When comparing more than two treatment means, why should you use an analysis of variance instead of using several t tests?
A)Using several t tests increases the risk of a Type I error.
B)Using several 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 several t tests.

Question

Quizplus · Accepted Answer

Using several t tests increases the risk of a Type I error because each test carries its own chance of error, compounding the overall risk. Analysis of variance (ANOVA) controls this risk by testing all means simultaneously.

When Comparing More Than Two Treatment Means, Why Should You