เปรียบเทียบวิธี

	การทดสอบทีสำหรับตัวอย่างอิสระ	การวิเคราะห์ความแปรปรวนร่วมหลายตัวแปร (MANCOVA)
สาขาวิชา	สถิติศาสตร์	สถิติศาสตร์
ตระกูล	Hypothesis test	Hypothesis test
ปีกำเนิด	1908	1970
ผู้ริเริ่ม	Student (W. S. Gosset)	Extension of MANOVA and ANCOVA traditions; consolidated in multivariate textbooks by the 1970s–1980s
ประเภท	Parametric mean comparison	Parametric multivariate mean comparison with covariate control
แหล่งต้นตำรับ	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
ชื่อเรียกอื่น	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
ที่เกี่ยวข้อง	4	5
สรุป	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).