If = 15, n = 25, and we are testing H0: = 100 versus H1:

If σ = 15, n = 25, and we are testing H0: µ = 100 versus H1: µ > 100, what value of the mean under H1 would result in power being equal to the probability of a Type II error? This is most easily solved by sketching the two distributions. Which areas are you trying to equate?)