Chi square test for Goodness of fit & Association

Use the Student_Data.xls file which consists of 200 MBA students at Whatsamattu U. The file includes variables regarding studentsââ?¬â?¢ 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. Answers to all three of the problems should be submitted via the Drop Box as a single Word document with each of the problems clearly labeled. Be sure to include your name on the document itself!

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 one'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 students' employment status and their choice of major. Do unemployed students choose majors that have the greatest employment potential? Do fully employed students choose the "easiest" major? Using the sample of 200 MBA students (in the data file), conduct a Chi Square Test of Independence to determine if one'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.