Emphasizes analysis of variance (ANOVA) applied to experimental
designs. We will cover the following topics: Model comparison approach
(definition of F statistic), basic regression, t-test, multiple
comparisons, trend analysis, 2-factor and N-factor between-subject
designs, within-subject designs and analysis, and a bit of ANCOVA and
dealing with random and nested factors.
See web page at http://www.indiana.edu/~jkkteach/P554/