Hypothesis test
Independent Samples t-test
The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances.
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Sources
- Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI: 10.1093/biomet/6.1.1 ↗
- Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). SAGE. ISBN: 978-1446249185
Related methods
Referenced by
A/B TestBayes Factor TestBayesian InferenceBayesian t-TestBonferroni CorrectionDescriptive StatisticsEquivalence Test (TOST)Hotelling's T² TestIndependent samples t-testMann-Whitney U testMANOVAOne-way ANOVAPaired t-testPoint-Biserial CorrelationPower Analysis for ANOVAPower Analysis for t-testProportion TestRandomized Controlled TrialShapiro-Wilk testSimple Linear RegressionSimulation-Based Power AnalysisWelch t-test