articleFeb 24, 2020GREEN OA

Using the Student's t-test with extremely small sample sizes

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Abstract

Researchers occasionally have to work with an extremely small sample size, defined herein as N ≤ 5. Some methodologists have cautioned against using the t-test when the sample size is extremely small, whereas others have suggested that using the t-test is feasible in such a case. The present simulation study estimated the Type I error rate and statistical power of the one- and two-sample t-tests for normally distributed populations and for various distortions such as unequal sample sizes, unequal variances, the combination of unequal sample sizes and unequal variances, and a lognormal population distribution. Ns per group were varied between 2 and 5. Results show that the t-test provides Type I error rates…

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Topics & keywords

Keywords
  • Sample size determination
  • Type I and type II errors
  • Statistics
  • Mathematics
  • Test (biology)
  • Statistical power
  • Sample (material)
  • F-test
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