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1301 Statistical Reasoning: A Guide to the Unknown Prerequisite(s): Freshman standing and consent of statistics undergraduate faculty advisor. Philosophical, ethical, and sociological issues related to statistical uncertainty and randomness.
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1380 Elementary Statistics Introduction to traditional statistical concepts including descriptive statistics, binomial and normal probability models, tests of hypotheses, linear correlation and regression, two-way contingency tables, and one-way analysis of variance. Credit may not be obtained after receiving credit in STA 2381 or 3381.
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2381 Introductory Statistical Methods Prerequisite(s): A grade of C or above in MTH 1321. Parametric statistical methods. Topics range from descriptive statistics through regression and one-way analysis of variance. Applications are typically from biology and medicine. Computer data analysis is required
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3381 Probability and Statistics Prerequisite(s): A grade of C or above in MTH 1322. Introduction to the fundamentals of probability, random variables, discrete and continuous probability distributions, expectations, sampling distributions, estimation and simple tests of hypothesis.
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4370 Sampling Techniques Prerequisite(s): Three hours of statistical methods. Planning, execution, and analysis of sampling from finite populations. Simple random, stratified random, ratio, systematic, cluster, sub sampling, regression estimates, and multi-frame techniques are covered.
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4371 Data Management and Mining Prerequisite(s): STA 3381. Terminology, techniques, and management of Data Mining for biostatisticians.
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4372 Introduction to Biostatistics Prerequisite(s): STA 3381. Data Analysis for biostatisticians in the biomedical and pharmaceutical fields.
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4373 Computational Methods in Statistics Prerequisite(s): STA 3381. Computational methods using statistical packages and programming.
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4374 Statistical Process Control Prerequisite(s): STA 3381 or equivalent. Development of statistical concepts and theory underlying procedures used in statistical process control applications and reliability.
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4382 Intermediate Statistical MethodsPrerequisite(s): A grade of C or above in either STA 2381 or STA 3381; or consent of instructor. Development and application of two-sample inference, analysis of variance and multiple regression. Assumptions, diagnostics and remedial measures are emphasized. Computer statistics packages are utilized.
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4385 Mathematical Statistics I Prerequisite(s): A grade of C or above in MTH 2321. Probability theory and mathematical statistics at the post-calculus level. Principal topics include probability axioms, random variable, expectation, central limit theorem, special discrete and continuous distributions, and an introduction to sampling theory and data reduction.
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4386 Mathematical Statistics II Prerequisite(s): A grade of C or above in STA 4385. Sampling distributions, sufficient statistics, likelihood procedures, point estimation, hypothesis testing, and confidence intervals. Other topics include Bayesian inference, multivariate transformations, and analysis of categorical data.
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4387 Introduction to Probability Models Prerequisite(s): A grade of C or above in STA 4385. Applications of probability theory to the study of phenomena in such fields as engineering, management science, social and physical sciences, and operations research. Topics include Markov chains, branching processes, Poisson processes, exponential models, and continuous-time Markov chains with applications to queuing systems. Other topics introduced are renewal theory and estimation procedures.
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43C9 Capstone Statistics Course
Prerequisite(s): Approval of the statistics undergraduate faculty advisor.
Statistical concepts applied to written and oral reports for consulting. For students majoring in
statistics.
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4V90 Special Topics in Statistics 1 to 3 sem. hrs.
Prerequisite(s): STA 2381 or STA 3381.
Topics in probability and/or statistics not covered in other courses. May be repeated for a maximum of 6 hours if the content is different.
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