Statistics (STAT) - Courses

+STAT 145 Cr.4

Elementary Statistics

An introductory course covering fundamentals of modern statistical methods. Topics include descriptive statistics, the binomial and normal distributions, estimation, and hypothesis testing. The z, t, F and chi-square test statistics are introduced. Instruction in computer use is included, and statistics software is used throughout the course for analyzing data files and carrying out statistical procedures. Prerequisite: successful completion of STAT 245 precludes taking STAT 145 for credit. Offered Fall, Spring, Summer.

STAT 245 Cr.4

Probability and Statistics

An initial course in probability and statistics for students strong in mathematics. Probability topics include sample spaces, random variables, independence, and the binomial, Poisson, normal, and exponential distributions and their applications. Calculus-based methods will be used for analyzing continuous distributions. Statistics topics include descriptive statistics, sampling distributions, confidence intervals, hypothesis testing, regression, and ANOVA. Prerequisite: grade of "C" or better in MTH 208 or concurrent enrollment. Offered Fall, Spring.

STAT 305 Cr.3

Statistical Methods

This course is a survey of statistical methods from the point of view of how these methods are implemented with a standard statistics software package. Topics include descriptive statistics, graphical methods, tests of location, goodness of fit, simple and multiple regression, design of experiments, ANOVA, multiple comparisons, chi-square tests. Both parametric and nonparametric methods are treated. Computer use is an integral part of the course. Prerequisite: grade of "C" or better in STAT 145 or STAT 245; junior standing. Offered Fall.

STAT 345 Cr.3

Statistical Computing

This is an introductory course covering fundamentals of modern statistical computing. Topics include core programming concepts such as functions, data structures and debugging. Stochastic simulations and random variable generation are introduced, as well as accessing, filtering, and analyzing data from other resources. The R language is used. Prerequisite: STAT 145 or STAT 245. Offered Spring.

STAT 440 Cr.1

Statistical Consulting

This course covers interpersonal, written, and oral communication and interdisciplinary exposure as well as opportunities to apply statistical knowledge in a broad variety of situations. Students take part in consultations (i.e. extracting information, listening, asking appropriate questions), apply knowledge in experimental design, data modeling, use of statistical software, and/or sampling; diagnose and conduct appropriate statistical procedures and interpret and communicate results. Reading past and present literature on statistical consulting is also required. Repeatable for credit - maximum three. Prerequisites: grade of "C" or better in STAT 445 or STAT 446; consent of the Statistical Consulting Center director. Consent of instructor. Pass/Fail grading. Offered Occasionally.

STAT 441/541 Cr.3

Mathematical Statistics I

Review of discrete and continuous random variables. Moment generating functions, multivariate probability distributions, marginal and conditional probability distributions, functions of random variables, order statistics, Central Limit Theorem, point estimation and confidence intervals. This course is taught largely at an undergraduate level. Graduate students will have additional course requirements/expectations. Prerequisite: grade of "C" or better in STAT 245 and MTH 208; junior standing. Offered Fall.

STAT 442/542 Cr.3

Mathematical Statistics II

Methods of estimating, including method of moments and maximum likelihood. Sufficient statistics, hypothesis testing, power of tests, likelihood ratio tests and introduction to regression and analysis of variance. This course is taught largely at an undergraduate level. Graduate students will have additional course requirements/expectations. Prerequisite: grade of "C" or better in MTH 308 or MTH 309; grade of "C" or better in STAT 441; junior standing. Offered Spring.

STAT 443/543 Cr.3

Categorical Data Analysis

This course is an introduction to categorical data analysis covering summaries and inference for categorical response and count data, analysis of contingency tables, generalized linear models for binary and count data, logistic regression, multicategory logit models, and log-linear models for contingency tables with an emphasis on applications and implementation using computer software. This course is taught largely at an undergraduate level. Graduate students have additional course requirements/expectations. Prerequisites: grade of "C" or better in STAT 305 or STAT 345. Offered Fall - Even Numbered Years.

STAT 444 Cr.3

Environmental Statistics

This course is an introduction to common statistical methods used for environmental applications. Topics include spatial statistics, time series analysis, environmental monitoring and impact assessment, and integrated population modeling. This course is application driven and includes an introduction to computer programming in R. This course is taught largely at an undergraduate level. Graduate students have additional course requirements/expectations. Prerequisite: one of the following: STAT 305, STAT 345, MTH 265, MTH 435, BIO 419/519, or GEO 405/GEO 505. Offered Spring - Odd Numbered Years.

STAT 445/545 Cr.3

Correlation and Regression Analysis

This course is an introduction to simple linear regression, multiple regression, polynomial regression. Inferences, appropriateness of model, model diagnostics/adequacy, difficulties in the application of models are discussed. A computer package is used. Course participants are involved with hands-on statistical applications and consulting. This course is taught largely at an undergraduate level. Graduate students have additional course requirements/expectations. Prerequisite: grade of "C" or better in STAT 305 or STAT 345; junior standing. Offered Fall.

STAT 446/546 Cr.3

Analysis of Variance and Design of Experiments

This course is an introduction to single factor, multiple factor, and randomized block designs in analysis of variance. Inferences, appropriateness of model, model diagnostics/adequacy, difficulties in the application of models are discussed. Design or structure of an experiment is discussed. A computer package is used. Course participants are involved with hands-on statistical applications and consulting. This course is taught largely at an undergraduate level. Graduate students have additional course requirements/expectations. Prerequisite: grade of "C" or better in STAT 305 or STAT 345; junior standing. Offered Spring.

STAT 447/547 Cr.3

Nonparametric Statistics

This course is an introduction to the theory and procedures for using distribution-free methods in data analysis. Standard procedures, such as the Wilcoxon tests, Kruskal-Wallis, Kolmogorov-Smirnov, nonparametric confidence intervals, regression analysis, and powers of the tests are included. Computer programs are used when appropriate. This course is taught largely at an undergraduate level. Graduate students have additional course requirements/expectations. Prerequisite: grade of "C" or better in STAT 305 or STAT 345; junior standing. Offered Spring - Even Numbered Years.

STAT 448/548 Cr.3

Operations Research

This introductory course applies mathematics/statistics to management decision making. Included are methods of optimizing systems, decision analysis, simulation, and reliability. Various programming techniques are introduced with the computer used as a tool where appropriate. This course is taught largely at an undergraduate level. Graduate students have additional course requirements/expectations. Prerequisites: grade of "C" or better in STAT 245 or STAT 305; junior standing. Offered Spring - Odd Numbered Years.

STAT 449/549 Cr.3

Applied Multivariate Statistics

This course is an introduction to applied multivariate statistical methods covering multivariate analysis of variance, multivariate analysis of covariance, repeated measures design, factor analysis, principle component analysis, cluster analysis, discriminate analysis, and multivariate regression. Course participants are involved with hands-on statistical applications. This course is taught largely at an undergraduate level. Graduate students have additional course requirements/expectations. Prerequisite: grade of "C" or better in STAT 305 or STAT 345; junior standing. Offered Fall - Odd Numbered Years.

STAT 452/552 Cr.1

Introduction to SAS

This course will provide students with an introduction to the statistical software SAS. Students will learn the syntax that is necessary to write SAS code to perform basic statistical techniques, including data manipulation, graphical displays, and common statistical inference procedures. This course is taught largely at an undergraduate level. Graduate students will have additional course requirements/expectations. Prerequisite: STAT 405 or STAT 445 or STAT 446 or STAT 447 or STAT 449; junior standing. Pass/Fail grading. Offered Winter.

STAT 496/596 Cr.1-3

Special Topics in Statistics

Special topics in statistics not covered by regular courses taught in this department. The particular topic is decided by the instructor. This course is taught largely at an undergraduate level. Graduate students will have additional course requirements/expectations. Repeatable for credits - maximum six. Prerequisite: junior standing. Consent of department. Offered Occasionally.

STAT 498 Cr.1-3

Independent Study

Directed readings or presentation of material not available in formal departmental courses under the supervision of a faculty member. Registration by written consent of supervising faculty member and department chair. Repeatable for credit - maximum six. Consent of instructor. Offered Occasionally.

STAT 499 Cr.1-3

Research Topics

An opportunity to pursue individual research topics under the direction of a faculty member. Depending on the nature of the research project, study is expected to involve substantial computational or theoretical work in addition to literature review and instruction. In addition to a written report to the supervising faculty member, expected outcomes may include: software, papers and presentations to the department and regional meetings. Not applicable to a statistics and mathematics major or minor. Registration by written consent of supervising faculty member. Repeatable for credit - maximum six. Offered Occasionally.