has_specified_input has_specified_output achieves_planned_objective chi square test test of association between categorical variables false positive rate number of degrees of freedom Pearson's Chi square test of independence between categorical variables 2 Orlaith Burke http://www.inside-r.org/packages/cran/nortest/docs/pearson.test pearson.test(x) function, where x is a numeric vector Alejandra Gonzalez-Beltran Chi2 test for independence Pearson's Chi-Squared test is a statistical null hypothesis test which is used to either evaluate goodness of fit of dataset to a Chi-Squared distribution or used to test independence of 2 categorical variables (ie absence of association between those variables). Philippe Rocca-Serra adapted from: http://stat.ethz.ch/R-manual/R-patched/library/stats/html/chisq.test.html and http://en.wikipedia.org/wiki/Pearson's_chi-squared_test http://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html#scipy.stats.chi2_contingency http://stat.ethz.ch/R-manual/R-patched/library/stats/html/chisq.test.html chisq.test(x, y = NULL, correct = TRUE, p = rep(1/length(x), length(x)), rescale.p = FALSE, simulate.p.value = FALSE, B = 2000) association between categorical variables testing objective contingency table Chi-square probability distribution categorical variable p-value ready for release