A new test has been developed to compare two sets of data without assuming any specific distribution. The test is based on a simple measure of how different the two sets are, making it easy to understand. The test works well even with small sample sizes and is as effective as other commonly used tests. In fact, it performs better than the Kolmogorov-Smirnov test in most cases.