A case study report on integrating statistics, problem-based learning, and computerized data analysis.

Abstract

This paper addresses the pedagogical advantages of teaching statistics not as a stand-alone subject in itself, but rather as a topic integrated into teaching hands-on, problem-based computer-assisted data analysis. For over 10 years, such a two-term course has been taught at Drexel University in lieu of the usual statistics courses formerly taken by undergraduate majors in psychology and sociology. One virtue of the courses as currently implemented is that students seem to learn not just how to perform statistical procedures but how to apply them on their own.