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Course Criteria
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3.00 Credits
Intensive study of selected authors of a selected period or a selected linguistic problem. Research and reports.
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3.00 Credits
Prepares candidates for advanced degrees in other departments toward a reading knowledge of Spanish of textual materials within their respective fields. Offered alternate years.
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1.00 Credits
Introduction to second language learning/teaching theory, methodology, and practice. Supervised teaching, preparation of instructional and testing materials, and practice in evaluation. Readings and bibliographic work in second language learning/teaching theory, practice, and research. Required of all graduate teaching assistants. Prerequisite: graduate standing.
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1.00 - 6.00 Credits
Independent study in Spanish literature and language.
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1.00 Credits
Introduces new teaching assistants to strategies for teaching listening, speaking, reading, and writing skills as well as culture in a cross-language setting. Summer only.
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3.00 Credits
Research for Master's Thesis
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3.00 Credits
Development of probability theory with emphasis on how probability relates to statistical inference. Topics include review of probability basics, counting rules, Bayes Theorem, distribution function, expectation and variance of random variables and functions of random variables, moment generating function, moments, probability models for special random variables, joint distributions, maximum likelihood estimation, unbiasedness, distributions of functions of random variables, chi-square distribution, students t distribution, F distribution, and sampling distributions of the sample mean and variance. Prerequisite: STA 261, 301, or 368 or equivalent. Pre- or Corequisite Calculus II. Note: STA 501 may not be counted toward graduate degree programs in mathematics or statistics.
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3.00 Credits
Introduction to the use of computers to process and analyze data. Techniques and strategies for managing, manipulating, and analyzing data are discussed. Emphasis is on the use of the SAS system. Statistical computing topics, such as random number generation, randomization tests, and Monte Carlo simulation, will be used to illustrate these programming ideas. Prerequisite: STA 401/501 or STA 671 or DSC 305 or permission of instructor.
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3.00 Credits
A study of estimation and hypothesis testing including a development of related probability ideas. Topics include derivation of the distribution of functions of random variables, point estimation methods, properties of point estimators, derivation of confidence interval formulas, and derivation of test statistics and critical regions for testing hypotheses. Prerequisite: STA 401/501 and Calculus III.
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4.00 Credits
Linear regression model, theory of least squares, statistical inference procedures, general linear hypothesis, partial F tests, residual analysis, regression diagnostics, comparison of several regressions, model adequacy, and use of statistical computer packages. Prerequisite: STA 401/501 and MTH 222 or 231.
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