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NORTHCENTRAL UNIVERSITY ASSIGNMENT COVER SHEET THIS FORM MUST BE COMPLETELY FILLED IN Please Follow These Procedures: If requested by your mentor, use an assignment cover sheet as the first page of theword processor file. Use “headers” to indicate your course code, assignment number, and your name on each page of the assignment/homework including this assignment cover sheet. . Keep a Photocopy or Electronic Copy Of Your Assignments:You may need to re-submit assignments if your mentor has indicated that you may or must do so. Academic Integrity:All work submitted in each course must be the Learner’s own. This includes all assignments, exams, term papers, and other projects required by the faculty mentor. The knowing submission of another person’s work represented as that of the Learner’s without properly citing the source of the work will be considered plagiarism and will result in an unsatisfactory grade for the work submitted or for the entire course, and may result in academic dismissal. EDR8201 Statistics I Activity-8Faculty Us Scenario: You are the new director of institutional research at a small state university, and you have been assigned the task of analyzing information for the dean of the School of Education regarding the performance of their undergraduate students on the often-controversial Graduate Record Exam (GRE). Many educators believe the GRE is a poor evaluator of undergraduate performance as well as a poor predictor of graduate school performance. The dean is considering eliminating the GRE from graduate school admissions requirements. The dean has already collected data on four variables: 1) gender, 2) grade point average (GPA), 3) GRE score, and 4) graduate degree completion frequency. Your job is to develop a proposed analysis to assist the dean to make an informed decision regarding the future use of the GRE. Using this information, develop the following foundational components for a proposed analysis: 1. A relationship research question involving GPA and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both non-significant and significant relationships as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings. 2. A relationship research question involving gender, GPA, and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both non-significant and significant relationships as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings. 3. An effect research question involving gender and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both a non-significant and a significant effect as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings. 4. An effect research question involving gender, GRE score, and degree completion frequency; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both a non-significant and a significant effect as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings. 5. Finalize your report with a written analysis of your results and recommendations for the dean based on your findings. SPSS Week 8: Final Paper Assignment Background Information You are the new director of institutional research at a small state university, and you have been assigned the task of analyzing information for the dean of the School of Education regarding the performance of their undergraduate students on the often-controversial Graduate Record Exam (GRE). Many educators believe the GRE is a poor evaluator of undergraduate performance as well as a poor predictor of graduate school performance. The dean is considering eliminating the GRE from graduate school admissions requirements. The dean has already collected data on four variables: 1) gender, 2) grade point average (GPA), 3) GRE score, and 4) graduate degree completion frequency. Your job is to develop a proposed analysis to assist the dean to make an informed decision regarding the future use of the GRE. Finalize your report with a written analysis of your results and recommendations for the dean based on your findings. Support your assignment with at least five scholarly resources. In addition to these specified resources, other appropriate scholarly resources, including older articles, may be included. Length: 12-15 pages, not including title and reference pages Important Information about the Graduate Records Exam (GRE) and Grade Point Average (GPA) Scores. I. The GRE general test consists of three scores: “a Verbal Reasoning score reported on a 130–170 score scale, in 1-point increments a Quantitative Reasoning score reported on a 130–170 score scale, in 1-point increments” an Analytical Writing score reported on a 0–6 score scale, in half-point increments …Prospective graduate and business school applicants from all around the world who are interested in pursuing a master’s, MBA, specialized master’s in business or doctoral degree take the GRE General Test. Applicants come from varying educational and cultural backgrounds and the GRE General Test provides schools with a common measure for comparing candidates’ qualifications. GRE scores are used by admissions or fellowship panels to supplement your undergraduate records, recommendation letters and other qualifications for graduate-level study”from GRE home page:.ets.org/gre/revised_general/scores/how/”>https://www.ets.org/gre/revised_general/scores/how/. II. Grade Point Average (GPA) is scaled from a range from 0 – 4 http://www.collegeboard.com/html/academicTracker-howtoconvert.html. Using this information, develop the following foundational components for a proposedanalysis: Question 1: A relationship research question involving GPA and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both non-significant and significant relationships as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings. Describe methodology of study: Review data statistics and determine if a One-samples T test is appropriate to conduct this study, and if not, what would be appropriate? The 4 assumptions for One Sample T testing is: #1: Yourdependent variable should be measured at theinterval orratio level (i.e.,continuous)., #2: Thedata areindependent(i.e.,not correlated/related), #3. No significant outliers, #4. Thedependent variableshould beapproximately normally distributed. Question 2: 1. A relationship research question involving gender, GPA, and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both non-significant and significant relationships as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings. Question 3: An effect research question involving gender and GRE scores; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both a non-significant and a significant effect as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings. Question 4: An effect research question involving gender, GRE score, and degree completion frequency; corresponding null and alternative hypotheses; the type of statistical analysis to be employed to determine significance; explanations of fictitious outcomes identifying both a non-significant and a significant effect as related to both null and alternative hypotheses; and recommendations based on non-significant and significant findings

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