T-tests

Start with the ideas

Begin with the note on type I error, which describes incorrectly finding a significant effect. Another note presents a t-test as a way to compare the means of two samples and discusses estimated standard error. Together, these notes provide a starting point for reading the other resources on this page.

The note on the difference between group means also brings variance and standard error into the discussion. You can return to these terms as you work through the maps and flashcards.

Compare test types

The mind map on unrelated and related t-tests puts independent and paired samples alongside one another. Another map covers comparing a single sample with a reference mean and using sample standard deviation to estimate population standard deviation. Use the maps to organize the different test types before checking the terms in the flashcards.

The flashcard deck on paired and unpaired designs asks when a paired t-test would be used and how to find a t value. The deck on independent-samples t-tests and the deck on related t-tests give you further material to study by test type.

Check your understanding

Introduction to T-test asks about the data you have and the type of test being used. Try it after looking at the maps, then return to the relevant map or notes when you want to go over a distinction again. The map Applying statistical techniques also raises the question of why statistical tests are used.

T-tests is one section of the unit Common Statistical Tests (t-tests, Chi-Square, Non-parametric) in Statistics and probability. Use this page to focus on the t-test resources within that unit. When you are ready, choose a resource and work through it at your own pace.