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

In view of the fact that the sample size needed for a specified power does not vary linearly with effect size, the traditional approach typically leads to less power than is desired for the specified ...

One is the widely taught Pearson chi-square test, which uses the well-known χ2 statistic. The chi-square test is appropriate for large sample inference, and it is equivalent to the Z-test that uses ...