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
The purpose of this action is to strive for equivalent open doors for everyone paying little heed to race or skin color. Race has always been a controversial factor in the college admission process. Critics who are supportive of the action say that colleges reach out toward minorities since they are the least diverse in the college environment. With the demographic they display they are urged most of the time to apply for college admission. Often these institutions offer some help to those minorities such
Research Question #3: “Does a relationship exist between dual credit enrollment and English courses?” An Anova test was used to compare the GPA earned and college persistence. Table 4 represents the results which portrays no difference in the groups, (F
13 The classification of student major (accounting, economics, management, marketing, other) is an example of:
I conducted a survey, asking 20 females and 20 males their favorite food group for my AP Statistics project. I surveyed on Wednesday, September 27 and on Thursday, September 28 at Marshall High School. They chose from protein, grain, vegetables, fruit, and dairy. From the data, I found that 10 males and 2 females liked protein best, 3 males and 2 females liked grains best, 1 male and 1 female liked vegetables best, 3 males and 13 females liked fruit best, and 3 males and 2 females liked dairy best. Half of the males liked protein best, while most females liked fruits best. The least amount of both males and females liked vegetables. From this data, we can see that males like protein more than females do, and females like fruit more than males
There are three schools students may have an interest in, these colleges are: Cal Poly Pomona, San Diego State University, and the University of Hawaii at Manoa. The information a student could research are graduation rate, admission rate, jobs out of school, curriculum, greek life, and the student to faculty rate. With the curriculum set at each university, many courses are offered to potential students. After one earns a degree, based on a specific curriculum, schools try to help one student get a job once that pupil have graduated. In the upcoming paragraphs one student could participate on campus: the fun in engaging in greek life, or how in class, the student to faculty ratio may affect a student 's learning. By gathering information
Some questions in Part A require that you access data from Statistics for People Who (Think They) Hate Statistics. This data is available on the student website under the Student Test Resources link.
According to the website http://womenissues.about.com/cs/abortionstats/a/aaabortionstats.htm there are approximately 126,000 abortions conducted each day throughout the world. This website includes the abortion statistics of the world and breaks the data down to the demographics of the United States. It also discusses the decisions to have an abortion and the use of contraceptives in the United States. This was an informative website and included detailed statistics conducted by the Alan Guttmacher Institute. According to the website http://www.bls.gov/cps in 2000, gon average there were roughly 135 million employed and 6 million unemployed people in the labor force in the United States.h (p. 3) The websites definition of
The University of Texas (UT) understood the importance of diversity; therefore, tried numerous race-neutral strategies to get minorities into their school. Sadly, Texas suffered from segregation at this time (1993), so not many minorities were going to UT. In consequence, Texas legislature passed a race-neutral system (1997) where the top 10% of a high school graduating class would be automatically admitted into UT. Even with the top 10% rule, Studies showed that minorities’, stayed the same and even decreased, due to still segregated public high schools. UT held discussions and meetings to find ways to increase minorities population in their institution. Finally, UT passed a system called holistic review; allowed students who didn’t graduate in the top 10% of the class to have a chance of admission. The system included; an Academic Index (AI), and a Personal Achievement Index (PAI). An applicant’s PAI score is based on two
Assumptions could be made that, when it comes to college admissions, more selective and competitive schools, such as magnet schools, would reflect well on applying students. Yet, “a new study of more than 1 million students . . . has concluded that very selective high schools can hurt, not help, most students' chances of getting into very selective colleges” (Matthews, p2). The study shows that students at more demanding high schools tend to have lower grade-point averages than those of students who attend neighborhood schools. In addition, the courses are sometimes less challenging at magnet schools, mostly due to the fact that most of the work load comes from the area of special interest (Matthews, p3).
Gender – whether there was a difference in performance between genders; used for comparison between male and female participants
Assuming unequal variances, the two sampled t-Test was applied on the data sets of female and male shoe sizes with the alpha value of 0.05. The null hypothesis was that the female and male shoe sizes have an equal mean while the alternative hypothesis was that female and male shoe sizes do not have an equal mean. With the degrees of freedom being 27, the t-statistic is -8.16. The probability that -8.16 is ≤ -1.70 is 4.5×10-9 for the one-tailed test. Also, the probability that -8.16 is ≤ ±2.05. is 9.1×10-9 for the two-tailed test. Given that both probabilities are under the alpha value of 0.05, the null hypothesis is therefore rejected, and the alternative hypothesis is accepted at the 95% confidence level.
Describe how you might go about determining scores for applicants’ responses to (a) interview questions, (b) letters of recommendation, and (c) questions about previous work experience.
As students are a step away from going to college, they are frightful of their path after high school. Once students know their college choices, they are faced with making one final choice of where to attend. Usually, a student’s college decision is made by considering the distance from his/her home as well as if their parents will be able to afford the expenses that their college asks for. Colleges, though, look into the distance from home, SAT score, high school GPA, parents income, parents education, ethnicity, and gender in order for a student to be accepted into their college. All of these factors are important, but the one that tends to have a heavier weight in a student's college
After evaluating both profiles, the employers would be asked to complete a brief questionnaire that asks them the following: 1) Which of the two employees they would hire if they had a consultant spot to fill, and 2) To estimate the undergraduate GPA of each of the applicants. The employers will be instructed not to assign the same GPA applicants.
One thing that varies faster than the gasoline price may be the debate around the value of a right path for a young adult— which major guarantees a smooth access to a decent job offer. According to the article, “Not All College Majors Are Created Equal”, the author, Michelle Singletary, indicates that college degrees are not the same based on the different majors. She starts her article with a question that she asked her college students, “What’s your major?” Singletary immediately determines her student’s future by the major that the student is choosing. Later in the article, she states her opinions on how majors have played a great important role in one’s career life by using different examples and statistics. Indeed, college majors are not