# Project #78009 - Stats Homework

Use the Student_Data.xls file which consists of 200 MBA students at Whatsamattu U. It includes variables regarding their age, gender, major, GPA, Bachelors GPA, course load, English speaking status, family, and weekly hours spent studying.

I need this completed in Excel with a explaination of answers. Data sheet attached.

1. Historically, the MBA program at Whatsamattu U. has about 40% of their students choose a Leadership major, 30% choose a Finance major, 20% choose a Marketing major, 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

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.

3. Does undergraduate success predict graduate success? While most people complete their bachelor's degree during the daytime while taking multiple classes and not working full-time, those getting an MBA are typically taking one or two courses at a time, in the evening or on weekends, and while working and even supporting a family. Yet one would expect those who perform better in their bachelor's degree will perform better in their master's. Using a significance level of .05, test whether there is a correlation between the BS GPA and the MBA GPA. Also, answer the following:

a) What is the correlation coefficient & how strong is it?
b) What is the best fit regression equation that can predict the MBA GPA from the BS GPA?
c) What percent of the variability in the MBA GPA can be explained by the regression model?
d) What would you expect a student's MBA GPA to be if he/she had a 3.50 BS GPA?

4. To get an even better model for predicting MBA performance, let's look at many variables. Create a multiple regression model predicting the MBA GPA using the BS GPA, the Hours studied per week, the Gender of the student, whether the student works full-time, and the student's age. Use a .05 significance level. After you create your model, predict the MBA GPA 40-year old student that studies 6 hours per week, works full-time, and had a 3.00 BS GPA.

 Subject Mathematics Due By (Pacific Time) 08/01/2015 08:00 pm
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