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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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| Gepubliceerd in: | PLoS One |
|---|---|
| Hoofdauteur: | |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6057651/ https://ncbi.nlm.nih.gov/pubmed/30040850 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0200837 |
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