Case studies for an adequate understanding and interpretation of results by statistical inference


Book: 
Proceedings of the First International Conference on Teaching Statistics, 1982
Authors: 
Borovcnik, M. G.
Editors: 
Grey, D. R., Holmes, P., Barnett, V., & Constable, G. M.
Category: 
Volume: 
I
Pages: 
341-353
Year: 
1983
Publisher: 
Organising Committee of the First International Conference on Teaching Statistics
Place: 
Sheffield
Abstract: 

On the whole, case studies (and exemplary project studies) can permit the perception that not only knowledge of statistics (in the mathematical-technical sense) but especially expert knowledge in the field of application, of the problem at hand, and some "meta"-knowledge about possibilities and limitations of statistical methods in question will and should play a decisive role to compete in situations with uncertainty. The intuitive way to teach statistics should be by means of case studies. Case studies should have the same place in teaching statistics as simulation has in elementary probability.

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