Vertaile menetelmiä

	Robust one-sample t-test (Trimmed Mean)	Yhden otoksen t-testi
Tieteenala	Tilastotiede	Tilastotiede
Menetelmäperhe	Hypothesis test	Hypothesis test
Syntyvuosi	1970s–2000s	1908
Kehittäjä	Rand R. Wilcox (extending Yuen's trimmed-mean approach)	Student (W. S. Gosset)
Tyyppi	Robust parametric mean comparison	Parametric mean comparison
Alkuperäislähde	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
Rinnakkaisnimet	one-sample trimmed mean test, Yuen one-sample test, robust one-sample location test, trimmed mean t-test	single-sample t-test, one-group t-test, one-sample t, Student one-sample t-test
Liittyvät	4	3
Tiivistelmä	The 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.