For two-tailed tests, the greater the difference between the actual mean and the hypothesized mean the greater the power of the test.

Question

For two-tailed tests, the greater the difference between the actual mean  and the hypothesized mean  the greater the power of the test.

Quizplus · Accepted Answer

A larger difference between the actual mean and the hypothesized mean increases the distance between the two possible null and alternative distributions, which increases the likelihood of rejecting the null hypothesis and therefore increases the power of the test. This is true because a larger difference between the actual mean and the hypothesized mean results in a larger effect size, which in turn increases the power of the test.

For Two-Tailed Tests, the Greater the Difference Between the Actual