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المجالالإحصاءالإحصاء
العائلةHypothesis testHypothesis test
سنة النشأة19651908
صاحب الطريقةS. S. Shapiro & M. B. WilkStudent (W. S. Gosset)
النوعNormality (goodness-of-fit) testParametric mean comparison
المصدر التأسيسيShapiro, S. S. & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3-4), 591–611. DOI ↗Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗
الأسماء البديلةShapiro-Wilk W test, W test for normality, Shapiro-Wilk normallik testistudent t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
ذات صلة24
الملخصThe 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.
ScholarGateمجموعة البيانات
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ScholarGateقارن الطرق: Shapiro-Wilk test · Independent t-test. استُرجع بتاريخ 2026-06-19 من https://scholargate.app/ar/compare