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Department of Statistics, UCLA
Center for the Teaching of Statistics
Technology Innovations in Statistics Education
University of California, Los Angeles


Volume 1, Issue 1 2007

Computing and Introductory Statistics

Daniel Kaplan, Macalaster College

Download the Paper (PDF format) - October 12, 2007 Tell a colleague about it.
Printing Tips: Select 'print as image' in the Acrobat print dialog if you have trouble printing. This work has been peer reviewed.

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.

SUGGESTED CITATION:
Daniel Kaplan (2007) "Computing and Introductory Statistics", Technology Innovations in Statistics Education: Vol. 1: No. 1, Article 5.
http://repositories.cdlib.org/uclastat/cts/tise/vol1/iss1/art5




 
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