A chi square test determines significance based on whether or not the observed frequencies could occur by chance.

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A chi square test compares observed frequencies to expected frequencies to determine if there is a significant difference between them. The test calculates a p-value, which represents the probability that the observed frequencies could occur by chance. If the p-value is below a certain threshold (often 0.05), then we reject the null hypothesis and conclude that there is a significant difference between the observed and expected frequencies. Therefore, the test is based on whether or not the observed frequencies could occur by chance.

A Chi Square Test Determines Significance Based on Whether or Not