Sammenlign metoder

	Robust ensample t-test (trimmet gennemsnit)	One-sample t-test
Fagområde	Statistik	Statistik
Familie	Hypothesis test	Hypothesis test
Oprindelsesår	1970s–2000s	1908
Ophavsperson	Rand R. Wilcox (extending Yuen's trimmed-mean approach)	Student (W. S. Gosset)
Type	Robust parametric mean comparison	Parametric mean comparison
Oprindelig kilde	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.
Aliasser	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
Relaterede	4	3
Resumé	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.