Hi, I have one multiple choice question.

When you are designing a research study and considering what hypothesis test you might use, a common rule of thumb is to select the most powerful test. Why is this a good idea?

a. The most powerful test is the test most likely to get the right answer.

b. The most powerful test is the test most likely to result in a type II error.

c. The most powerful test is the test least likely to fail to reject the null hypothesis when it is false.

d. The most powerful test is the most likely to not reject the null hypothesis when it is true.

Thanks! (Brief explanation will be very helpful to me.)