has_specified_input has_specified_output achieves_planned_objective false positive rate number of degrees of freedom Yate's corrected Chi-Squared test 2 Orlaith Burke chisq.test(x, y = NULL, correct = TRUE) http://stat.ethz.ch/R-manual/R-patched/library/stats/html/chisq.test.html Alejandra Gonzalez-Beltran Philippe Rocca-Serra STATO, adapted from wikipedia (http://en.wikipedia.org/wiki/Yates's_correction_for_continuity) polled in June 2013 Yate's corrected Chi-Squared test is a statistical test which is used to test the association/linkage/independence of 2 dichotomous variables while introducing a correction for using the continous Chi-squared distribution for the test. To reduce the error in approximation, Frank Yates, an English statistician, suggested a correction for continuity that adjusts the formula for Pearson's chi-squared 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-squared value obtained and thus increases its p-value. Yate's correction for continuity Pearson's Chi square test of independence between categorical variables association between categorical variables testing objective 2 by 2 contingency table Chi-square probability distribution categorical variable p-value ready for release