Abstract

In some of the cases when statistical methods of research on inter- relationships and interdependencies are applied to distributions different from the normal, the results can be disputed. One of the reasons is that the construction of these methods is based only on the first moment, the second central and mixed moments. The measures based on moments of higher order, such as the estimators for asymmetry and excess, are usually ignored despite the fact that they carry information which very often is extremely valuable. The article presents an idea for the simultaneous use of the moments from the first to the fourth order - the mean, standard deviation, and the asymmetry and excess coefficients for comparing several distributions to the same moment and for investigating the dynamics of distributions.