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. 2011 Mar 12;16(3):291–296. doi: 10.1007/s10459-011-9283-6

Fig. 3.

Fig. 3

The relation between type-I error and sample size when a t test, a t test on logarithms and a Wilcoxon rank test are applied to log-normal data. Here, the effect size is 0.0 implying that the null hypothesis of “no difference” is true, because the type-I error is “the probability of falsely rejecting the null hypothesis when it is true”. The sample sizes shown are the number of subjects in each of the two groups