Type II error is typically greater for two-tailed hypothesis tests than for one-tailed tests.

Question

Quizplus · Accepted Answer

A Type II error, or the probability of failing to reject a false null hypothesis, is not inherently greater for two-tailed tests compared to one-tailed tests. The distinction primarily affects the distribution of the critical region(s) for rejecting the null hypothesis, not directly the probability of a Type II error, which also depends on the actual effect size, sample size, and chosen significance level.

Type II Error Is Typically Greater for Two-Tailed Hypothesis Tests