A chi-square (²) statistic is atestthat measures how a model compares to actual observed data. The data used in calculating a chi-square statistic must be random, raw, mutually exclusive, drawn from independent variables, and drawn from a large enough sample. ... Chi-square tests are often used in hypothesis testing (Chi-Square (2) Statistic Definition).

A chi-square statistic is one way to show a relationship between twocategorical variables. In statistics, there are two types of variables:numerical (countable) variablesandnon-numerical (categorical) variables. The chi-squared statistic is a single number that tells you how much difference exists between your observed counts and the counts you would expect if there were no relationship at all in the population (Chi-Square Statistic: How to Calculate It / Distribution).

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