The owner of a chain of mini-markets wants to compare the sales performance of two of her stores, Store 1 and Store 2. A
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The owner of a chain of mini-markets wants to compare the sales performance of two of her stores, Store 1 and Store 2. A
The owner of a chain of mini-markets wants to compare the sales performance of two of her stores, Store 1 and Store 2. After choosing 14 days at random, she records the sales (in dollars) at Store 1 for these days. Then, she records the sales at Store 2 for these same days. The data and the differences (Store 1 minus Store 2) are shown in the table below. Day 1 2 3 4 5 6 7 8 9 9 10 11 12 13 14 Store 1 979 589 490 670 341 718 442 531 436 748 950 311 578 452 628 932 418 783 Store 2 328 710 569 657 452 796 840 498 660 419 72 47 - 113 -39 13 8 - 127 -126 -16 33 110 187 -48 -82 Difference (Store 1 - Store 2) Sond data to calculator Assume that the population of these differences in daily sales (Store 1 minus Store 2) is approximately normally distributed. Construct a 99% confidence interval for the population mean difference in daily sales between the two stores. Then find the lower and upper limits of the 99% confidence interval. Carry your intermediate computations to three or more decimal places. Round your answers to two or more decimal places (IT necessary, consult a list of Mormulas.) х $ Lower limit: 0 Upper limit:
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