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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. Sales can vary considerably depending on the day of the week and the season of the year, so she decides to eliminate such effects by making sure to record each store's sales on the same sample of days. After choosing a random sample of 12 days, she records the sales (in dollars) for each store on these days, as shown in Table 1. Difference Day Store 1 |Store 2 (Store 1 - Store 2) 684 529 155 701 452 249 3 260 163 97 4 573 547 26 5 670 552 1 18 6 933 354 79 7 230 196 34 8 394 145 149 9 360 413 53 10 505 192 13 11 317 20 297 12 512 424 88 Table 1 Based on these data, can the owner conclude, at the 0.10 level of significance, that the mean daily sales of the two stores differ? Answer this question by performing a hypothesis test regarding My (which is H with a letter "d" subscript), the population mean daily sales difference between the two stores. Assume that this population of differences (Store 1 minus Store 2) is normally distributed Perform a two-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.) The null hypothesis: Ho : DI O X S The alternative hypothesis: | H, : ] The type of test statistic: (Choose one) ] =0 OSO 020 The value of the test * 0 statistic: (Round to at least three 0 decimal places. X 5 ? The two critical values at the 0.10 level of significance: [ and ] (Round to at least three decimal places.) At the 0.10 level, can the owner conclude that the mean daily sales of the two stores differ? O Yes O No