Exercise

Difference between t-tests and ANOVA

ANOVA, short for ANalysis Of VAriance, is a commonly used test in basic statistics that compares group means, just like the t-test. But what exactly is the difference between a t-test and ANOVA?

Instructions

50 XP

Possible answers

A t-test is used when more than two group means are compared, whereas ANOVA can only compare two group means.

ANOVA is used when more than two group means are compared, whereas a t-test can only compare two group means.

A t-test is only used for independent group means, whereas ANOVA is used to compare dependent group means.

ANOVA is only used for independent group means, whereas a t-test is used to compare dependent group means.