APPLICATION OF DISCRIMANT ANALYSIS TO PREDICT THE CLASS OF DIPLOMA FOR GRADUATING STUDENTS

ABSTRACT

This project work is on Application of discrimant analysis to predict the class of diploma for graduating students. This research work is concerned with the application of discriminant analysis to predict the class of diploma for graduating students. Discriminant Analysis was applied using statistical techniques to test for the significance differences between the course and the department. Discriminant Analysis (DA) is concerned with the challenge of classification investigators are confronted with this challenge when the make a number of measurements on an individual and desired to place them in either of the groups.

Onyeagu S.I (2003) findings revealed that discriminant analysis and classification are multivariate techniques concerned with separating distinct sets of objects or observation and allocation new objects or observations to pre-existing defined groups. Discriminant analysis is rather exploratory in nature. As a clarification procedure, it is often employed on a one time basis purposely to investigate observed distinction when correlation are not well understood, clarification methodological are less ^exploratory in the sense that they lead to well defined rules which can be utilized for assigning new objects. Discriminant analysis and sorting aid us to describe either graphically (in two or more dimension or observations into two or more groups , the emphasis is on developing a rule that can be utilized to correctly grouped an observation to either of the labeled classes.