The Power of a Test Is the Probability That It

Short Answer

The power of a test is the probability that it will lead us to: $\begin{array}{|l|l|}\hline A.&\text {reject the null hypothesis when it is true. }\\\hline B.&\text {reject the null hypothesis when it is false. }\\\hline C.&\text {fail to reject the null hypothesis when it is true. }\\\hline D.&\text { fail to reject the null hypothesis when it is false. }\\\hline \end{array}$