An MBA Admissions Officer Wishes to Predict an MBA Applicant's

question 90

Multiple Choice

An MBA admissions officer wishes to predict an MBA applicant's grade point average (GPA) for the MBA program on the basis of the applicant's score on the Graduate Management Admission Test (GMAT) and their undergraduate GPA (UGPA) . The admissions officer used a random sample of previously admitted applicants to build a regression tree that can be used to predict the MBA GPAs of future MBA students. Below is the final regression tree. The school awards a Dean's Scholarship to admitted applicants who it predicts will earn a GPA of 3.85 or higher in the MBA program. An MBA applicant has an undergraduate GPA of 3.91. Based on this regression tree, which of the following GMAT scores is the lowest this applicant can earn to qualify for the Dean's Scholarship?

• A) 620
• B) 650
• C) 760
• D) None of the above GMAT scores would allow them to qualify for the Dean's Scholarship.
• E) There is insufficient information to determine the minimum allowable GMAT score.

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Definitions:

Population Proportions

The ratio of members in a statistical population that have a particular attribute or characteristic.

Type I Error

A statistical error that occurs when a true null hypothesis is incorrectly rejected.

Type II Error

The error that occurs when a statistical test fails to reject a false null hypothesis, incorrectly concluding that there is no effect or difference when there is.

Null Hypothesis

A default position that there is no association between two measured phenomena or no difference among groups being compared.