Teaching Statistical Inference via Simulation using R


Authors: 
Daniel Kaplan
Volume: 
3(10)
Pages: 
online
Year: 
2008
Publisher: 
causeweb.org
URL: 
http://www.causeweb.org/webinar/2008-10/
Abstract: 

George Cobb describes the core logic of statistical inference in terms of the three Rs: Randomize, Repeat, Reject. (See repositories.cdlib.org/uclastat/cts/tise/vol1/iss1/art1) Note that all three Rs involve process or action. Teaching this core logic is more effective when students are able to carry out these actions on real data.<br><br>In this webinar, I'll show how to use computers effectively with introductory-level students to teach them the three Rs of inference. To do this, I will use a another R: the statistical software package.<br><br>The simulations that will be carried out involve constructing confidence intervals, demonstrating the idea of "coverage," hypothesis testing, and confounding and covariation.

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

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