The power of the test is: A. the probability of rejecting a true null hypothesis. B. equal to the level of confidence. C. the probability of rejecting a false null hypothesis.
This is the definition of the power of the test: the probability of correctly rejecting the null hypothesis (rejecting the null hypothesis when it is false).
