So sánh phương pháp

	Phân tích lực thống kê cho phép kiểm định t	Phân tích công suất cho hồi quy đa biến
Lĩnh vực	Thống kê	Thống kê
Họ	Hypothesis test	Hypothesis test
Năm ra đời	1969	1988
Người khởi xướng	Jacob Cohen	Jacob Cohen
Loại	Sample size determination	A priori sample size determination
Công trình gốc	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832
Tên gọi khác	t-test power analysis, sample size calculation for t-test, Güç Analizi — t-Testi	regression power analysis, sample size estimation regression, f² power analysis, Güç Analizi — Regresyon
Liên quan	5	4
Tóm tắt	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.	Power analysis for multiple regression is a pre-study procedure, formalised by Jacob Cohen (1988), that calculates the minimum sample size needed to detect a regression effect of a given size with adequate statistical power. It uses the anticipated R² (or the equivalent Cohen's f² effect size) and the number of predictors to determine how many observations must be collected before data collection begins.