# 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