Contingency analysis examines relations among two or more nominally scaled variables. For example, we can investigate the relation between smoking (smoker versus nonsmoker) and lung cancer (yes, no). We do so with the help of a cross-table (contingency table) that maps the occurrence of combinations of levels of the nominal variables.