New statistical tests improve accuracy of hypothesis testing in data analysis
The article presents a method to improve statistical tests for complete contingency tables. By adjusting the test statistic, the researchers were able to better approximate its distribution, leading to more accurate hypothesis testing. This technique enhances the reliability of tests involving complete contingency tables with known maximum likelihood estimators.