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 1300, STA 2100, STA 2260, TOM 3020, EC 3322, or IME 3140.
Grading Basis: Graded Only
Repeat for Credit: May be taken only once
When Offered: As needed; see Academic Department
Course Category: Major Elective Course