Application of discriminate analysis to predict the class of diploma for graduating students (INCOMPLETE)

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Abstract

This project looks at Application of discriminate 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. In this research work, discriminant analysis was used to predict the class of degree obtainable in a University system. The conditions for predictive discriminant analysis were obtained, and the analysis yielded a linear discriminant function which successfully classified or predicted 87.5 percent of the graduating students’ class of degrees. The function had a hit ratio of 88.2 percent when generalized, as a valid tool to classify fresh students of unknown group membership. It was also discovered that success in classifying or predicting fresh students of unknown group into classes of degree, was essentially similar to that of the historical sample.
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application-of-discriminate-analysis-to-predict-the-class-of-diploma-for-graduating-students

Application of discriminate analysis to predict the class of diploma for graduating students (INCOMPLETE)

1,000.00

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