realizes has_specified_input has_specified_output achieves_planned_objective concretizes study design execution statistical test hypothesis statistical hypothesis test objective data transformation matched pairs design false positive rate McNemar test McNemar's Chi-squared Test for Count Data McNemar's test is a statistical test used on paired nominal data. It is applied to 2 × 2 contingency tables with a dichotomous trait, with matched pairs of subjects, to determine whether the row and column marginal frequencies are equal (that is, whether there is "marginal homogeneity"). It is named after Quinn McNemar, who introduced it in 1947. An application of the test in genetics is the transmission disequilibrium test for detecting linkage disequilibrium Philippe Rocca-Serra adapted from Wikipedia: https://en.wikipedia.org/wiki/McNemar%27s_test last accessed: May 2016 https://www.ncbi.nlm.nih.gov/pubmed/20254758 mcnemar.test(x, y = NULL, correct = TRUE) from: https://stat.ethz.ch/R-manual/R-devel/library/stats/html/mcnemar.test.html test of the marginal homogeneity of a contingency table within-subjects chi-squared test p-value ready for release