| Abstract: | From the examination of the properties of symmetry of the correlation functions it appears that the asymmetrical functions contain information capability to be used with advantage for the characterization of causal effects. The paper describes a new interpretation of the K measure of HELLMICH as well as its application in the field of investigation of connections. Computer calculations carried out on plant and human populations justify the use of the introduced measure. Concrete results are presented with respect to two maize diseases “stalk rot” and “ear rot”; further a completely analogous problem to examine the relation between diabetes and high blood pressure is outlined. Finally some remarks are made on further investigation of measuring numbers and application in a broader sense. |
