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International Journal of Physics and Applications

Vol. 7, Issue 1, Part A (2025)

A study on the applications of discriminant analysis

Author(s):

Ravi Kumar Verma

Abstract:

One of the challenging tasks facing a researcher is the data analysis section where the researcher needs to identify the correct analysis technique and interpret the output that he gets. The analysis wise is very simple, just by the click of a mouse the analysis can be done. The more demanding part is the interpretation of the output that the researcher gets. Many researchers are very familiar and well exposed to the regression analysis technique whereby the dependent variable is a continuous variable. 
But what happens if the dependent variable is a nominal variable? Then the researcher has 2 choices: either to use a discriminant analysis or a logistic regression. Discriminant analysis is used when the data are normally distributed whereas the logistic regression is used when the data are not normally distributed. The purpose of this paper is to help novice researchers as well as seasoned researchers on how best the output from the SPSS can be interpreted and presented in standard table forms. Each application represents a real practical case of applying the discriminant analysis technique, finally a general conclusion about discriminant analysis.
 

Pages: 16-19  |  112 Views  48 Downloads


International Journal of Physics and Applications
How to cite this article:
Ravi Kumar Verma. A study on the applications of discriminant analysis. Int. J. Phys. Appl. 2025;7(1):16-19. DOI: 10.33545/26647575.2025.v7.i1a.121
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