The Problem Universities and colleges do not like to admit students who do not perform well. It is expensive and unpleasant for both the student and the school. Since you work in the Department of Education and are a trained statistician, your supervisor has asked that you assist the Head of the Admissions Department.

Project Description The Problem Universities and colleges do not like to admit students who do not perform well. It is expensive and unpleasant for both the student and the school. Since you work in the Department of Education and are a trained statistician, your supervisor has asked that you assist the Head of the Admissions Department. You have been given the MIDWEST SCHOLASTIC DATA file to develop a detailed statistical plan that the Admissions Officer can use to determine which students are most successful at the university. The Data Your data, The MIDWEST SCHOLASTIC DATA file, contains a number of variables. The database contains information on all undergraduate students at the University of West Erl ham County (UWEC). Thirteen variables are considered for each student. The variables are : sex (SEX), high school percentile (HASP), cumulative college grade point average (GPA), age (AGE), total college credits earned (CREDITS), classification (CLASS), school/college enrollment (COLLEGE), primary major (MAJOR), out-of-state or local residency, a variable used to calculate tuition cost (RESIDENCY), admission type (TYPE), ACT English score (ENCL), ACT Math score (MATH), and ACT composition, or writing, score (COMP)PART D: Testing and Results: [Value: 5 points.] Use boxplots, scatter plots, develop linear regression where appropriate and use other statistical means to compare at least 6 pairs of variables identified by you in the previous section. Run statistical tests on the pairs of variables you chose in Part C. Discuss the results IN RELATION TO THE ACTUAL DATA AND THE PROJECT. Develop a bullet list of findings and link the findings to the appropriate graphs and data in this section and explain what your results mean in relation to the project. An example might be “Age and GPA indicated that older students have higher GPA’s. This might indicate that choosing older students, rather than new college graduates, might lead to more successful students [see Graph 3, page 10 of the Appendix]” This part should be 4 – 8 pages.

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