GPSY 662 - Small n and Non-parametric Analyses

1-3 credit(s)
Focuses on analyses that serve as data analytic alternatives when parametric assumptions are not met and/or we obtain a small sample. We will discuss the theory and application of commonly used distribution-free test statistics that can be used when parametric assumptions are not met and appropriate analytic strategies when our sample size is small. Emphasis will be placed on the application of these statistical techniques with data from a variety of settings, especially when the setting does not allow for large samples.
Prerequisite(s): GPSY 582, GPSY 881, or GPSY 981.