2007Unpublished venueRequires access

Student Success in Business Statistics

Carolyn F. Rochelle, Douglas P. Dotterweich

Open publisher page 33 citations

Abstract

Many universities require Business Statistics for undergraduate business majors. For students with weak quantitative and critical thinking skills, these courses present a significant challenge that must be met before beginning academic work in their major field. Pearson and partial correlation coefficients are calculated to identify three factors from an initial model of seven that are found to be significantly related to student performance in business statistics courses: class attendance, previous performance in algebra and differential calculus, and overall GPA. Awareness of these factors can provide a basis for improving student performance in Business Statistics.

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What this paper is about

Many universities require Business Statistics for undergraduate business majors. For students with weak quantitative and critical thinking skills, these courses present a significant challenge that must be met before beginning academic work in their major field. Pearson and partial correlation coefficients are calculated to identify three factors from an initial model of seven that are found to be significantly related to student performance in business statistics courses: class attendance, previous performance in algebra and differential calculus, and overall GPA. Awareness of these factors can provide a basis for improving student performance in Business Statistics.

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Available abstract

Many universities require Business Statistics for undergraduate business majors. For students with weak quantitative and critical thinking skills, these courses present a significant challenge that must be met before beginning academic work in their major field. Pearson and partial correlation coefficients are calculated to identify three factors from an initial model of seven that are found to be significantly related to student performance in business statistics courses: class attendance, previous performance in algebra and differential calculus, and overall GPA. Awareness of these factors can provide a basis for improving student performance in Business Statistics.

Key concepts: Business statistics, Class (philosophy), Attendance, Mathematics education, Regression analysis, Statistics, Statistics education, Computer science

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