AI engineering glossary · Statistics inference
What is two-sample t-test?
Two-sample t-test: A hypothesis test that asks whether the averages of two independent groups differ by more than chance would explain. It compares the observed gap in averages with the standard error of that gap.
Two-sample t-test: an example
Compare average session time of 30 users shown design A with 30 different users shown design B.
Related terms
More Statistics inference terms
- Type I error
- Type II error
- Unbiased estimator
- Welch's t-test
- Wilcoxon signed-rank test
- Z-test
- A/B test
- Adjusted R-squared
Where you learn it
Two-sample t-test is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.