 | This article may be too technical for most readers to understand. (May 2024) |
In statistics, Yates's correction for continuity (or Yates's chi-squared test) is used in certain situations when testing for independence in a contingency table. It aims at correcting the error introduced by assuming that the discrete probabilities of frequencies in the table can be approximated by a continuous distribution (chi-squared). Unlike the standard Pearson chi-squared statistic, it is approximately unbiased.