This short course will provide an overview of non-parametric statistical techniques. The course will first describe what non-parametric statistics are, when they should be used, and their advantages and disadvantages. Then, three general categories of statistical testing will be covered:
- Differences between independent groups
- Differences between dependent groups
Within each category, the applicable non-parametric testing techniques will be introduced and compared to the analogous parametric tests. Examples will be analyzed using JMP. If possible (although not required), participants should bring a laptop with JMP installed.
Before you show up:
- Download JMP.
- Explain in your own words: power (as it relates to statistics), correlation, and the differences between independent samples and dependent samples.
- Define the assumptions of ANOVA.