So sánh phương pháp

	Phân tích Phân biệt	Independent Samples t-test	Phân tích phương sai một yếu tố
Lĩnh vực	Thống kê	Thống kê	Thống kê
Họ	Latent structure	Hypothesis test	Hypothesis test
Năm ra đời	1936	1908	1925
Người khởi xướng	Ronald A. Fisher	Student (W. S. Gosset)	Ronald A. Fisher
Loại	Supervised classification and dimension reduction	Parametric mean comparison	Parametric mean comparison
Công trình gốc	Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188.	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.	Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd.
Tên gọi khác	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi	one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Liên quan	4	4	4
Tóm tắt	Discriminant analysis finds linear combinations of predictor variables that best separate two or more known groups. It is used both to understand which predictors distinguish the groups and to classify new observations into those groups with minimum error.	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.	One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.