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This course information is derived from the Online Course Catalog, which is under development. The information may not be accurate and is provided only as a convenience. Please consult the print or PDF version of the Course Catalog for all official course information.
4 sem. hrs. Prereq.: MATH 338 and MATH 220 or consent of the instructor. Covers multivariate distributions, sampling distributions, Central Limit Theorem, point and interval estimates, methods offor estimation, properties of estimators, hypothesis testing, and topics chosen from the following, as time permits: linear statistical models, p-values, likelihood ratio tests, linear statistical models, analysis of variance methods, contingency table analysis, and Chi-Square tests, and Bayesian inference methods. Makes use of Statistical software.