differences between t-test and anova
Anova vs T-test. A T-test, sometimes called the Studentâs T-test, is conducted when you want to compare the means of two groups and see whether they are different from each other. It is mainly used when a random assignment is given and there are only two, not more than two, sets to compare.
The Anova test is the popular term for the Analysis of Variance. It is a technique performed in analyzing categorical factors effects. This test is used whenever there are more than two groups. They are basically like T-tests too, but, as mentioned above, they are to be used when you have more than two groups.