STA 4350 - Analysis of Variance and Design of Experiments (4)

ANOVA techniques, multiple comparisons, computer solutions. Randomized groups and blocks designs, interactions. Latin square, split-plot, simple and confounded factorial designs. Treatment of missing data, incomplete block designs, fractional factorial designs, multifactor experiments with randomization restrictions.

Prerequisite(s): Graduate Standing; or C or better in STA 2100, STA 2260, STA 341, STA 326, TOM 3020, TOM 302, EC 3322, EC 322, IME 3140, or IME 314.
Component(s): Lecture
Grading Basis: Graded Only
Repeat for Credit: May be taken only once
Course Category: Major Course