Unpaired and paired two-sample t-tests
Unpaired and paired two-sample t -tests [ edit ] Type I error of unpaired and paired two-sample t -tests as a function of the correlation. The simulated random numbers originate from a bivariate normal distribution with a variance of 1. The significance level is 5% and the number of cases is 60. Power of unpaired and paired two-sample t -tests as a function of the correlation. The simulated random numbers originate from a bivariate normal distribution with a variance of 1 and a deviation of the expected value of 0.4. The significance level is 5% and the number of cases is 60. Two-sample t -tests for a difference in means involve independent samples (unpaired samples) or paired samples . Paired t -tests are a form of blocking , and have greater power (probability of avoiding a type II error, also known as a false negative) than unpaired tests when the paired units are similar with respect to "noise factors" (see confounde...