The Wilcoxon Signed-Rank Test is a non-parametric hypothesis test used in statistics to determine whether there is a significant difference between paired samples from the same population. This method relies on ranking the absolute differences of dependent pairs rather than using raw values, operating under the condition that data are not normally distributed and may not be metric (ordinal or nominal). It serves as the non-parametric counterpart to the paired t-test within inferential statistics, specifically addressing scenarios involving repeated measures where distributional assumptions required by parametric tests cannot be met.
Prerequisite chain context: requires Ranks and Rank Sums in Nonparametric Statistics.