Design and Analysis of Experiments
Principles, construction and analysis of experimental designs. ANOVA; randomized blocks, Latin squares, factorial, nested and other designs; fixed and random effects, multiple comparisons, repeated measures. Expected mean squares. Diagnostics and model comparison. Prerequisite: MATH 261A.
Normal Grade Rules