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MATH 529 - Analysis of Variance in Experimental Design Models |
Multivariate normal distribution; quadratic forms; linear models; simple random, randomized block, Latin squares, factorial, split-plot, balanced incomplete block designs; analysis of covariance; confounding; and multiple comparison tests. Prerequisite: MATH 321 or equivalent. Not open to students who have credit in MATH 429.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture, Study Abroad, Online (Asynchronous) Mathematical Sciences Department Restrictions: Must be enrolled in one of the following Levels: Graduate Prerequisites: Undergraduate level MATH 321 Minimum Grade of D- |
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