A chi-square (χ2) statistic is a test that is used to measure how expectations compare to actual observed data or model results.

A statistical test that allows one to determine whether observed quantities of a specific characteristic differed from the expected value purely by chance.

A rigorous method of utilizing information from a previous study when determining the sample size for a chi-squared test is outlined. The approach is able to guarantee that the average power of all ...

Generally, the chi-square tests for overall model fit were found to be sensitive to non-normality and the size of the model for all estimators (with the possible exception of the elliptical estimators ...