Suggestions for Your Nonparametric Statistics Course


Authors: 
Coakley, C.
Category: 
Volume: 
4(2)
Pages: 
Online
Year: 
1996
Publisher: 
Journal of Statistics Education
URL: 
http://www.amstat.org/publications/jse/v4n2/coakley.html
Abstract: 

Nonparametric methods form an integral part of many degree programs and concentrations in statistics. In this article a number of useful approaches are suggested to aid the instructor of a nonparametric statistics course. These include ideas for classroom presentations, projects, writing components, student-generated data, and computing. Each suggestion is discussed in the context of nonparametric methods instruction. These techniques help students develop an appreciation for the field of nonparametric statistics and the broad range of its applications in practice. Appendices include a partially annotated bibliography of textbooks and monographs from the field of nonparametric statistics and a collection of Minitab macros.

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education