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In statistics, Yates's correction for continuity is a statistical test commonly used when analyzing count data organized in a contingency table, particularly when sample sizes are small. It is specifically designed for testing whether two categorical variables are related or independent of each other. The correction modifies the standard chi-squared test to account for the fact that a continuous distribution (chi-squared) is used to approximate discrete data. Almost exclusively applied to 2×2 contingency tables, it involves subtracting 0.5 from the absolute difference between observed and expected frequencies before squaring the result.
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