a table that displays sample values for two different factors that may be dependent or contingent on one another; it facilitates determining conditional probabilities.
Goodness-of-Fit
a hypothesis test that compares expected and observed values in order to look for significant differences within one non-parametric variable. The degrees of freedom used equals the (number of categories – 1).
Test for Homogeneity
a test used to draw a conclusion about whether two populations have the same distribution. The degrees of freedom used equals the (number of columns – 1).
Test of Independence
a hypothesis test that compares expected and observed values for contingency tables in order to test for independence between two variables. The degrees of freedom used equals the (number of columns – 1) multiplied by the (number of rows – 1).