The Unseen Forces: Introducing Non-Parametric Approaches
Students often assume non-parametric tests have no assumptions. However, they rely heavily on the assumption of exchangeability or independent identical distributions. Furthermore, while they gain robustness against outliers, they typically suffer a 'power loss' compared to parametric tests if the data truly follows a normal distribution.
Institutional Reference: Applied Statistics
View Full Proof →