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ERIC Number: ED537981
Record Type: Non-Journal
Publication Date: 2012
Pages: 10
Abstractor: As Provided
ISSN: ISSN-1548-6613
Predicting Students' Performance in Elements of Statistics
Li, Kuiyuan; Uvah, Josaphat; Amin, Raid
Online Submission, US-China Education Review A 10 p875-884 2012
In this paper, we assess students' performance in Elements of Statistics, one of the popular courses in general education, using data from UWF (University of West Florida) for fall 2008, fall 2009, and fall 2010 semesters. We analyze associations between students' performance in the course and several performance related factors including: college and high school GPA (grade point averages), prerequisite algebra courses, and scores on standardized examinations. Our analyses show that the college GPA is the single most reliable predictor of performance in Elements of Statistics, and that a more stable prediction is obtained when the college GPA is used in conjunction with math and English scores on a standardized test, such as the SAT (Scholastic Assessment Test) or ACT (American College Testing). Aside from interpreting our results, we offer suggestions regarding curriculum development and placement criteria for Elements of Statistics. (Contains 7 tables.)
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Florida
Identifiers - Assessments and Surveys: ACT Assessment; SAT (College Admission Test)