5. Graphing and Interpretation of Main Effects - 4m 33s - 4.30 MB
- 6. Graphing and Interpretation of Interactions - Part A - 4m 58s - 4.71 MB
- 7. Graphing and Interpretation of Interactions - Part B - 4m 46s - 4.50 MB
- 8. Creation and Structure of a Two-Way ANOVA Table - 8m 22s - 7.94 MB
- 9. Discovering the Path-of-Steepest-Assent - Part A - 8m 13s - 7.78 MB
- 10. Discovering the Path-of-Steepest-Assent - Part B - 5m 43s - 5.41 MB
Expansion Videos
- 11. Use of DOE to Facilitate Team Decision Making - Part A - 3m 26s - 1.39 MB
- 12. Use of DOE to Facilitate Team Decision Making - Part B - 6m 00s - 4.68 MB
- 13. Use of DOE to Facilitate Team Decision Making - Part C - 3m 28s - 1.54 MB
- 14. Use of DOE to Facilitate Team Decision Making - Part D - 5m 04s - 2.88 MB
- 15. Use of DOE to Facilitate Team Decision Making - Part E - 4m 24s - 2.30 MB
- 16. Use of DOE to Facilitate Team Decision Making - Part F - 3m 22s - 2.30 MB
- 17. Use of DOE to Facilitate Team Decision Making - Part G - 6m 01s - 2.99 MB
- 18. Use of DOE to Facilitate Team Decision Making - Part H - 2m 39s - 1.29 MB
Application Videos
- 19. Contrast Method for Conducting an ANOVA - Part A - 9m 33s - 10.82 MB
- 20. Contrast Method for Conducting an ANOVA - Part B - 2m 55s - 3.62 MB
- 21. Generation of a Two-Factor Two-Level Design - Part A - 6m 17s - 6.92 MB
- 22. Generation of a Two-Factor Two-Level Design - Part B - 2m 32s - 2.88 MB
- 23. Analysis of a Replicated Two-Factor Experiment - 7m 48s - 8.90 MB
- 24. Analysis of an Unreplicated Two-Factor Experiment - 5m 31s - 5.42 MB
- 25. Catapult Case Study for a Two-Factor Experiment - 11m 40s - 8.88 MB
Supporting Media
Two-Factor Multi Level - Configure and analyze a two-factor multi-level statistically based experiment
Instruction Videos
Supporting Media
Three-Factor Two Level - Configure and analyze a three-factor two-level statistically based experiment
Instruction Videos
Application Videos
- 2. Design and Analysis of a Three-Factor DOE - Part A - 7m 03s - 7.38 MB
- 3. Design and Analysis of a Three-Factor DOE - Part B - 5m 49s - 5.95 MB
- 4. Design and Analysis of a Three-Factor DOE - Part C - 4m 09s - 5.64 MB
- 5. Creation and Application of an Outer Array - Part A - 3m 40s - 3.68 MB
- 6. Creation and Application of an Outer Array - Part B - 8m 23s - 10.11 MB
- 7. Use of Regression for Analyzing Experiments - Part A - 2m 29s - 2.91 MB
- 8. Use of Regression for Analyzing Experiments - Part B - 4m 33s - 5.88 MB
- 9. Expanding the Factorial Design Matrix - Part A - 1m 47s - 2.14 MB
- 10. Expanding the Factorial Design Matrix - Part B - 7m 56s - 8.38 MB
Supporting Media
Planning Experiments - Understand the planning and implementation considerations related to statistical experiments
Instruction Videos
- 1. Calculation and Implications of Sample Size in a DOE - 9m 47s - 6.46 MB
- 2. Process for Planning Statistical Experiments - Part A - 4m 32s - 4.28 MB
- 3. Process for Planning Statistical Experiments - Part B - 5m 32s - 5.23 MB
- 4. Process for Planning Statistical Experiments - Part C - 4m 32s - 4.29 MB
- 5. Process for Planning Statistical Experiments - Part D - 4m 54s - 4.64 MB
Supporting Media
Fractional Factorials - Understand the nature and underlying logic of fractional factorial experiments
Instruction Videos
- 1. Concept and Aims of Fractional Factorial Experiments - 5m 30s - 5.20 MB
- 2. Logic of the Fractional Factorial Design Matrix - 7m 19s - 6.94 MB
- 3. Three-Factor Fractional Factorial Experiments - Part A - 9m 07s - 8.65 MB
- 4. Three-Factor Fractional Factorial Experiments - Part B - 6m 20s - 6.02 MB
- 5. Concept and Implications of Design Resolution - Part A - 5m 01s - 4.74 MB
- 6. Concept and Implications of Design Resolution - Part B - 4m 10s - 3.94 MB
- 7. Concept and Implications of Design Resolution - Part C - 4m 01s - 3.80 MB
- 8. Concept and Implications of Design Resolution - Part D - 2m 57s - 2.78 MB
- 9. Concept and Implications of Design Resolution - Part E - 4m 40s - 4.40 MB
Application Videos
- 10. Generation of a Fractional Factorial Matrix - Part A - 8m 39s - 10.97 MB
- 11. Generation of a Fractional Factorial Matrix - Part B - 3m 12s - 3.40 MB
- 12. Generation of a Fractional Factorial Matrix - Part C - 2m 34s - 3.18 MB
- 13. Generation of a Fractional Factorial Matrix - Part D - 6m 05s - 7.49 MB
- 14. Execution of a Fractional Factorial Experiment - 7m 11s - 8.68 MB
Supporting Media
Four-Factor Half-Fraction - Configure and analyze a four-factor half-fraction statistically based experiment
Instruction Videos
- 1. Four-Factor Half-Fraction Design Matrix - Part A - 3m 35s - 3.39 MB
- 2. Four-Factor Half-Fraction Design Matrix - Part B - 5m 46s - 5.45 MB
Application Videos
Supporting Media
Five-Factor Half-Fraction - Configure and analyze a five-factor half-fraction statistically based experiment
Instruction Videos
Application Videos
- 2. Execution of Five-Factor Half-Fraction Design - Part A - 5m 05s - 5.42 MB
- 3. Execution of Five-Factor Half-Fraction Design - Part B - 3m 28s - 4.09 MB
- 4. Execution of Five-Factor Half-Fraction Design - Part C - 1m 52s - 2.06 MB
- 5. Catapult Case Study for the Five-Factor Design - Part A - 5m 05s - 7.07 MB
- 6. Catapult Case Study for the Five-Factor Design - Part B - 4m 29s - 2.28 MB
- 7. Catapult Case Study for the Five-Factor Design - Part C - 6m 27s - 4.46 MB
Supporting Media
Screening Designs - Understand how to select, implement, and analyze a screening experiment
Instruction Videos
Application Videos
- 2. Example Execution and Analysis of a Screening Design - Part A - 3m 24s - 3.62 MB
- 3. Example Execution and Analysis of a Screening Design - Part B - 4m 10s - 3.57 MB
Supporting Media
Robust Designs - Explain the purpose of robust design and define several practical usages
Instruction Videos
- 1. Nature and Purpose of Robust Design Methods - Part A - 5m 25s - 5.51 MB
- 2. Nature and Purpose of Robust Design Methods - Part B - 5m 36s - 5.69 MB
- 3. Nature and Purpose of Robust Design Methods - Part C - 2m 06s - 2.16 MB
- 4. Nature and Purpose of Robust Design Methods - Part D - 2m 47s - 2.85 MB
Application Videos
- 5. Execution and Analysis of a Robust Design - Part A - 4m 14s - 3.59 MB
- 6. Execution and Analysis of a Robust Design - Part B - 5m 29s - 4.51 MB
- 7. Execution and Analysis of a Robust Design - Part C - 6m 27s - 5.99 MB
- 8. Execution and Analysis of a Robust Design - Part D - 5m 19s - 3.22 MB
- 9. Execution and Analysis of a Robust Design - Part E - 6m 07s - 4.16 MB
- 10. Execution and Analysis of a Robust Design - Part F - 4m 44s - 5.14 MB
- 11. Execution and Analysis of a Robust Design - Part G - 8m 21s - 5.80 MB
- 12. Execution and Analysis of a Robust Design - Part H - 4m 22s - 4.36 MB
- 13. Execution and Analysis of a Robust Design - Part I - 7m 08s - 6.19 MB
- 14. Execution and Analysis of a Robust Design - Part J - 4m 30s - 3.66 MB
Supporting Media
Experiment Simulation - Describe how a DOE can be employed when measurement data is not available
Application Videos
Measurement Uncertainty - Understand the concept of measurement uncertainty
Instruction Videos
- 1. Nature and Meaning of Measurement Uncertainty - 5m 23s - 5.10 MB
- 2. Purpose of a Measurement Systems Analysis (MSA) - 7m 06s - 6.73 MB
- 3. Primary Elements of Measurement System - 3m 14s - 3.05 MB
Supporting Media
Measurement Components - Describe the components of measurement error and their consequential impact
Instruction Videos
- 1. Categories of Measurement System Error - 4m 55s - 6.03 MB
- 2. Repeatability and Reproducibility of Measurements - 6m 22s - 4.18 MB
- 3. Additive Nature of Measurement System Errors - 4m 25s - 4.62 MB
Supporting Media
Measurement Studies - Explain how a measurement systems analysis is designed and conducted
Instruction Videos
- 1. Example Analysis of a Measurement System - Part A - 2m 41s - 2.56 MB
- 2. Example Analysis of a Measurement System - Part B - 7m 14s - 6.85 MB
- 3. Example Analysis of a Measurement System - Part C - 5m 36s - 5.31 MB
- 4. Example Analysis of a Measurement System - Part D - 6m 23s - 6.05 MB
- 5. Example Analysis of a Measurement System - Part E - 9m 53s - 9.37 MB
Application Videos
- 6. Case Study for Conducting an MSA Study - Part A - 8m 19s - 8.43 MB
- 7. Case Study for Conducting an MSA Study - Part B - 4m 13s - 5.27 MB