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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

TCR (Google Scholar): 4.11, TCR (Crossref): 13, g-index: 90

Peer Reviewed Journal

Vol. 10, Issue 8, Part A (2024)

Implementing chi-square test for goodness of fit in java

Implementing chi-square test for goodness of fit in java

Author(s)
K Naga Vihari, A Vani and M Bhupathi Naidu
Abstract
The Chi-square test for goodness of fit is a statistical approach that determines if there is a significant difference between the actual and expected frequencies in categorical data. This article describes a Java implementation of the Chi-square test, including the steps for reading user input, computing the Chi-square statistic, comparing it to critical values, and drawing a conclusion based on a specified significance level.
Pages: 01-03  |  476 Views  253 Downloads


International Journal of Applied Research
How to cite this article:
K Naga Vihari, A Vani, M Bhupathi Naidu. Implementing chi-square test for goodness of fit in java. Int J Appl Res 2024;10(8):01-03. DOI: 10.22271/allresearch.2024.v10.i8a.11908
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