STAT 455: Experimental Design

Prerequisite: STAT 350, STAT 354, STAT 435, or equivalent.

Course Description:
Principles of analysis of variance and experimental design. Topics include computation and interpretation of analysis of variance; multiple comparisons; orthogonal contrasts; and design of experiments, including factorial, hierarchical, and split plot designs. Optional topics may include analysis of covariance; partial hierarchical designs; incomplete block designs; principles of blocking and confounding in 2**n experiments; or estimation of variance components. Computer statistical packages are used to perform computations.

When Offered: Alternate Spring, Alternate Summer