The Mann-Whitney U: A Test for Assessing Whether Two Independent Samples Come from the Same Distribution
The Mann-Whitney U: A Test for Assessing Whether Two Independent Samples Come from the Same Distribution
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DOI：
10.20982/tqmp.04.1.p013
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发表时间：
2008-01-01
期刊：
影响因子：
--
通讯作者：
Nachar, Nadim
中科院分区：
文献类型：
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作者：
Nachar, Nadim
通常很难获得大的正态分布样本，特别是在进行心理学研究时。幸运的是，有统计检验可以比较两个独立的组，不需要大的正态分布样本。Mann-Whitney U是其中的一个测试。在下面的工作中，将对该测试进行总结。解释这个测试的逻辑和它的应用。此外，Mann-Whitney U的优点和缺点也被提及。Mann-Whitney U的一个主要限制是，在异方差的情况下，I型误差或alpha（a）被放大。
It is often difficult, particularly when conducting research in psychology, to have access to large normally distributed samples. Fortunately, there are statistical tests to compare two independent groups that do not require large normally distributed samples. The Mann-Whitney U is one of these tests. In the following work, a summary of this test is presented. The explanation of the logic underlying this test and its application are presented. Moreover, the forces and weaknesses of the Mann-Whitney U are mentioned. One major limit of the Mann-Whitney U is that the type I error or alpha (a) is amplified in a situation of heteroscedasticity.