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Course Criteria
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3.00 Credits
Prerequisite: Restricted to graduate Baltimore County Math Cohort students. Descriptive statistics, normal and sam- pling distributions, regression model fitting, and cat- egorical data analysis; estimation and tests of hypothesis.214 Mathematical Sciences
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3.00 Credits
Prerequisite: MA109 or a score of 80 or better on the Accuplacer Placement Test or equivalent. Descriptive statistics, prob- ability, distributions, estimation, hypothesis testing, regression, and categorical data analysis. Closed to students who have taken EC220, PY292, or ST265. Degree credit will not be given for both ST210 and ST265.
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3.00 Credits
Prerequisite: MA109 or a score of 80 or better on the Accuplacer Placement Test or equivalent. Descriptive statistics, prob- ability, distributions, estimation, hypothesis testing, and two additional topics chosen from regression, analysis of variance, and categorical data analysis. Applications geared toward research and data analysis in biology and medicine. Closed to students who have taken EC220, PY292, or ST210. Degree credit will not be given for both ST210 and ST265. (Spring only)
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1.00 Credits
Laboratory (1.00 cr.) Prerequisite: EC220 or EG390 or PY292 or SC351 or ST210 or ST265. A laboratory course in the use of the Statistical Analysis System, a statistical software package that is widely used throughout governmental, business, indus- trial, scientific, and academic sectors. Proficiency in using SAS for data management, analysis, and reporting is developed. The course reviews statistical methodology while focusing on developing computing experience and extensive project work. (Fall only, Odd Years)
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3.00 Credits
Prerequisite: CS201, MA252. Random experiments and probability measure. Random variables, probability density functions, and expectation. Sample statistics, confidence intervals, and hypothesis testing. Degree credit will not be given for more than one of ST210, ST265, and ST381. Same course as EG381. (Fall only)
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3.00 Credits
Prerequisite: EC220 or ST210 or ST265 and MA351. Probability, discrete and continuous distributions, moment generating functions, multivariate distributions, transformations of variables, central limit theorem. (Fall only, Even Years)
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3.00 Credits
Prerequisite: ST461. Theory of estimation and hypothesis testing, maximum likelihood estimation, likelihood ratio test. (Spring only, Odd Years)
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3.00 Credits
Prerequisite: EC220 or ST210 or ST265. Corequisite: ST365 is required for students pursuing a statistics concentration. Concepts and techniques for experimental research including simple and multiple regression, analysis of variance, analysis of categorical data. (Fall only, Odd Years)
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3.00 Credits
Prerequisite: MA301, ST365, ST465. Linear models and their relationship to regression, analysis of variance and covariance. Coverage of interaction, blocking, replica- tion, and experimental design: split-plot, nested, and Latin squares. (Spring only, Even Years)
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3.00 Credits
Prerequisite: EC220 or ST210 or ST265; MA301. The fun- damental concepts of random phenomena, including Bernoulli processes, Markov chains, Poisson processes, birth-death processes. Applications to computer simu- lation and modelling, queuing theory, quality control, social and occupational mobility, population dynamics. Same course as MA485. (Spring only, Odd Years)
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