Preprint #97-6
Scorings of 0 and 1, for `failure' and `success' respectively, have been used in the comparison of two proportions. A linear model and the associated analysis of variance are here used to compare five `chi-squared-like' test statistics for such situations. One finding shows why, caeteris paribus, the standard, Pearson, `chi-squared-statistic' is necessarily less powerful than at least one of three alternative statistics. A numerical example shows that differences of the order of 5% between the magnitudes of alternative test statistics can occur in practice.
Keywords:2x2 tables, Catanova statistic, categorical
data, chi-squared statistic, linear model, two proportions.
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