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تصحیح بونفرونی×آزمون تی نمونه‌های مستقل×
حوزهآمارآمار
خانوادهHypothesis testHypothesis test
سال پیدایش19611908
پدیدآورCarlo Emilio Bonferroni; formalized for multiple comparisons by Olive Jean DunnStudent (W. S. Gosset)
نوعFamily-wise error rate (FWER) correctionParametric mean comparison
منبع بنیادینBonferroni, C. E. (1936). Teoria statistica delle classi e calcolo delle probabilità. Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commerciali di Firenze, 8, 3–62. link ↗Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗
نام‌های دیگرBonferroni adjustment, Bonferroni method, Bonferroni procedure, FWER correctionstudent t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
مرتبط54
خلاصهThe Bonferroni correction is a conservative, universally applicable method for controlling the family-wise error rate (FWER) when conducting multiple simultaneous hypothesis tests. Grounded in Bonferroni's 1936 probability inequality and formalized for multiple comparisons by Olive Jean Dunn in 1961, the procedure divides the target significance level α by the number of tests m, ensuring that the probability of making even one false rejection across the entire family of tests does not exceed α.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.
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ScholarGateمقایسهٔ روش‌ها: Bonferroni Correction · Independent t-test. بازیابی‌شده در 2026-06-19 از https://scholargate.app/fa/compare