is about has_specified_input has_specified_output achieves_planned_objective data set data transformation test of association between categorical variables false positive rate hypergeometric distribution multinomial distribution association between categorical variables testing objective 2 by 2 contingency table study group population categorical variable binomial distribution Barnard's test 2 1 2 Alejandra Gonzalez-Beltran Orlaith Burke Barnard's test Barnard's test is an exact statistical test used to determine if there are non-random associations between two categorical variables. It was developed in 1949 by Barnard and is a test which is, most times, more powerful that the Fisher exact test Philippe Rocca-Serra barnardw.test(n1, n2, n3, n4, dp = 0.001, verbose = FALSE) from http://www.inside-r.org/packages/cran/Barnard/docs/barnardw.test duplicate with OBI_0200176. so either MIREOT and add metadata and axioms or move from OBI http://en.wikipedia.org/wiki/Barnard's_test and G A Barnard (1945) "A New Test for 2X2 Tables", Nature, 156, 177 & 783. p-value ready for release