Performing a chi-square test of a category column’s independence from another category column

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:

1. In the Summary view, use the confidence slider to choose a desired confidence level
2. Choose the category column of interest on the left
3. Choose the category column of interest in the Covariate table
4. 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

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