New test outperforms traditional methods in detecting normality of data.
The article introduces a new test to check if data follows a normal distribution. The test compares theoretical and actual data distributions and uses Monte Carlo to find critical values. The study compares this new test with 40 others, finding it performs best against certain types of non-normal data. For symmetric data, other tests are more powerful, and for data with specific ranges, different tests are preferred.
