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  • 3.00 Credits

    College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Statistical Computing. Prerequisites: STAT 541 or STAT 548, and CMPT 183, and permission of graduate program coordinator. Special fee. Computer systems for data analysis and data graphics, and intermediate level statistical methodology are investigated. Several statistical computing packages are utilized and evaluated. 3 hours lecture.
  • 3.00 Credits

    College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Practicum in Statistics I. Prerequisites: STAT 541, STAT 544, and STAT 547 or STAT 548, and permission of graduate program coordinator. An applied experience in which students work with practitioners in industry, government or research organizations utilizing statistical techniques in a research setting. Students will work with statisticians on projects involving experimental design and data collection as well as the analysis and interpretation of the data. May be repeated once.
  • 3.00 Credits

    College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Non-Parametric Statistics. Prerequisites: STAT 330 and permission of graduate program coordinator. Selected distribution-free tests and estimation techniques including sign, Kolmogorov-Smirnov, Wilcoxon signed rank, Mann-Whitney, Chi-square, rank correlation, Kendall's Tau, Kruskal-Wallace, Friedman, McNemar, and others. 3 hours lecture.
  • 3.00 Credits

    College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Design and Analysis of Experiments. Prerequisites: STAT 541 or STAT 548, and permission of graduate program coordinator. Fundamental principles of design; fixed, random and mixed models; factorial designs; designs with restricted randomization; split-plot design; confounding; fractional replication; experimental and sampling errors. 3 hours lecture.
  • 3.00 Credits

    College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Applied Regression Analysis. Prerequisites: STAT 330 or STAT 443, and permission of graduate program coordinator. Fitting equations to data; matrices, linear regression; correlation; analysis of residuals; multiple regression; polynomial regression; partial correlation; stepwise regression; regression and model building; regression applied to analysis of variance problems; introduction to nonlinear regression. 3 hours lecture.
  • 3.00 Credits

    College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Sampling Techniques. Prerequisites: STAT 330 or STAT 443, and permission of graduate program coordinator. Sampling and survey methodology; basic sampling theory; simple, stratified, random, cluster, systematic and area sampling. Sampling errors and estimation procedures. 3 hours lecture.
  • 3.00 Credits

    College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Intermediate Statistics Methods. Prerequisites: STAT 330, permission of graduate program coordinator. Followup to introductory statistical methods course. Principles of statistical inference; categorical data analysis; one and two-way anova; multiple linear regression; nonparametric methods; bootstrap methods. Examples from a wide variety of disciplines. Statistical software is used. 3 hours lecture.
  • 3.00 Credits

    College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Statistical Data Mining I. Prerequisites: STAT 541 or STAT 548 or equivalent, permission of graduate program coordinator. Introduction to the concepts and applications of a variety of data mining methods. Data mining is the process of selecting, exploring, and modeling large amounts of data to uncover previously unknown patterns in the data. Statistical methods covered include classification and regression trees, predictive modeling, and unsupervised learning. Hands-on applications to data sets from diverse fields. Statistical software is used. 3 hours lecture.
  • 3.00 Credits

    College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Statistical Data Mining II. Prerequisites: STAT 548 and STAT 561, permission of graduate program coordinator. Continuation of STAT 561. An in-depth approach to the topics of STAT 561 including logistic regression, decision trees, classifier theory, predictive modeling and unsupervised learning methods. Mathematical details of these techniques as well as the computational methods for their implementation. Hands-on applications to data sets from diverse fields. Statistical software is used. 3 hours lecture.
  • 3.00 Credits

    College: COLLEGE OF SCIENCE AND MATHEMATICS Department: MATHEMATICAL SCIENCES Credits: 3.00 Statistical Consulting. Prerequisites: STAT 541 or equivalent, permission of graduate program coordinator. An introduction to the statistical and interpersonal issues that arise in statistical consulting. Topics include communicating with scientists in other disciplines, technical writing and presentation, and statistical tools for consulting. Lectures center around real case studies presented by the instructor and invited speakers. Statistical software is used. Emphasis of the course is on the scientific, statistical, computational, and communication skills that a statistical consultant needs for interacting effectively with researchers from a wide range of disciplines. 3 hours lecture.
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