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At the time the article was created Candace Makeda Moore had no recorded disclosures.View Candace Makeda Moore's current disclosures
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Nonparametric statistics is the area of statistics that deals with data which either does not have a probability distribution or that does not have the distribution's parameters specified. Nonparametric tests are often practically very useful when a data set's distribution is unknown e.g. when testing the correlation between two variables for a regression, it is often inappropriate to assume the variables studied are normally distributed, and therefore a Pearson's correlation is inappropriate and the Spearman rank correlation would be the non-parametric test that could be applied to such data.
- 1. Justine Rochon, Matthias Gondan, Meinhard Kieser. To test or not to test: Preliminary assessment of normality when comparing two independent samples. (2012) BMC Medical Research Methodology. 12 (1): 1. doi:10.1186/1471-2288-12-81 - Pubmed