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Robusni jednovarijabilni t-test (podrezani srednjak)×Jedno-uzoračni t-test×
PodručjeStatistikaStatistika
ObiteljHypothesis testHypothesis test
Godina nastanka1970s–2000s1908
TvoracRand R. Wilcox (extending Yuen's trimmed-mean approach)Student (W. S. Gosset)
VrstaRobust parametric mean comparisonParametric mean comparison
Temeljni izvorWilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗
Drugi nazivione-sample trimmed mean test, Yuen one-sample test, robust one-sample location test, trimmed mean t-testsingle-sample t-test, one-group t-test, one-sample t, Student one-sample t-test
Srodne43
SažetakThe robust one-sample t-test replaces the ordinary mean with a trimmed mean and the sample variance with a Winsorized variance to compare a population location against a hypothesized value. It retains the t-test decision framework while sharply reducing sensitivity to outliers and heavy-tailed distributions, making it reliable in real-world continuous data that deviate from normality.The one-sample t-test is a parametric hypothesis test that determines whether the mean of a single sample differs significantly from a known or hypothesized population value. Derived from Student's (Gosset's) 1908 t-distribution, it assumes continuous, approximately normally distributed data and is one of the most fundamental tests in applied statistics.
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ScholarGateUsporedite metode: Robust one-sample t-test · One-sample t-test. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare