We perform ANOVA instead of multiple t-tests because with ANOVA the experimentwise error rate will
A)be much less than $\alpha$.
B)be much larger than$\alpha$.
C)change with each new significance test.
D)be equal to$\alpha$.

Question

Quizplus · Accepted Answer

ANOVA controls the experimentwise error rate at the desired alpha level (e.g., 0.05), unlike multiple t-tests which increase the error rate with each additional test.

We Perform ANOVA Instead of Multiple T-Tests Because with ANOVA α\alphaα

We Perform ANOVA Instead of Multiple T-Tests Because with ANOVA $\alpha$