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Course Criteria
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3.00 Credits
Students will learn a systematic approach to statistical consulting, how to communicate with nonmathematical audiences, and develop the ability to apply appropriate statistical techniques to research questions. Actual experience with current university and industry research projects and SAS/SPSS is given. Offered fall and winter semesters. Prerequisites: STA 216 and two of the following courses: STA 301, STA 310, STA 311, STA 314, STA 315, STA 317, STA 318, and STA 321.
Prerequisite:
Prerequisites: STA 216 and two of the following courses: STA 301, STA 310, STA 311, STA 314, STA 315, STA 317, STA 318, and STA 321.
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3.00 Credits
An introduction to Bayesian data analysis utilizing the Gibbs Sampler and Metropolis-Hastings algorithm (Markov Chain Monte Carlo method). Estimating posterior distribution parameters, evaluating model effectiveness, hypothesis testing, and bivariate regression modeling. Appropriate computer programs will be used for analysis of real data sets. Offered winter semesters on sufficient demand. Prerequisites: STA 312 and MTH 202
Prerequisite:
Prerequisites: STA 312 and MTH 202
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3.00 Credits
An intensive exploration and practice of techniques and concepts similar to those expected to be found in problems related to actuarial science. Offered winter semester. Prerequisite: STA 412.
Prerequisite:
Prerequisite: STA 412.
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3.00 Credits
Multivariate analysis with emphasis on application using a statistical package such as SAS or SPSS. Topics include principle components analysis, factor analysis, discriminant analysis, logistic regression, cluster analysis, multivariate analysis of variance, and canonical correlation analysis. Cross-listed with STA 526. Offered fall semester on sufficient demand. Prerequisite: STA 216.
Prerequisite:
Prerequisite: STA 216.
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1.00 Credits
An overview of the people, events, and ideas that shaped the development of modern statistics. Advancements in the 20th century are emphasized, as well as the mathematical geniuses who made them happen. Contributions of legendary figures such as Fisher, Pearson, Deming, Bayes, Cox, and Neyman are discussed. Offered winter semesters in the odd-numbered years. Prerequisites: Two statistics courses and junior standing.
Prerequisite:
Prerequisites: Two statistics courses and junior standing.
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1.00 - 9.00 Credits
Special topics in Statistics.
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1.00 - 3.00 Credits
Internship in a statistical situation with individual faculty supervision to allow students to apply academic knowledge to actual and professional experiences. Offered fall and winter semesters. Prerequisites: Junior standing and permission of the instructor. Graded credit/no-credit.
Prerequisite:
Prerequisites: Junior standing and permission of the instructor. Graded credit/no-credit.
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1.00 - 3.00 Credits
Independent research in an area of interest to the students, supervised by a member of the statistics faculty. Hours, credits, topics, and time to be arranged by the student in conference with professor. Approval of the department required. Offered fall and winter semesters.
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3.00 Credits
An introduction to statistical programming and graphics using the object-oriented statistical language R. Skills in writing R code to perform statistical analyses; graphics and simulations are developed. Emphasis will be on solving real problems with hands-on work including randomization statistics, time series, data mining and big data analysis. Cross-listed with STA 418. Offered fall semester. Prerequisite: Admission to a graduate program in biostatistics, computer information systems, data science, or health informatics and bioinformatics.
Prerequisite:
Prerequisite: Admission to a graduate program in biostatistics, computer information systems, data science, or health informatics and bioinformatics.
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3.00 Credits
Multivariate analysis with emphasis on application using a statistical package such as SAS or SPSS. Topics include principle components analysis, factor analysis, discriminant analysis, logistic regression, cluster analysis, multivariate analysis of variance, and canonical correlation analysis. Cross-listed with STA 426. Offered fall semester on sufficient demand.
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