Power For a hypothesis test with a specified significance level

a, the probability of a type I error is

a, whereas the probability b of a type II error depends on the particular value of p that is used as an alternative to the null hypothesis.

a. Using an alternative hypothesis of p 6 0.4, using a sample size of n = 50, and assuming that the true value of p is 0.25, find the power of the test. See Exercise 34 “Calculating Power”

in Section 8-1. [Hint: Use the values p = 0.25 and pq>n = 10.25210.752>50.4

b. Find the value of

b, the probability of making a type II error.

c. Given the conditions cited in part (a), find the power of the test. What does the power tell us about the effectiveness of the test?