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Course Criteria
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4.00 Credits
Use of statistical package programs such as SPSS, Excel, and SAS. Topics include data management, data analysis, graphical displays, and computer simulation. Prerequisites: STAT 256 or 281, both preferred.
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4.00 Credits
Statistical inference with regard to categorical variables, including goodness-of-fit tests, contingency table analysis, Fisher exact test, and logistic regression models. Prerequisites: STAT 142 or 146 or 156 or 280 or permission of instructor.
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4.00 Credits
Single factor analysis of variance, multiple comparisons, two and multiple factor analysis of variance, completely randomized designs, randomized block designs, analysis of covariance, random effects models, additional experimental designs. Prerequisites: STAT 142 or 146 or 156 or 280 or permission of instructor.
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4.00 Credits
Statistical methods pertaining to survey sampling, with an emphasis on human populations, including simple random sampling, stratified sampling, cluster sampling, systematic sampling, and the use of demographic information to reduce margins of error. Prerequisites: STAT 142 or 146 or 156 or 280 or permission of instructor.
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4.00 Credits
Review of parametric inferential methods; nonparametric hypothesis testing (including Wilcoxon rank-sum, Wilcoxon signed-rank, sign, Kolmogorow-Smirnov, Kruskal-Wallis, Friedman); nonparametric confidence interval estimation; rank correlation; randomization and permutation tests. Prerequisites: STAT 142 or 146 or 156 or 280 or permission of instructor.
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4.00 Credits
Combinational Analysis, Discrete Probability Distributions; Exponential Distribution; Poisson Distribution; Normal Distribution; DeMoivre-LaPlace Limit Theorem; Random Variables and their properties; Laws of Large Numbers; Generating Functions; Random Walk and Ruin Problems; Markow Chains. Prerequisites: STAT 142 or 146 or 156 or 280; MATH 154 or 159 or 163; or permission of instructor.
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4.00 Credits
Random variables and stochastic processes; Markov chains and their properties; other important stochastic processes and their properties; elementary stochastic calculus. Prerequisites: STAT 280 and MATH 165 or permission of instructor.
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4.00 Credits
A particular area of statistics will be selected for in depth study. Possible areas of investigation include categorical data analysis, experimental design, multivariate statistics, nonparametric statistics, survey sampling, time series analysis, and statistical computing. May be repeated for a maximum of 24 hours credit. Prerequisite: STAT 256 or STAT 281, or permission of instructor.
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1.00 - 4.00 Credits
Topics to be determined by the instructor. Can be repeated for credit as the topic varies. Prerequisite: permission of the instructor.
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1.00 Credits
The student will serve as a statistical consultant under faculty supervision. The student will work on a statistical project as a service to some component of the university community. Permission of the instructor.
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