The Pearson Chi-Square Statistic is a measure used to assess how closely observed data matches expected data in categorical variables. It evaluates the differences between the frequencies of observed events and those expected under a specific hypothesis, often used in count data models to test for associations between categorical variables or to evaluate goodness of fit.
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