| The purpose of the paper was to introduce the basic concepts, calculation methods, two examples and SAS implementation related to the qualitative data discrimination analysis. Basic concepts included qualitative and categorical variables, discriminant analysis, maximum likelihood method, prior probability and prior distribution, posterior probability and posterior distribution; the calculation methods involved the maximum likelihood discriminant method and Bayes formula discriminant approach; the data in the two examples were "the frequency of various types of appendicitis in each detail" and "the symptoms and signs of a patient"; with the help of SAS software, the discriminant analysis was carried out on the data in the two examples, and an explanation was made for the output results of SAS. |