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Plan For A Statistical Project

Decent Essays

Part C: Plan for the Analysis In this section of our statistical project, we must come up with a minimum of 12 pairs from the 13 variables given to us. I have come up with 12 pairs that I believe are essential for helping the Office of Admissions pick the best applicants. These 12 pairs are as followed: Sex-HSP, HSP-Primary Major, Sex-Cumulative GPA, Primary Major-GPA, Residency-GPA, ACT English-Sex, ACT Math-Sex, ACT Composition-Sex, Admission Type-GPA, School/College Enrollment-GPA, HSP-GPA, and Sex-Primary Major. Over the following few pages, I will be elaborating on how these pairs of variables might give me and the Office of Admission useful information in our search for the best prospective applicants. Please keep in mind that …show more content…

Sex and Cumulative GPA, my third pair is another one that could grant us useful information. This is a fairly easy pair to understand. We might be able to say that one gender might have a higher cumulative GPA over the other. If we can say this then using this information will be able to help choose what genders to pick from the applicants in order to ensure that they will be successful in college. Major and GPA is the fourth pair that I will speak on. Again, this one isn’t very hard to understand the connection. We may be able to examine that students with certain majors have different GPAs. For example, if students are pursuing the medical field and typically the averages that are lower than most majors we can infer that harder majors will typically produce lower GPAs on average. This may not be the case every time, however if it is consistent for certain majors then the Office of Admissions may be able to limit the amount of students that are accepted into the hard majors. We will now shift to Residency and GPA, pair number 5. Unlike the other pairs previously stated, this one will include origin of students. This pair might be able to give us useful information if we take into consideration the GPAs of students from different areas. For example, we might be able to say that residents tend to have higher GPAs than non-residents and foreigners. This would help the Office of Admissions choose applicants from locations that provide the higher GPAs in

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