The ability to reject the null hypothesis given that the null hypothesis is false is:
A) a Type II error.
B) statistical power.
C) a false alarm.
D) a Type I error.

Question

Quizplus · Accepted Answer

Statistical power refers to the ability to detect a significant difference or effect when one truly exists, meaning the null hypothesis is false. Therefore, statistical power is the ability to reject the null hypothesis in these situations. A Type II error occurs when the null hypothesis is false but is not rejected, a false alarm refers to a Type I error where the null hypothesis is wrongly rejected when it is actually true.

The Ability to Reject the Null Hypothesis Given That the Null