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MATH 429 - 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 design; analysis of covariance; confounding; multiple comparison tests. Prerequisite: C- or better in MATH 321 or its equivalent, or permission of the department chairperson.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Study Abroad, Online (Asynchronous) Mathematical Sciences Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate Prerequisites: Undergraduate level MATH 321 Minimum Grade of C- |
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