Course Description
Pre-Requisite(s):
A prior course in statistics
Discipline(s):
Quantification, Computation & Data Analysis
This course includes an overview of parametric vs. non-parametric methods including one-sample, two-sample, and k-sample methods; pair comparison and block designs; tests for trends and association; multivariate tests; analysis of censored data; bootstrap methods; multi-factor experiments; and smoothing methods.
