STAT 502: Analysis of Variance and Design of Experiments

Course Overview

This is a graduate level course in ANALYSIS of VARIANCE (ANOVA), including randomization and blocking, single and multiple factor designs, crossed and nested factors, quantitative and qualitative factors, random and fixed effects, split plot and repeated measures designs, crossover designs and analysis of covariance (ANCOVA). This course is cohort-based, which means that there is an established start and end date, and that you will interact with other students throughout the course.

The major components of the course include a series of 14 lessons. For each lesson you will be assigned homework problems to complete and hand in via a drop-box in the ANGEL course web site. There is an individual project assigned in this course which gives you the opportunity to select and work with an ANOVA data set from your field. Finally, there are 3 exams which are spaced out through the course. The exams are open-book and cover the major concepts and procedures that have been covered in the course.