How large should my sample be? Some quick guides to sample size and the power of tests

被引：33
作者：
Sheppard, CRC [1 ]
机构：
[1] Univ Warwick, Dept Biol Sci, Coventry CV4 7AL, W Midlands, England
来源：
MARINE POLLUTION BULLETIN | 1999年 / 38卷 / 06期
关键词：
power; statistics; sample size; probability;
D O I：
10.1016/S0025-326X(99)00048-X
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This article provides a simple explanation of how power analysis can help us determine how large a sample should be. It covers basic examples of three commonly used tests: t-test, chi(2) test and analysis of variance. It presents several graphs which can be used to obtain important critical values, such as required sample size for a particular task, and the power (or ability) of a chosen statistical test to actually determine the task required of it. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：439 / 447
页数：9
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