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| Yates' correction for continuity, or Yates' chi-square test,
adjusts the formula for Pearson's chi-square test by subtracting
0.5 from the difference between each observed value and its
expected value in a 2 × 2 contingency table. This reduces the
chi-square value obtained and thus increases its p-value. It
prevents overestimation of statistical significance for small
data. This formula is chiefly used when at least one cell of the
table has an expected frequency less than 5. Other sources say
that this correction should be used when the expected frequency
is less than 10. Yet other sources say that Yates corrections
should always be applied. Yates, F (1934). Contingency table
involving small numbers and the χ2 test. Journal of the Royal
Statistical Society (Supplement) 1: 217-235. |This page uses
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