قارن الطرق

	تحليل القوة لاختبار t	اختبار ت للعينات المستقلة
المجال	الإحصاء	الإحصاء
العائلة	Hypothesis test	Hypothesis test
سنة النشأة	1969	1908
صاحب الطريقة	Jacob Cohen	Student (W. S. Gosset)
النوع	Sample size determination	Parametric mean comparison
المصدر التأسيسي	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
الأسماء البديلة	t-test power analysis, sample size calculation for t-test, Güç Analizi — t-Testi	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
ذات صلة	5	4
الملخص	Power analysis for the t-test is a sample size planning procedure that determines how many participants are required to detect a mean difference of a given magnitude with acceptable probability. Formalised by Jacob Cohen in his 1969 and 1988 editions of Statistical Power Analysis for the Behavioral Sciences, it links four quantities — effect size (Cohen's d), significance level (α), statistical power (1 − β), and sample size — so that fixing any three allows calculation of the fourth.	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.