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Discriminant Analysis

Discriminant Analysis is a type of Multivariate Analysis. In discriminant analysis there is one output and it is categorical. The inputs are continuous variables :

The purpose is to understand how to use the input variables to differentiate between the outputs.

For example, you may be trying to determine the factors that make it likely that customers will default on a loan (two categories, default or not). The inputs might be their annual income, age, length at present employment and the amount of the loan.

 MiC Quality offers online courses that can help you prepare for the American Society for Quality (ASQ) Certified Six Sigma Black Belt examination. Try out our courses by taking the first module of the Primer in Statistics free of charge.
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