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Apr 18, 2024
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MATH 6520 - Experimental Design
Randomization, blocking, Latin squares, balanced incomplete block designs, factorial experiments, confounding and fractional replication, components of variance, orthogonal polynomials, response surface methods.
Requisites: MATH 5510
Credit Hours: 4
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- ANOCOV models to data sets.
- Be familiar with other important designs.
- Rigorously analyze one-way and two-way ANOVA models and their variations.
- Understand most important techniques for experimental design: replication; randomization; blocks; etc.
- Understand the connection and difference between ANOVA and a regular full-rank linear model.
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