The power of a test is measured by its capability of:

A) rejecting a null hypothesis that is true.
B) not rejecting a null hypothesis that is true.
C) rejecting a null hypothesis that is false.
D) not rejecting a null hypothesis that is false.

Null Hypothesis

A statement used in statistical testing that proposes there is no significant effect or difference, and any observed variation is due to chance.

Power of a Test

The power of a test refers to the probability that the test correctly rejects a false null hypothesis, essentially measuring the test's ability to detect an effect or difference when there is one.

Rejecting

The act of dismissing the null hypothesis when the evidence suggests it's unlikely to be true.