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The economic return to earning an MBA. Refer to the International Economic Review (August 2008) study on the economic rewards to obtaining an MBA degree, Exercise 1.27 (p. 51). Job status information was collected for a sample of 3,244 individuals who sat for the GMAT in each of four time periods (waves). Summary information (number of individuals) for Wave 1 (at the time of taking the GMAT) and Wave 4 (7 years later) is provided in the accompanying table. Use a graph to compare and contrast the job status distributions of GMAT takers in Wave 1 and Wave 4.

Job Status

Wave 1

Wave 4

Working, No MBA

2,657

1,787

Working, Have MBA

0

1,372

Not Working, Business School

0

7

Not Working, Other
Graduate School

36

78

Not Working, 4-Year
Institution

551

0

Total

3,244

3,244

Short Answer

Expert verified

Job-status distribution refers to the job statuses of every aspirant taken into consideration. In this context, different statuses have been taken into consideration. A total of 5 combinations are taken into consideration to find out how many individuals fall in which category.

Step by step solution

01

Explaining Job-status distribution

Job-status distribution refers to the job statuses of every aspirant taken into consideration. In this context, different statuses have been taken into consideration. A total of 5 combinations are taken into consideration to find out how many individuals fall in which category.

02

Describing the bar graph

In the bar graph, the blue bars represent the values of Wave 1, and the pink bars represent the values of Wave 4. In the case of Wave 1, the number of individuals working without an MBA and not working while studying in an institution is more than that of in Wave 4.From here, it can be envisaged that during the time of Wave 1, the individuals were mainly focussing on studies, but during Wave 4, more individuals are observed to be maintaining an income source.

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Most popular questions from this chapter

Hotels鈥 use of ecolabels.Ecolabels such as Energy Star, Green Key, and Audubon Internationalare used by hotels to advertise their energy-saving and conservation policies. The Journal of Vacation Marketing(January 2016) published a study to investigate how familiar travelers are with these ecolabels and whether travelers believe they are credible. A sample of 392 adult travelers were administered a questionnaire. One question showed a list of 6 different eco-labels, and asked, 鈥淗ow familiar are you with this ecolabel, on a scale of 1 (not familiar at all) to 5 (very familiar).鈥 Summarized results for the numerical responses are given in the table.

a.Give a practical interpretation of the mean response for Energy Star.

b.Give a practical interpretation of the median response for Energy Star.

c.Give a practical interpretation of the response mode for Energy Star.

d.Based on these summary statistics, which ecolabel appears to be most familiar to travelers?

Ecolabel

Mean

Median

Mode

Energy Star

4.44

5

5

TripAdvisor

3.57

4

4

Green Leaders Audubon

2.41

2

1

International U.S Green

2.28

2

1

Building Council Green Business

2.25

2

1

Green Key

2.01

1

1

Question: Lobster trap placement.The strategic placement of lobster traps is one of the keys to a successful lobster fisherman. An observational study of teams fishing for the red spiny lobster in Baja California Sur, Mexico, was conducted and the results were published in the Bulletin of Marine Science(April 2010). Two variables measured for each of eightteams from the Punta Abreojos (PA) fishing cooperativewere y= total catch of lobsters (in kilograms) during theseason and x= average percentage of traps allocated perday to exploring areas of unknown catch (called search frequency).These data are listed in the next table. Graph

the data in a scatterplot. What type of trend, if any, do you observe?

Total Catch

Search Frequency

2785

35

6535

21

6695

26

4891

29

4937

23

5727

17

7019

21

5735

20

Calculate the variance and standard deviation for samples where

a.n= 10, 鈭x2 = 84, 鈭x= 20

b.n= 40, 鈭x2 = 380, 鈭x= 100

c.n= 20, 鈭x2 = 18, 鈭x= 17.

Calculate the mean for samples where

a.n=10,x=25b.n=16,x=400c.n=45,x=35d.n=18,x=242

Salary offers to MBAs.Consider the top salary offer (in thousands of dollars) received by each member of a sample of 50 MBA students who graduated from the Graduate School of Management at Rutgers, the state university of New Jersey. Descriptive statistics and a box plot for the data are shown on the XLSTAT printouts at the top of the next column. [Note:The 鈥+鈥 on the box plot represents the location of the mean.]

a.Find and interpret the z-score associated with the highest salary offer, the lowest salary offer, and the mean salary offer. Would you consider the highest offer to be unusually high? Why or why not?

b.Based on the box plot for this data set, which salary offers (if any) are suspect or highly suspect outliers?

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