مقایسهٔ روش‌ها

	آزمون میانگین هرس‌شده (آزمون یوئن)	آزمون تی ولش (واریانس‌های نابرابر)
حوزه	آمار	آمار
خانواده	Regression model	Hypothesis test
سال پیدایش	1974	1947
پدیدآور	Karen K. Yuen	B. L. Welch
نوع	Robust two-group comparison	Parametric mean comparison (unequal variances)
منبع بنیادین	Yuen, K. K. (1974). The Two-Sample Trimmed t for Unequal Population Variances. Biometrika, 61(1), 165-170.	Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35.
نام‌های دیگر	Yuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testi	unequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans)
مرتبط	4	4
خلاصه	The trimmed mean test compares two groups using trimmed means, which discard a fixed proportion of the most extreme observations in each tail before averaging. Introduced by Karen K. Yuen in 1974, it is a robust alternative to the classical t-test when the data are non-normal or contain outliers and the population variances are unequal.	Welch's t-test is a parametric hypothesis test that compares the means of two independent groups without assuming their variances are equal. It was introduced by B. L. Welch in 1947 as a more robust generalization of Student's two-sample test for situations where the two groups have different spread.