DISTRIBUTION OF DROPOUTS’ PROPORTION FOR ONLINE AND CLASSROOM COURSES OF BUSINESS STATISTICS 2012-2018

Rolando Pena-Sanchez, Texas A&M International University, U.S.A.

Published in

REVIEW OF BUSINESS RESEARCH
Volume 18, Issue 2, p79-86, October 2018

ABSTRACT

This report explains the undergraduate students' academic improvement through the distribution of dropouts’ proportion for online and classic classroom courses of business statistics during the period 2012-2018; where in order to minimize some external sources of variation the data was taken under controlled conditions of teaching, academic subject, and academic content; in other words: all sections correspond to the same instructor, the same course and the same syllabus. A nonparametric statistical method called “the Kolmogorov-Smirnov test” was chosen (whose reasoning is clarified by means of the Levene's statistic) to perform the data analysis. The data indicates a reduction on the tendency of dropouts’ proportion via a graphical sketch of a box-plot.

Keywords

Dropouts’ proportion per course type, online courses, Levene's statistic, Kolmogorov-Smirnov test, box-plot.


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