Using interactive simulation modules in JMP® for self-paced learning of introductory statistics

Abstract

An excellent way to deepen students’ understanding of statistical data analysis is to first have them perform experiments and then analyze the corresponding data. While this approach is already time-consuming and labor-intensive under normal circumstances, it becomes unfeasible in times of distance learning. Therefore, we replaced actual experimentation by interactive simulation modules. The statistical software JMP® includes 10 interactive teaching modules, covering basic concepts of statistics. We used these modules for a course in Engineering Statistics at a German University. The modules were well-received, students particularly appreciated three aspects: the ease of use, the interactivity of the modules, and the self-paced and time-independent form. In summary, JMP’s interactive simulation modules were helpful in deepening the understanding of basic statistical methods for engineering students. They can easily be integrated in introductory statistics classes as a tool for improving statistical literacy, for both distance learning or in-class learning situations.