Aretailer maintains a web site that it uses to attract shoppers. the average purchase amount is $80. the retailer is evaluating a new web site that would, it hopes, encourage shoppers to spend more. let μ represent the average amount spent per customer at its redesigned web site. 11. the appropriate null hypothesis for testing the probability of the new design is h0: μ≤ 80. 12. if the α-level of the test is 0.05, then there is at most a 5% chance of incorrectly rejecting h0. 13. if the p-value of the test of h0 is less than α, then the test has produced a type ii error. 14. if the test used by the retailer rejects h0 with the α-level set to 0.05, then it would also reject h0 with the α= 0.01. 15. the larger the sample size used to evaluate the new design, the smaller the chance for a type ii error. 16. if the t-statistic rejects h0, then we would also reject h0 had we obtained the p-value using a normal distribution rather than a t distribution.