Predictors of Student Success in Undergraduate Business Statistics Course
Journal of Academy of Business and Economics
Statistics provides students with skills to critically assess and understand various functions of the world in a meaningful way. However, business students regard statistics courses as difficult and complain about their mathematical nature. The purpose of this study is to assess the predictors of students’ success in a Business Statistics course at a mid-sized, comprehensive state university in Northeast. Four predictors emerged that significantly impacted students’ success (the expected grade): GPA, performance in the prerequisite course, statistics anxiety (particularly the Computation Self-Concept Factor), and race. Implications of these results for business educators are discussed. It is recommended that in addition to hands on and experiential classroom learning, students with lower GPA be provided additional opportunities through peer tutoring and online learning and assessment tools such as Cengage Now and Homework Manager.
Kohli, A. S., Peng, C., & Mittal, P. (2011). Predictors of Student Success in Undergraduate Business Statistics Course, Journal of Academy of Business and Economics, Volume 11, Number 4, Pages 32 - 42