Course Description
Overview and comparison of observational studies and designed experiments followed by a thorough discussion of design principles. Review of estimation and inference for regression and ANOVA models from an experimental design perspective. Review of design and analysis for completely randomized, randomized complete block, and Latin square designs. Designs and analysis methods for factorial experiments, general blocking structures, incomplete block designs, confounded factorials, split-plot experiments, and fractional factorial designs. Examples used to illustrate application and analysis of these designs.
Fall 2022
Instructors
Meeting Patterns
Classes Start:
August 22, 2022
Classes End:
December 5, 2022
Location:
03216 Broughton Hall
Class Days:
T H
Class Start Time:
11:45am
Class End Time:
1:00pm
Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: ST 512, or ST 515, or ST 516, or ST 517, or ST 703 R: Graduate Students Only
