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.

Question

Quizplus · Accepted Answer

The t test is primarily used for comparing the means between two groups, while the F test, particularly in the context of ANOVA (Analysis of Variance), is used to compare the means across three or more groups. This distinction highlights the different applications of these statistical tests based on the number of groups or conditions being compared.

The Difference Between the T Test and the F Test