No. PZ2018062016000129(multiple choice)
Source: article title
Which of the following statements on the power of a test is most correct?
A
The power of a test is the probability of making a Type I error.
B
The power of a test is the probability of not making a Type II error.
C
The power of a test has a negative effect with the sample size.
B is correct. The power of a hypothesis test is the probability of not making a Type II error and it has a positive effect with the sample size.
