The Difference Between the T Test and the F Test

Multiple Choice

The difference between the t test and the F test is that

A) the t test is used to compare two group means, whereas the F test is used to compare any number of means.
B) the t test is used in calculating the ANOVA, whereas the F test is used in calculating the correlation coefficient.
C) the t test compares means, whereas the F test compares correlations.
D) only the t test is used for descriptive analyses.