For an experiment comparing more than two treatment conditions, why should you use analysis of variance rather than separate t tests?
A) Separate t tests would require substantially more computations.
B) A test based on variances is more sensitive than a test based on means.
C) Conducting several t tests would inflate the risk of a Type I error.
D) There is no difference between the two tests, you can use either one.

Question

Quizplus · Accepted Answer

Conducting several t tests would increase the overall risk of committing a type I error. Analysis of variance (ANOVA) is a statistical test that uses the variance to compare more than two treatment conditions simultaneously, thus reducing the risk of a type I error. Additionally, ANOVA can indicate not only if there is a significant difference between groups, but also which specific groups are significantly different from each other.

For an Experiment Comparing More Than Two Treatment Conditions, Why