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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 Chisquare statistic, comparing it to critical values, and drawing a conclusion based on a specified significance level.

Statistical and Computational ModelingAdvanced Statistical Methods and ModelsMultidisciplinary Science and Engineering ResearchCategorical variableChi-square testStatisticStatisticsStatistical significanceGoodness of fitTest statisticPearson's chi-squared testSquare (algebra)Test (biology)
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