Performing a t-test of a numeric column’s mean across two categories

A two-sample t-test indicates whether a numeric column’s mean appears to differ across two categories. It is equivalent to an ANOVA test, which is a generalization of the two-sample t-test to more than two categories.

To perform a two-sample t-test:

1. In the Summary view, use the confidence slider to choose a desired confidence level
2. Choose the numeric column of interest on the left
3. Choose a category column that takes two values in the Covariate table
4. Click the button labeled t-test below the Covariate view
5. The result of the two-sample t-test will appear in the Bottom Line

See also:

• Performing an unpaired t-test of two numeric columns’ means
• Performing a paired t-test of two numeric columns’ means
• Performing an ANOVA test of a numeric column’s mean across values of another column
• Performing a Mann-Whitney test of a numeric column’s median across two categories
• Performing a Kolmogorov-Smirnov test of a numeric column’s distribution across values of another column
• Viewing the correlation coefficient between two numeric columns
• Formatting descriptive and inferential statistics
• About the Summary view

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