Retailers such as Guess & Staples are employing new technology to track down on "serial exchangers" - customers who abuse their return and exchange policies. The historical return rate for merchandise at department stores is 13 percent. At one department store, after implementing the new software, there were 21 returns in a sample of 250 purchases. At a .05 level of significance, does this sample show that the true return rate is different than the historical value? Show all your work. Answer the following questions. a) What is the population being studied? b) Define the population percentage being tested. c) What is the sample percentage? d) Setup the null and alternative hypotheses. e) Run the test using a test statistic / rejection region. Show all your work! f) What is your conclusion? g) What is the p-value. It should agree with e) above. Does it? Why