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As the new manager of a small convenience store, you want to understand the shopping patterns...

  1. As the new manager of a small convenience store, you want to understand the shopping patterns of your customers. You randomly sample 20 purchases from yesterday’s records (all purchases in U.S. dollars):

39.05 2.73 32.92 47.51 37.91 34.35 64.48 51.96 56.95 81.58 47.80 11.72 21.57 40.83 38.24 32.98 75.16 74.30 47.54 65.62

  1. Find the sample mean and the standard deviation.
  2. What is the standard error of the mean?
  3. Construct a 90% confidence interval for the mean age of all customers, assuming that the distribution of age is normal.
  4. How large is the margin of error
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Answer #1

Solution: The data given in the question statement is as below. Computing an additional column: Sr. No Age 39.05 2.73 32.92 47.51 37.91 34.35 64.48 51.96 56.95 81.58 47.80 11.72 21.57 40.83 38.24 32.98 75.16 74.30 47.54 65.62 38.564 1808.801 152.276 5.063 54.023 119.028 369.408 44.890 136.656 1319.142 6.452 1124.93.2 561.216 19.625 49.280 150.798 894.010 843.322 5.198 414.530 Σ(X-X)--8117.213 2 4 6 8 10 12 13 14 15 16 17 18 19 20 x = 905.20Sample size = n Part-A: Sample mean 20 905.20 = 45.26 Sample Standard Deviation: 8117.213 20120.669 Part-B: Standard error of90% confidence interval for mean age: Lower Limit of 90% confidence interval = 45.26-7.992 = 37.268 Upper Limit of 90% confidence interval-45.26 + 7.992 53.252 Part-D: As calculated above, margin of error- 7.992

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