MATH 429 Analysis of Variance in Experimental Design Models
Multivariate normal distribution; quadratic forms; linear models; simple random, randomized block, Latin squares, factorial, split-plot, balanced incomplete block design; analysis of covariance; confounding; multiple comparison tests.
Prerequisite: C- or better in MATH 321 or its equivalent, or permission of the department chairperson.