USP Codes are listed in brackets by the 1991 USP code followed by the 2003 USP code (i.e. [M2<>QB]).

2000. Statistics and the World. 3. [M3<>QB] Discusses statistical reasoning and methods as related to today's society. Emphasizes ideas rather than specific techniques. Focuses on real examples of the use (and misuse) of statistics. Includes sampling, experimentation, descriptive statistics, elementary probability and statistical inference. Prerequisites: grade of C or better in MATH 1000, 1400 or equivalent.

2010. Statistical Concepts for Business and Management Science. 4. [M2<>QB] Provides majors in various departments of the College of Business with training in basic statistical concepts, emphasizing application to business problems. Credit cannot be earned in more than one of the following courses: STAT 2010, 2050, 2070, 4220 and 5000. Prerequisite: grade of C or better in MATH 1400.

2050. Fundamentals of Statistics. 4. [M2<>QB] Presents central ideas and fundamental techniques of statistical inference on applications in the biological sciences. Includes probability models and inferences for means, variances and parameters of discrete distributions. Introduces statistical computer packages in biweekly labs. Credit cannot be earned in more than one of the following courses: STAT 2010, 2050, 2070, 4220 and 5000. Prerequisite: grade of C or better in MATH 1000, 1400 or equivalent.

2070. Introductory Statistics for the Social Sciences. 4. [M2<>QB] Presents central ideas of descriptive statistics and statistical inference, as applied to questions in social sciences. Includes graphs, averages, sampling, estimation, hypothesis-testing and relationships between variables. Introduces associated computer skills. Credit cannot be earned in more than one of STAT 2010, 2050, 2070, 4220, 5000. Prerequisite: grade of C or better in MATH 1000, 1400 or equivalent.

2110. Statistical Methods for Business and Management Science. 3. [M3<>(none)] Provides majors in various departments of the College of Business with training in use of statistical analysis techniques as they apply to business problems. Credit cannot be earned in more than one of the following courses: STAT 2110, 3050 and 5050/5060/5070/5080. Prerequisite: STAT 2010 or consent of instructor.

3050. Statistical Methods - General. 3. [M3<>(none)] Provides undergraduate majors in the Colleges of Arts and Sciences, Agriculture and Education with training in statistical methodology for multiple variable situations. Integrates computer analysis packages such as MINITAB, SAS and SPSSX into statistical topics. Credit cannot be earned in more than one of the following courses: STAT 2110, 3050 and 5050, 5060, 5070, 5080. Prerequisite: STAT 2050, 2070 or equivalent.

4015 [4010, 4410]. Regression Analysis. 3. Contains standard topics, as well as some newer and more unconventional ones. Oriented towards analysts who use computer packages for problem solutions. Includes balance of application and theory. Dual listed with STAT 5015. Prerequisite: STAT 3050 or equivalent.

4025 [4020, 4310]. Design and Analysis of Experiments I. 3. Reviews design and analysis of one-factor experiments and introduces multi-factor experiments, Latin squares, nested designs and random effects. Includes topics such as polynomial response curves, trend analysis, split plots and incomplete blocks as time permits. Prerequisite: STAT 3050 or equivalent.

4045 [4040]. Categorical Data Analysis. 3. Applied methods for analyzing associations when some or all variables are measured in discrete categories, not continuous scales. Topics include the binomial, multinomial, and Poisson probability models, parameter estimation and hypothesis-testing about proportions, measures of association and tests for contingency tables, logistic regression, and log-linear models. Dual listed with STAT 5045. Prerequisites: STAT 2110, 3050, 5050, 5060, 5070, or 5080.

4070. Causal Models. 3. Applications of least-squares and iterative maximum-likelihood methods for drawing cause and effect conclusions from nonexperimental data. Topics include regression-based path analysis, reciprocal causation, confirmatory factor analysis, measurement error, and structural equation models with unmeasured (latent) variables. Cross listed with SOC 4070. Prerequisites: one of STAT 3050, 4015, 5050, 5060, 5070, 5080 or equivalent (regression methods).

4115 [4110]. Time Series Analysis and Forecasting. (B) 3. An applied introduction to time series and forecasting. Brief coverage of time series regression, decomposition methods, and smoothing will lead into a more detailed coverage of Box-Jenkins (ARIMA) modeling. Computer analyses using MINITAB and SAS will be an important part of the course. Cross listed with ECON 4110; dual listed with STAT 5115. Prerequisites: STAT 3050 or equivalent; STAT 4015/5015 recommended.

4155 [4150]. Fundamentals of Sampling. 3. Develops methodology of simple random sampling, stratified sampling, and multistage sampling. Provides applications related to physical, social, and biological sciences. Discusses single and two-variable estimation techniques. Presents estimation based on subsamples from subpopulations. Dual listed with STAT 5155. Prerequisite: choice of STAT 2010, 2050, 2070 or equivalent.

4220 [4020]. Basic Engineering Statistics. 3. [M3<>(none)] Introduces probability models, properties of distributions, statistical inference and development of statistical models for physical and engineering sciences. Credit cannot be earned in more than one of the following courses: STAT 2010, 2050, 2070, 4220 and 5000. Prerequisite: MATH 2205, 2355 or equivalent.

4255 [4250]. Mathematical Theory of Probability. 3. [M3<>(none)] Calculus-based. Introduces mathematical properties of random variables. Includes discrete and continuous probability distributions, independence and conditional probability, mathematical expectation, multivariate distributions and properties of normal probability law. Dual listed with STAT 5255; cross listed with MATH 4255. Prerequisite: grade of C or better in MATH 2210. (Offered fall semester)

4265 [4260, 4010]. Introduction to the Theory of Statistics. 3. Presents derivations of theoretical and sampling distributions. Introduces theory of estimation and hypothesis testing. Dual listed with STAT 5265; cross listed with MATH 4265. Prerequisite: STAT/MATH 4255.

4300. Applied Multivariate Analysis. 3. The application of multivariate statistical methods in behavioral science research. Topics include: multivariate regression, canonical correlation, discriminate analysis, factor analysis and multidimensional scaling. A wide range of computer assistance is incorporated. Dual listed with STAT 5300. Prerequisite: STAT 3050 or equivalent.

4350. Survey Construction and Analysis. 3. Designed to examine the issues surrounding the construction (item wording, test theory, and numerical scales), assessment (sampling and psychometrics), and analysis (item analysis, qualitative data analysis, and factor analysis) of survey instruments. Roughly a third of the course is devoted to each of these areas. Dual listed with STAT 5350. Prerequisite: STAT 3050.

4360. Spatial Statistics. 3. Emphasis is on a generalized linear model approach to the modeling of continuous data, placing model building and the various kriging methods into a single conceptual framework. Dual listed with STAT 5360. Prerequisite: STAT 4015

4370. Survival Analysis. 3. Introduction to the modeling of time to event data as it arises in epidemiological and medical research. Topics include parametric and non-parametric estimation for censored data without covariates, and for data with covariates, the proportional hazards regression model, additive hazards regression model and parametric regression models. Dual listed with STAT 5370. Prerequisites: STAT 4015 and 4025.

4460. Statistical Software [5480]. 1. An introduction to the various statistical software programs currently in use at the University of Wyoming. Topics will include the structure of each language, I/O, programming the basic statistical applications, and a comparison of the other languages. Prerequisite: 9 hours in statistics beyond introductory.

4870. Senior Thesis. 3. [W3<>(none)] Encompasses senior thesis research project under faculty member guidance and supervision. Faculty sponsorship must be obtained prior to registration. Prerequisites: 18 hours in statistics and senior standing.

4880 [4790]. Problems in Statistics. 1-4 (Max. 9). Encourages individual initiative on part of students who work on extending their knowledge through library research. Prerequisites: senior standing, 8 hours in statistics and consent of instructor.

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