The related dataset is associated with a prominent – but anonymous – MBA school. The dataset is
hoped to help a perspective MBA student who is interested in starting salaries of graduating students.
The following is known about the data. Three months after graduation, the students in the class of 2015
were sent a survey. The survey asked about their satisfaction with the MBA program as well as their
starting salary. The survey was not anonymous, and the responses of these students were added to the
information already on file about them. These data included the graduates’ age (in years), sex (1= Male,
2=Female), years of work experience, GMAT information (tot=total score, qpc=quantitative percentile,
vpc=verbal percentile, tpc=total percentile), fall and spring MBA average (it is a one year program),
quartile ranking (1st is top and 4 is bottom), and their native language (1=English, 2=other). The data for
starting salary contains some missing data (coded 998=did not answer, 999=answered the survey but
did not disclose salary data). The survey responses about the student satisfaction range from 1=low to 7
high satisfaction.
1) How much can students expect to make on average upon graduation?
2) Are there any variables (e.g., age, gender, quartile, language spoken, work experience) that
affect how much a student can expect to make?
3) Is student satisfaction with the program a good predictor of salary?
4) Can ANOVA be used to provide insight in the relationship between success in the MBA program
and one’s GMAT score?
5) Are the salary data figures published by MBA programs believable?