A marketing researcher wants to estimate the mean savings ($)

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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