How Much Math Do Students Need to Succeed in Business and Economics Statistics? An Ordered Probit Analysis

Jeffrey Green (), Courtenay Stone (), Abera Zegeye () and Thomas Charles ()
Additional contact information
Jeffrey Green: Department of Economics, Ball State University
Courtenay Stone: Department of Economics, Ball State University
Abera Zegeye: Department of Economics, Ball State University
Thomas Charles: Department of Economics, Ball State University

No 200802, Working Papers from Ball State University, Department of Economics

Abstract: Because statistical analysis requires both familiarity with and the ability to use mathematics, students typically are required to take one or more prerequisite math courses prior to enrolling in the business statistics course. Despite these math prerequisites, however, students find it extremely difficult to learn business statistics. In this study, we use an ordered probit model to examine the effect of alternative prerequisite math course sequences on the grade performance of 1,684 business and economics statistics students at a large Midwestern university. In addition, we show how the imposition of a minimum grade requirement of C- for the math prerequisite course would impact student success in the business statistics course. Although several studies have examined the impact of different math skills on student success in business and economics statistics courses, our study is the first to provide a detailed analysis of the impact of different prerequisite math course sequences on student performance in business statistics. Our study shows that, other things the same, taking more math credit hours, taking math courses that emphasize calculus, and imposing a minimum grade of C- on the prerequisite math course have significantly positive impacts on student grade performance in the business and economics statistics course.

Keywords: introductory business statistics; math prerequisites; math topics; student performance; minimum prerequisite math grade requirement. (search for similar items in EconPapers)
Pages: 24 pages
Date: 2008-04, Revised 2008-04
New Economics Papers: this item is included in nep-dcm, nep-edu and nep-lab
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Citations: View citations in EconPapers (1)

Published in Journal of Statistics Education, 2009, vol. 17, no. 3.

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