So sánh phương pháp

	Kiểm định Shapiro-Wilk	Independent Samples t-test
Lĩnh vực	Thống kê	Thống kê
Họ	Hypothesis test	Hypothesis test
Năm ra đời	1965	1908
Người khởi xướng	S. S. Shapiro & M. B. Wilk	Student (W. S. Gosset)
Loại	Normality (goodness-of-fit) test	Parametric mean comparison
Công trình gốc	Shapiro, S. S. & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3-4), 591–611.	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
Tên gọi khác	Shapiro-Wilk W test, W test for normality, Shapiro-Wilk normallik testi	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
Liên quan	2	4
Tóm tắt	The Shapiro-Wilk test is a hypothesis test that checks whether a continuous variable was drawn from a normal distribution. It was introduced by Samuel Shapiro and Martin Wilk in 1965 and is regarded as one of the most powerful normality tests, recommended for sample sizes below 5000.	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.