Explorations in statistics: power

被引:17
作者
Curran-Everett, Douglas [1 ,2 ,3 ]
机构
[1] Natl Jewish Hlth, Div Biostat & Bioinformat, Denver, CO 80206 USA
[2] Univ Colorado, Dept Biostat & Informat, Denver, CO 80202 USA
[3] Univ Colorado, Dept Physiol & Biophys, Denver, CO 80202 USA
关键词
hypothesis test; P value R; significance test; test statistic;
D O I
10.1152/advan.00001.2010
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Curran-Everett D. Explorations in statistics: power. Adv Physiol Educ 34: 41-43, 2010; doi: 10.1152/advan.00001.2010.-Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This fifth installment of Explorations in Statistics revisits power, a concept fundamental to the test of a null hypothesis. Power is the probability that we reject the null hypothesis when it is false. Four things affect power: the probability with which we are willing to reject-by mistake-a true null hypothesis, the magnitude of the difference we want to be able to detect, the variability of the underlying population, and the number of observations in our sample. In an application to an Institutional Animal Care and Use Committee or to the National Institutes of Health, we define power to justify the sample size we propose.
引用
收藏
页码:41 / 43
页数:3
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