A bank has a policy that the proportion of loans made to people with more than $50,000 in debt should not be more than 0.15. The bank checks a randomly chosen sample of 75 customer's debt amounts to determine if the proportion is more than 0.15 at a significance level of 0.05. Use Sheet 2 of the Excel file, which gives the customer's debt amounts for the 75 people in the sample, to calculate p^, the z-score, and the p-value.   p^= z= p=   Since the p-value is (less or greater?) than the significance level 0.05, the null hypothesis (is rejected or fails to be rejected?). (Sufficient or insufficient?) evidence exists that the proportion of loans to people with more than $50,000 in debt is more than 0.15.   Chart: 51539.29919 8052.016591 35716.31651 37010.68615 31172.5786 31088.99026 20288.64299 52734.51646 -5422.706014 128.8534293 48485.9593 30025.21757 19891.47232 26803.72091 51758.66724 88069.44647 51200.96717 34994.21226 20571.92917 51976.89938 4703.651572 47336.17208 44720.10297 29360.12547 34616.27351 1017.557502 47474.0926 60065.8519 13371.59926 23704.18652 19126.3776 62162.22339 48230.8969 20272.32811 60161.59658 29444.76198 44479.55104 6768.065853 19667.51704 32922.45117 90692.2755 44316.06317 28841.62637 43494.54116 10604.87441 7064.773213 31668.88433 10825.55844 50646.80234 30806.62003 56348.36418 628.1745048 20646.31227 49066.35498 34841.71043 25866.6015 20601.17964 34887.22349 20777.51475 31237.39411 51193.98898 56770.12037 54597.87126 39467.21661 29068.49913 18234.09347 -6643.530219 17241.41923 3254.458632 50951.65933 41832.57903 42992.04916 55095.86621 19057.20606 42923.48012

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