Nonparametric or "distribution-free" methods do not require a normal or any other specific distribution compared to parametric methods.

1. Please discuss the meaning of and the difference between parametric and nonparametric tests in terms of assumptions, advantages, and disadvantages (Hint: Reference Chapter 13, Page 606).
2. Discuss a situation where nonparametric tests might be preferred over parametric tests.
3. Consider a researcher who wants to compare customer satisfaction scores between two different retail stores (Store A and Store B), using a 5-point Likert scale (1 = Very Dissatisfied to 5 = Very Satisfied). The goal is to determine if there is a significant difference in scores between the two stores.

Discuss why a nonparametric test might be more appropriate than a parametric test in this scenario. Consider the implications of using ordinal data and the potential non-normality of the satisfaction scores.