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## Statistics- A marketing researcher wants to estimate the mean savings

1.A marketing researcher wants to estimate the mean savings (\$) realized by shoppers who showroom. Showrooming is the practice of inspecting products in retail stores and then purchasing the products online at a lower price. You want to test whether the population mean savings for all showroomers who purchased a consumer electronics item is different from \$50.1. The Type I error in the context of this question is_____________A. The population mean saving for all showroomers who purchased a consumer electronics item is different from 50\$.B. The population mean saving for all showroomers who purchased a consumer electronics item is not different from 50\$.C. The population mean saving for all showroomers who purchased a consumer electronics item is different from 50\$ and you conclude that it is not.D. The population mean saving for all showroomers who purchased a consumer electronics item is not different from 50\$ and you conclude that it is.2.The Type II error in the context of this question is____________A. The population mean saving for all showroomers who purchased a consumer electronics item is different from 50\$.B. The population mean saving for all showroomers who purchased a consumer electronics item is not different from 50\$.C. The population mean saving for all showroomers who purchased a consumer electronics item is different from 50\$ and you conclude that it is not.D. The population mean saving for all showroomers who purchased a consumer electronics item is not different from 50\$ and you conclude that it is.2.A manufacturer of chocolate candies uses machines to package candies as they move along a filling line. Although the packages are labeled as 8 ounces, the company wants the packages to contain a mean of 8.17 ounces so that virtually none of the packages contain less than 8 ounces. You want to test whether the population mean amount is different from 8.17 ounces.Suppose the p-value of the evidence for this test is 0.32. Using a 0.10 level of significance, your decision for the test should be to_________A. to reject the null hypothesisB. to not reject the null hypothesisC. to accept the null hypothesisD. reject the alternative hypothesis

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