Final answer:
The Wilcoxon Signed-Rank Test uses data from non-parametric tests to compare the mean ranks of two related samples or matched pairs without assuming a normal distribution of differences.
Step-by-step explanation:
The Wilcoxon Signed-Rank Test is a non-parametric statistical test used to compare two related samples, matched samples, or repeated measurements on a single sample to assess whether their population mean ranks differ. It is a type of matched pairs hypothesis test and is used when the assumptions for the parametric equivalent, the paired t-test, are not met. Specifically, it requires that the differences between pairs are measured on at least an ordinal scale, and it does not assume a normal distribution of the differences. The Wilcoxon Signed-Rank Test is typically used when dealing with small sample sizes or when data does not fit the assumptions required for parametric tests such as the normal distribution or when variance is unknown.