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Use the Student_Data.xls file which consists of 200 MBA students at Whatsamattu U. The file includes variables regarding studentsâ€™ age, gender, major, GPA, Bachelors GPA, course load, English speaking status, family, weekly hours spent studying. Each of the three assigned problems should be formatted as a one page memo.

COMPLETE PROBLEM 1: Historically, in the MBA program at Whatsamattu U., about 40% of the students choose a Leadership major, 30% choose Finance, 20% choose Marketing, and 10% choose no major. Does the most recent class of 200 MBA students fit that same pattern or has there been a shift in the choice of majors. Using the sample of 200 students (in the data file), conduct a Chi Square Goodness of Fit test to determine if the current distribution fits the historical pattern. Use a .05 significance level. Report on your findings (100+ words, 3 or more sentences). In your report, be sure to include the tables with the results of the Chi-square test as well as a chart (a bar chart or column chart) comparing the expected vs. the observed frequencies.

COMPLETE PROBLEM 2: While job opportunities for men and women are considerably more balanced than they were 40 years ago, the career aspirations may still differ. Is there a difference in majors chosen by men and women? Using the sample of 200 MBA students (in the data file), conduct a Chi Square Test of Independence to determine if oneâ€™s choice of major is independent of their gender. Use a .05 significance level. Report on your findings (100+ words, 3 or more sentences). In your report, be sure to include the tables with the results of the Chi-square test as well as a chart (a stacked column chart works well) comparing the expected vs. the observed frequencies.

COMPLETE PROBLEM 3: You wonder if there is a relationship between studentsâ€™ employment status and their choice of major. Do unemployed students choose majors that have the greatest employment potential? Do fully employed students choose the â€˜easiestâ€™ major? . Using the sample of 200 MBA students (in the data file), conduct a Chi Square Test of Independence to determine if oneâ€™s choice of major is independent of their employment status. Use a .05 significance level. Report on your findings (100+ words, 3 or more sentences). In your report, be sure to include the tables with the results of the Chi-square test as well as a chart (a stacked column chart works well) comparing the expected vs. the observed frequencies.

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