Bootstrapping students' understanding of statistical concepts.


Book: 
Thinking and reasoning with data and chance: Sixty-eighth Yearbook.
Authors: 
Hesterberg, T.
Editors: 
Burrill, G. F.
Type: 
Category: 
Pages: 
391-416
Year: 
2006
Publisher: 
National Council of Teachers of Mathematics. Reston, VA.
Abstract: 

This article shows K-12 teachers how the bootstrap and permutations tests can be used to make abstract concepts such as sampling distributions and standard error concrete. Some background information on the bootstrap is provided before a demonstration on the mechanics of the bootstrap, including the calculation of confidence intervals and standard errors is provided. Finally a comparison of bootstrap confidence intervals with classical intervals is presented.

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