Compara mètodes

	Test t per a mostres independents	Anàlisi Multivariant de la Covariància (MANCOVA)
Camp	Estadística	Estadística
Família	Hypothesis test	Hypothesis test
Any d'origen	1908	1970
Autor original	Student (W. S. Gosset)	Extension of MANOVA and ANCOVA traditions; consolidated in multivariate textbooks by the 1970s–1980s
Tipus	Parametric mean comparison	Parametric multivariate mean comparison with covariate control
Font seminal	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.	Tabachnick, B. G. & Fidell, L. S. (2019). Using Multivariate Statistics (7th ed.). Pearson. ISBN: 978-0134790541
Àlies	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi	MANCOVA, multivariate ANCOVA, MANOVA with covariates, MANCOVA — Çok Değişkenli Kovaryans Analizi
Relacionats	4	5
Resum	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.	MANCOVA (Multivariate Analysis of Covariance) is a parametric hypothesis test that simultaneously compares two or more groups on multiple continuous dependent variables while statistically controlling for one or more covariates. It extends MANOVA by incorporating covariate adjustment, a tradition consolidated in multivariate statistical methodology by the 1970s and authoritatively documented by Tabachnick and Fidell (2019).