# 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 hypothesis

B. to not reject the null hypothesis

C. to accept the null hypothesis

D. reject the alternative hypothesis

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