
05595716
j
2009e.00704
Kaplan, Daniel
Computing and introductory statistics.
Technol. Innov. Stat. Educ. 1, No. 1, 16 p., electronic only (2007).
2007
California Digital Library (CDL), University of California, Oakland, CA; University of California, Los Angeles (UCLA), Department of Statistics, Los Angeles, CA
EN
R20
K70
statistics
mathematics and computers
Summary: 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.