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Spring 2025
Feb 23, 2025
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Information Select the desired Level or Schedule Type to find available classes for the course.

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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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