Assumptions of Statistical Tests: What Lies Beneath

Research output: Contribution to journalArticlepeer-review

6 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 2017


  • homoscedasticity
  • independence
  • linearity
  • normality

ASJC Scopus subject areas

  • Surgery
  • Orthopedics and Sports Medicine


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