You cannot test the first two of these assumptions with Minitab because they relate to your study design and choice of variables. The paired t-test has four "assumptions".
However, before we introduce you to this procedure, you need to understand the different assumptions that your data must meet in order for a paired t-test to give you a valid result.
MINITAB TUTORIAL HOW TO
In this guide, we show you how to carry out a paired t-test using Minitab, as well as interpret and report the results from this test. Alternately, you could use a paired t-test to understand whether there is a difference in athletes' 100m sprint times when using a protein supplement compared to not using a supplement (i.e., the dependent variable would be "100m sprint time", and the two related groups would be the two different "conditions" participants were exposed to that is, 100m sprint times when taking the protein supplement (condition A) compared 100m sprint times when not taking a supplement (condition B)). The paired t-test (also known as the paired-samples t-test or dependent t-test) determines whether there is a statistically significant difference in the mean of a dependent variable between two related groups.įor example, you could use a paired t-test to determine whether there is a difference in students' test anxiety before and after undergoing a hypnotherapy programme designed to reduce stress (i.e., the dependent variable would be "test anxiety", and the two related groups would be the two different "time points" that is, test anxiety "before" and "after" undergoing the hypnotherapy programme).