When multiple tests are done in analysis of variance, the family error rate is
A) the smallest p-value among the tests in the set.
B) the probability of making one or more type 2 errors among the tests.
C) the probability of not rejecting the null hypothesis when the null hypothesis is true.
D) the probability of making one or more type 1 errors among the tests.

Question

Quizplus · Accepted Answer

The family error rate refers to the probability of making one or more Type I errors (false positives) when performing multiple hypothesis tests. Each test has its own Type I error rate, and when multiple tests are conducted, the chance of incorrectly rejecting at least one true null hypothesis across all tests increases, which is what the family error rate represents.

When Multiple Tests Are Done in Analysis of Variance, the Family