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Dec 30, 2024
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MATH 453 - Mathematical Statistics Units: 3 Three hours lecture per week Prerequisite(s): MATH 201 or MATH 202 /PSY 202 or MATH 300 or MATH 352 Sampling distributions, estimation, bias, confidence intervals, efficiency, consistency, sufficiency, Cramer-Rao bound, maximum likelihood, hypothesis testing, Neyman-Pearson Lemma, linear models, regression, experiment design, ANOVA, analysis of categorical data, nonparametric methods, and Bayesian estimation. Application of statistical theory in the laboratory using modern computer software. Graded: Letter Grade
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