The VSNi Team
13 June 2022Imagine we are interested in whether female undergraduate students with blonde or brown hair have different heights, on average. To investigate this, we randomly sample blonde and brown haired female undergraduate students and measure their height.
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Assumptions | Student’s t-test | Welch’s t-test |
Two independent, random samples | ||
The two populations have Normal distributions | ||
The variances of the two populations are equal |
If the sample sizes are unequal between the two groups, Welch's t-test performs better than Student's t-test.
If you have | Use |
Unequal sample variances and/or unequal sample sizes | Welch's t-test (also known as the unequal variances t-test) performs better (i.e., is more reliable) than Student’s t-test |
Equal population variances and equal sample sizes | Student's t-test has more power than Welch's t-test |
Performing a Student’s t-test or Welch’s t-test in Genstat is straightforward.
From the menu bar, select Stats | Statistical tests | One- and two-sample t-tests. Then, in the T-Tests menu, set the type of test to Two-sample.
We can run a Student’s t-test by clicking the Options button, then selecting Pooled as the method used to estimate the variances for the test.
To run a Welch’s t-test, in the T-Test Options menu select Separate as the method used to estimate the variances for the test.
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