When comparing more than two treatment means,why should you use an analysis of variance instead of using multiple t tests?
A)Using multiple t tests increases the risk of a Type I error.
B)Using multiple t tests increases the risk of a Type II error.
C)The analysis of variance is more likely to detect a treatment effect.
D)There is no advantage to using an analysis of variance instead of multiple t tests.

Question

Quizplus · Accepted Answer

Using multiple t tests increases the risk of a Type I error, meaning it is more likely to reject the null hypothesis when it is actually true. An analysis of variance controls the overall Type I error rate and is a more efficient way to compare multiple treatment means.

When Comparing More Than Two Treatment Means,why Should You Use