The Kolmogorov goodness-of-fit test can now accurately test if a distribution fits a model, even if the model is not continuous. Researchers have developed a method to determine the exact critical level and power for such cases, making the test more reliable. This means the Kolmogorov test can now be used for all types of distribution functions, not just continuous ones. Several examples show how this improved test can be applied effectively.