© 1984 by Biometrika Trust
The moments of the Pearson chi-squared statistic and the minimum expected value in two-way tables
Faculty of Mathematics, The Open University Milton Keynes, Buckinghamshire, U.K.
CSIRO Division of Mathematics and Statistics Melbourne, Australia
CSIRO Division of Mathematics and Statistics Canberra, Australia
Explicit expressions for the first three moments of Pearson's X2 statistic for a two-way contingency table are used to investigate the accuracy of the
2 approximation to its distribution. The usual minimum expected value' criterion is shown to give a global bound on the accuracy of the moments, but to be too conservative. This is illustrated by examples. It is shown that the adequacy of the approximation depends on the significance level that is to be used as well as the accuracy of the moments. When the
22 approximation is inadequate, corrections based on the moments can be used. Numerical studies of the usefulness of these corrections are presented.
Key Words: Approximate distribution Moment Pearson's chi-squared statistic Two-way table