Yates' correction for continuity should not be used because it tends to reduce statistical power while adding little control over Type I errors.

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Yates' correction for continuity is a small adjustment made to chi-squared tests to account for the fact that the test assumes continuous values, while the data is usually in the form of discrete categories. However, studies have shown that this correction tends to reduce statistical power without providing much control over Type I errors. Therefore, it is often recommended to not use this correction unless the sample size is very small (less than 20).

Yates' Correction for Continuity Should Not Be Used Because It