手法を比較

	t検定のための検出力分析	独立標本t検定
分野	統計学	統計学
系統	Hypothesis test	Hypothesis test
提唱年	1969	1908
提唱者	Jacob Cohen	Student (W. S. Gosset)
種類	Sample size determination	Parametric mean comparison
原典	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.
別名	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
関連	5	4
概要	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.