scholarly journals Analysis goals, error‐cost sensitivity, and analysis hacking: Essential considerations in hypothesis testing and multiple comparisons

Author(s):  
Sander Greenland
Author(s):  
Andrew Gelman ◽  
Deborah Nolan

This chapter begins with a very successful demonstration that illustrates many of the general principles of statistical inference, including estimation, bias, and the concept of the sampling distribution. Students each take a “random” sample of different size candies, weigh them, and estimate the total weight of all candies. Then various demonstrations and examples are presented that take the students on the transition from probability to hypothesis testing, confidence intervals, and more advanced concepts such as statistical power and multiple comparisons. These activities include use an inflatable globe, short-term memory test, first digits of street addresses, and simulated student IQs.


PsycCRITIQUES ◽  
2012 ◽  
Vol 57 (4) ◽  
Author(s):  
David J. Pittenger
Keyword(s):  

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