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Course Criteria
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3.00 Credits
Combinatorial analysis, axioms of probability, conditional probability and independence, discrete and continuous random variables, expectation, limit theorems, additional topics. Students who have passed either STAT(MATH) 414 or 418 may not schedule this course for credit. Prerequisite: MATH 141
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3.00 Credits
Statistical inference: principles and methods, estimation and testing hypotheses, regression and correlation analysis, analysis of variance, computer analysis. Students who have passed STAT (MATH) 415 may not schedule this course for credit. Prerequisite: STAT 318 or knowledge of basic probability
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1.00 - 12.00 Credits
Courses offered in foreign countries by individual or group instruction.
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3.00 Credits
Random variables; probability density functions; estimation; statistical tests, t-tests; correlation; simple linear regression; one-way analysis of variance; randomized blocks.
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3.00 Credits
Two-sample problems, single and multifactor ANOVA, simple and multiple regression, categorical data.
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3.00 Credits
Probability spaces, discrete and continuous random variables, transformations, expectations, generating functions, conditional distributions, law of large numbers, central limit theorems. Students may take only one course from STAT(MATH) 414 and 418. Prerequisite: MATH 230 or MATH 231
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3.00 Credits
A theoretical treatment of statistical inference, including sufficiency, estimation, testing, regression, analysis of variance, and chi-square tests.
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3.00 Credits
Review of distribution models, probability generating functions, transforms, convolutions, Markov chains, equilibrium distributions, Poisson process, birth and death processes, estimation.
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3.00 Credits
Introduction to probability axioms, combinatorics, random variables, limit laws, and stochastic processes. Students may take only one course from MATH(STAT) 414 and 418 for credit. Prerequisite: MATH 230 or MATH 231
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3.00 Credits
Topics related to computing in statistics, including numerical linear algebra, optimization, simulation, numerical integration, and bootstrapping.
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