When the Alternative Hypothesis Is True, Which One of These

Multiple Choice

When the alternative hypothesis is true, which one of these statements about the power of a significance test is correct?

A) The smaller the difference between the true and null values of a parameter, the larger the power.
B) The power of a test is the probability of a Type 1 error
C) The larger the sample size, the smaller the power of significance test.
D) The power of a test is the probability of not making a Type 2 error