The Wilcoxon Signed-Rank Test is a non-parametric statistical method used to compare two related samples or matched observations. It assesses whether their population mean ranks differ, making it useful when the data does not meet the assumptions of a parametric test like the t-test. This test is often applied in situations where the data is ordinal or when the sample size is small. To perform the test, the differences between paired observations are calculated, ranked, and then analyzed. The test produces a test statistic that helps determine if there is a significant difference between the two sets of data. It is commonly used in fields such as psychology and medicine.