The power of a test is the probability that we _____ the null hypothesis when the alternative hypothesis is _____.
A)reject.false
B)reject.true
C)accept,false
D)accept,true

Question

Quizplus · Accepted Answer

The power of a test is defined as the probability of correctly rejecting the null hypothesis when the alternative hypothesis is true. This means we are able to detect an effect or difference when one truly exists.

The Power of a Test Is the Probability That We