Hypothesis testClassical statistics

Robust Independent Samples t-test

The robust independent samples t-test compares the central tendency of two independent groups using trimmed means and Winsorized variances, making it substantially less sensitive to outliers and non-normality than the classical Student or Welch t-test. The most widely used form is Yuen's test, which also accommodates unequal variances across groups.

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Sources

  1. Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
  2. Yuen, K. K. (1974). The two-sample trimmed t for unequal population variances. Biometrika, 61(1), 165–170. DOI: 10.1093/biomet/61.1.165

Related methods

Referenced by

ScholarGateRobust independent samples t-test (Robust Independent Samples t-test (Trimmed Means / Winsorized Variances)). Retrieved 2026-06-04 from https://scholargate.app/en/statistics/robust-independent-samples-t-test