Computing and Introductory Statistics


Authors: 
Daniel Kaplan
Editors: 
Robert Gould
Volume: 
1(1)
Pages: 
online
Year: 
2007
Publisher: 
Technology Innovations in Statistics Education (TISE)
URL: 
http://repositories.cdlib.org/uclastat/cts/tise/
Abstract: 

Much of the computing that students do in introductory statistics courses is based on techniques that were developed before computing became inexpensive and ubiquitous. Now that computing is readily available to all students, instructors can change the way we teach statistical concepts. This article describes computational ideas that can support teaching George Cobb's Three Rs of statistical inference: Randomize, Repeat, Reject.

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