Wilcoxon

The Wilcoxon test is a statistical method used to compare two sets of related data to see if their differences are significant. Instead of relying on averages alone, it looks at the ranking of differences within paired observations, making it useful when data doesn't follow a normal distribution. For example, it can determine whether a new drug has a different effect compared to a standard treatment by analyzing patient responses before and after treatment. This test provides a more accurate assessment when data are small or not normally distributed, ensuring reliable comparisons without assuming specific data patterns.