(Step-by-Step) The management of a chain of package delivery stores wanted to predict weekly sales (in thousands of dollars) for individual stores based
Question: The management of a chain of package delivery stores wanted to predict weekly sales (in thousands of dollars) for individual stores based on the number of customers who made purchases. A random sample of 20 stores was selected, with the following results:
| Customer | Sales |
| 907 | 11.20 |
| 926 | 11.05 |
| 506 | 6.84 |
| 741 | 9.21 |
| 789 | 9.42 |
| 889 | 10.08 |
| 874 | 9.45 |
| 510 | 6.73 |
| 529 | 7.24 |
| 420 | 6.12 |
| 679 | 7.63 |
| 872 | 9.43 |
| 924 | 9.46 |
| 607 | 7.64 |
| 452 | 6.92 |
| 729 | 8.95 |
| 794 | 9.33 |
| 844 | 10.23 |
| 1010 | 11.77 |
| 621 | 7.41 |
- Set up a 95% confidence interval estimate of the average weekly sales for all stores that have 600 customers.
- Set up a 95% prediction interval estimate of the weekly sales of an individual store that has 600 customers.
- Explain the difference in the results obtained in (a) and (b).
- Repeat (b) for 730 customers.
- Explain the difference in the results obtained in (b) and (d).
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