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MATH 426 Experimental Design
3.00 credits
This course covers ANOVA models without and with interactions, randomized block, Latin square, factorial, confounded factorial, balanced incomplete block, other designs. Working with simple linear regression models, random and mixed-effects models, response surface methodology are covered. The emphasis is on how to plan, design, and conduct experiments efficiently and effectively, and analyze the resulting data using statistical software. Fall, odd years.
Prerequisite:
MATH 321 Minimum Grade: D or MATH 422 Minimum Grade: D