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Pearson Chi2 statistic is used to test for independence between the row and column variables in contingency tables (tables of counts of two variables that each have only a few distinct values). Independence means that knowing the value of the row variable does not change the probabilities of the column variable (and vice versa). Another way of looking at independence is to say that the row percentages (or column percentages) remain constant from row to row (or column to column).
Contingency Coefficients reflect the strength of the association in a contingency table on a scale from 0 to 1.
Example: Is there relationship between presence of side effects and medicine method used?