Analysis and Design of Experiment

3 credits · Graduate School

This course covers a variety of analysis of variance (ANOVA) techniques for analysis of experimental data. Topics are between-subject one-way and two-way ANOVA, within-subject ANOVA, and ANOVA with both within- and between-subject factors. Coverage of each variant includes concepts in experimental design, statistical model and assumptions, statistical tests of the overall effect and contrasts, effect size and power/sample size calculations, multiple comparison techniques, software specification and interpretation. R is the primary statistical computing platform, but SPSS will also be covered. Prerequisite: 8861 or equivalent. [3]