A correction for the discreteness of the data that is made in the chi-square test when the number of cases in any class is small and there is one degree of freedom.
- We used the test with Yates's correction to avoid spurious rejection of the null hypothesis when expectations are too small.
- We used analyses with Yates's correction for continuity to test the prevalence of clinical and subthreshold eating disorders between the three cities and in the combined samples.
- We calculated the risk ratio and 95% confidence interval using EpiInfo and used a test with Yates's correction for the hypothesis test.
1930s: named after Frank Yates (1902–94), English statistician.
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