Abstract
Summary Bayesian Inference depends in general on the use of prior information about the unknown parameters to be estimated as such parameter random variables rather than constant quantities and add that prior information the sample information which is the information in the form of a prior information function and could we know that it is symptomatic of all the information And experiences on parameters and features to be reached in advance through analysis or control of those features. The distribution function of observations of the current sample (Y) depends on the parameters and denoted by , in this research Bayesian Inference in the classification has been used with application on discriminant analysis approach for sample of students Technical Institute (Nineveh) the accounting department where the study included (85) students Two of the morning and evening study also included eight variables representative of school materials and taught in the accounting department (second stage), the results of the analysis showed that there are (17) observation was wrongly classified among (85) observation, and the proportion of misclassification (20%).
