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Undergraduate Record 2024-2025
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STAT 4160 - Experimental Design
Effective Date 08/01/2022
This course introduces various topics in experimental design, including simple comparative experiments, single factor analysis of variance, randomized blocks, Latin squares, factorial designs, blocking and confounding, and two-level factorial designs. The statistical software R is used throughout this course. Prerequisite: A prior course in regression.
Requisites Students must have completed ONE of STAT 3220, STAT 4120, STAT 5120, ECON 3720, ECON 4720, SYS 4021
Credits: 3
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