STAT 5160
Experimental Design
Course Description
Pre-Requisite(s):
Graduate standing in Statistics, or instructor permission
This course develops fundamental concepts and methodology in the design and analysis of experiments. Topics include analysis of variance, multiple comparison tests, randomized block designs, Latin square and related designs, factorial designs, split-plot and related designs, and analysis of covariance. Conceptual discussion in lectures is supplemented with hands-on practice in applied data-analysis tasks using SAS or R statistical software.
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