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:

- In the Summary view, use the confidence slider to choose a desired confidence level
- Choose the numeric column of interest on the left
- Choose a category column that takes two values in the Covariate table
- Click the button labeled
*t-test*below the Covariate view - 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