search for: z_big

...#---BeginCode--- W_big = wilcox.test(big1, big2))$statistic #---EndCode--- and "convert" it to a Z-score, like this: #---BeginCode--- mu_big = (size^2)/2 sd_big = sqrt(size*size*(size + size + 1)/12) N = size + size sd_big_corr = sqrt( (size * size) / (N * (N - 1)) * (N^3 - N) / 12 ) Z_big = (((W_big - mu_big)/sd_big) #---EndCode--- The Z-Score (Z_big) is equal to the statistic of wilcox_test. So far so good. And now comes the main problem. When I follow the documentation correctly, the p-value for a given W-score/- statistic ist calculated using the normal-approximation with the Z-...