Power of the t test for normal and mixed normal distributions

Marilyn Thompson, Samuel B. Green, Yi Hsin Chen, Shawn Stockford, Wen Juo Lo

Research output: Contribution to journalReview article

1 Scopus citations

Abstract

Previous research suggests that the power of the independent-samples t test decreases when population distributions are mixed normal rather than normal, and that robust methods have superior power under these conditions. However, under some conditions, the power for the independent-samples t test can be greater when the population distributions for the independent groups are mixed normal rather than normal. The implications of these results are discussed.

Original languageEnglish (US)
Pages (from-to)591-597
Number of pages7
JournalJournal of Modern Applied Statistical Methods
Volume4
Issue number2
DOIs
StatePublished - Nov 2005

Keywords

  • Mixed normal
  • Power
  • t test

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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