A chi-square test indicates whether the values of a category column appear to be related to the values of another category column.

To perform an chi-square test of independence:

- In the Summary view, use the confidence slider to choose a desired confidence level
- Choose the category column of interest on the left
- Choose the category column of interest in the Covariate table
- The result of the chi-square test will appear in the Bottom Line

See also:

- Performing a chi-square test of two or more category columns’ distributions
- Performing a McNemar test for the marginal homogeneity of two category columns that are matched or related
- Performing a Cochran’s Q test for the marginal homogeneity of three or more binary columns that are matched or related
- Formatting descriptive and inferential statistics
- Viewing the estimated population of a category column broken down by values of another column
- About the Summary view