More foolproof teaching using resampling


Book: 
American Statistical Association 1992 Proceedings of the Section on Statistical Education
Authors: 
Wonnacott, T. H.
Category: 
Pages: 
273-274
Year: 
1992
Publisher: 
American Statistical Association
Place: 
Washington, D. C.
URL: 
RISE
Abstract: 

In "resampling" we broadly include (i) Sampling from populations (Monte Carlo calculations of probability) and (ii) resampling from samples (simple bootstrapping for inference). Both forms of resampling were primarily developed for researchers to answer questions too complex for analytical tools. For many of the modest problems we teach undergraduates, however, analytical solutions are usually available that provide great generality and insight. What need is there for resampling?

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