Topics

The Chi-Square Methods topic will provide the participant with the knowledge and skills necessary to employ several key forms of the chi-square statistic. Of interest, the chi-square test is any statistical hypothesis test in which the test statistic has a chi-square distribution, given that the null hypothesis is true. This test statistic is often employed to determine the underlying distribution of a product or service performance variable or estimate the extent of association between one categorical variable and another. It is also a foundational statistic when conducting survey-based investigations and research, such as customer satisfaction analyses.

In this sense, the chi-square statistic is a highly versatile tool that has many applications in the commercial and industrial world of business. As such, it represents a foundational tool for anyone involved with quality improvement activities that are dependent upon the analysis of frequencies and proportions, such as comparing the before-and-after defect rate of a product, service or transaction.

Reinforcement of major concepts, techniques, and application is realized through exercises, scenarios, and case studies. The following prerequisite topics are listed in sequential learning order: Basic Statistics and Hypothesis Testing. Total instructional time for this topic is 3 hours and 19 minutes.