The data set Advertising $ (on Canvas under data files) contains the annual advertising expenditures (in millions) for a sample of companies in the automotive sector and in the department store sector. Use this data set and Minitab to answer the following questions (assume the population is normally distributed):

a. Describe the target population(s). b. Briefly describe a possible sampling frame. c. What are the sample mean, standard deviation, median, minimum, and maximum for each sector? Use Minitab and paste only these descriptive statistics. d. Find the best point estimate of the population mean advertising spend for each sector. e. Find the best estimate of the population mean advertising spend for each sector. (Be 95% confident of the answer you give.) Use Minitab and paste your output below. f. Interpret your estimations in part e. g. Does the assumption of normality for the population appear to be justified in this case? Why or why not? Paste the graph used to answer this question. h. For your solution to part (f), do you have to assume that each population is normally distributed in order to have confidence in the confidence intervals? Why or why not? i. Is there a sampling error present? If so, why? If not, why not? j. Explain why the margins of error are different for the automotive sector compared to the department store sector in this data set. k. How can the margin of error be reduced?

Data set Advertising from Minitab below:

Automotive	Department Store
2366	448
1573	472
3564	622
2058	746
2254	629
2014	669
2526	1050
1781	1513
1512	714
2166	503
2008	782
598	824
1798	901
2024	574
2602	598
1745	589
2531	597
1720	985
2901	906
2965	858
1805	803
1636	748
1704	658
2654	984
1796	756
1965	745
2547	562