What hypotheses do “nonparametric” two-group tests actually test?

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dc.creatorConroy, Ronán M.
dc.date2017-04-01T19:48:15Z
dc.date.accessioned2026-07-09T09:30:13Z
dc.descriptionIn this article, I discuss measures of effect size for two-group comparisons where data are not appropriately analyzed by least-squares methods. The Mann–Whitney test calculates a statistic that is a very useful measure of effect size, particularly suited to situations in which differences are measured on scales that either are ordinal or use arbitrary scale units. Both the difference in medians and the median difference between groups are also useful measures of effect size.
dc.identifierOther:st0253
dc.identifierdoi:10.22004/ag.econ.207998
dc.identifierhttps://ageconsearch.umn.edu/record/207998/files/sjart_st0253.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/207998
dc.identifier.urihttp://hdl.handle.net/123456789/609569
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/207998
dc.titleWhat hypotheses do “nonparametric” two-group tests actually test?
dc.typeText

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