The major difference between t tests and the analysis of variance is that the latter
A) deals with multiple groups.
B) compares group variances.
C) makes different assumptions about the populations from which we sample.
D) none of the above

Question

Quizplus · Accepted Answer

The analysis of variance deals with multiple groups, while t tests compare only two groups. Option B is incorrect because while ANOVA does involve comparing variances, it is not the primary focus. Option C may be true, but it does not capture the key difference between t tests and ANOVA.

The Major Difference Between T Tests and the Analysis of Variance