The chi-square (χ²) test compares observed counts to expected counts to determine whether a categorical distribution differs from what is expected. Common uses: genetics ratios, goodness of fit, independence testing.
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Did You Know?
Karl Pearson developed the chi-square test in 1900 — making it one of the oldest still-used statistical tests.
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