Assumptions of Statistical Tests: What Lies Beneath

    Research output: Contribution to journalArticlepeer-review

    7 Scopus citations


    We have discussed many statistical tests and tools in this series of commentaries, and while we have mentioned the underlying assumptions of the tests, we have not explored them in detail. We stop to look at some of the assumptions of the t-test and linear regression, justify and explain them, mention what can go wrong when the assumptions are not met, and suggest some solutions in this case.

    Original languageEnglish (US)
    Pages (from-to)910-913
    Number of pages4
    JournalJournal of Foot and Ankle Surgery
    Issue number4
    StatePublished - Jul 1 2017


    • homoscedasticity
    • independence
    • linearity
    • normality

    ASJC Scopus subject areas

    • Surgery
    • Orthopedics and Sports Medicine


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