G*Power description:
G*Power 3 is a major extension of, and improvement over, G*Power 2 . It covers statistical power analyses for many different statistical tests like: F test, t test, χ2-test and z test families and some exact tests
G*Power is offering five different types of statistical power analysis: · A priori (sample size N is computed as a function of power level 1-ß, significance level a, and the to-be-detected population effect size) · Compromise (both a and 1-ß are computed as functions of effect size, N, and an error probability ratio q = ß/a) · Criterion (a and the associated decision criterion are computed as a function of 1-ß, the effect size, and N) · Post-hoc (1-ß is computed as a function of a, the population effect size, and N) · Sensitivity (population effect size is computed as a function of a, 1-ß, and N)
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