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Case for omitting tied observations in the two-sample t-test and the Wilcoxon-Mann-Whitney Test
When the distributional assumptions for a t-test are not met, the default position of many analysts is to resort to a rank-based test, such as the Wilcoxon-Mann-Whitney Test to compare the difference in means between two samples. The Wilcoxon-Mann-Whitney Test presents no danger of tied observations...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6057651/ https://www.ncbi.nlm.nih.gov/pubmed/30040850 http://dx.doi.org/10.1371/journal.pone.0200837 |