This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 247
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Education
Abstract - #306986
Title: Some Determinants of Student Performance in Introductory Statistics
Author(s): Jenting Wang*+ and Shuyi Tu
Companies: State University of New York at Oneonta and University of Michigan, Flint
Address: , Oneonta, NY, 13820,
Keywords: Introductory Statistics ; Correlation ; Principal Component Analysis ; Multiple Linear Regression

Introductory Statistics is a course required for most of the college students. In a previous study, a model including explanatory variables such as students' overall and math grades in high school and in college, SAT scores, number of collegiate and math credits earned was established to determine the significant variables in predicting students' grades this course. This study aims to further identify other variables for succeeding the course, such as student's major, attendances, the amount of time and efforts students put on for the course and other courses outside the classroom, or the weekly hours students work as a job. Survey questionnaires from students taking the course were collected for the study. Predictions on student's grade may be achieved by the method of principal component analysis.

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