In this paper, a method of statistic analysis is suggested for studying and classifying nerve types of children, juveniles and youths. First, a set of effective calculating formulae is established so as to describe nerve types quantitatively. Thus, our analysis of nerve types is based on the experimental data. Since these data can not be considered as normally distributed, even the sampling is sized greatly. This has caused certain difficulties in the data analysis. The Box-Cox Transformation is proposed for the sampling data in this paper. As a result, direr tronsformation all the sets of experimental data can successfully pass Kolmogorov's no rmallsation test. And then, the suitable representative points in normal distribution are sleeted as classifying standards. Once the dividing points for classification are set up, the problem of classifying nerve types is solved successfully.
