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Customers of Lands Beginning, a major clothing retailer, can place orders via telephone or via a web site. Management would like to know if there is a difference in the level of customer satisfaction with the ordering process, depending on how the order was placed. Let ï°1 represent the proportion of telephone-order customers who are ‘highly satisfied’ with the ordering process, and let ï°2 represent the proportion of web-order customers who are ‘highly satisfied.’ Management wishes to test H0: ï°1 = ï°2 vs. H1: ï°1 ≠ï°2. A sample of 200 phone-order customers is taken, and 188 state that they are highly satisfied. A sample of 220 web-order customers is taken, and 209 state that they are highly satisfied. 1. The test statistic for testing H0 vs. H1 is equal to: Crank out the z-statistic for comparing proportions. A B C D E F G H I -1.98 -0.45 -0.24 1.04 1.26 1.88 2.09 2.98 4.28 2. At the ï¡ = 0.05 level of significance, this test would reject the null hypothesis if: Reject in the upper or lower 2.5% tails of the z-distribution. (a) z > 1.28 (b) z > 1.645 or z < -1.645. (c) z < -1.645. (d) z > 2.33. (e) z > 1.96 or z < -1.96 (f) z > 2.576 or z < -2.576 3. It is becoming more common for bank customers to do the majority of their banking activities on the web. A major bank is interested in testing a manager’s claim that customers who do their banking on the web have, on average, higher checking account balances than customers who bank in person. Let ï1 represent the population mean account balance for web banking customers, and let ï2
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