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Statistics LibreTexts

18: Distribution-Free Tests

  • Page ID
    2200
  • [ "article:topic-guide", "authorname:laned" ]

    Because distribution-free tests do not assume normality, they can be less susceptible to non-normality and extreme values. Therefore, they can be more powerful than the standard tests of means that assume normality.

    Contributors

    • Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University.