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 articlepeer-review

1 Scopus citations


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
Issue number2
StatePublished - Nov 2005


  • Mixed normal
  • Power
  • t test

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


Dive into the research topics of 'Power of the t test for normal and mixed normal distributions'. Together they form a unique fingerprint.

Cite this