# STATISTICS-STAT (STAT)

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1 Statistics-STAT (STAT) 1 STATISTICS-STAT (STAT) Courses STAT 158 Introduction to R Programming Credit: 1 (1-0-0) Programming using the R Project for the Statistical Computing. Data objects, for loops, if statements, using packages. STAT 192 First-Year Seminar in Statistics Credit: 1 (0-0-1) Explore careers in statistics and the variety of problems encountered by statisticians. STAT 201 General Statistics Credits: 3 (2-0-1) Graphs, descriptive statistics, confidence intervals, hypothesis tests, correlation and simple regression, tests of association. Prerequisite: MATH 100 to at least 1 credit. Registration Information: Mathematics placement exam or one credit of 100-level mathematics. Intended as a one-semester terminal course. Must register for lecture and recitation. Credit not allowed for both STAT 201 and STAT 204. STAT 204 Statistics for Business Students Credits: 3 (2-2-0) Surveys, sampling, descriptive statistics, confidence intervals, contingency tables, control charts, regression, exponential smoothing, forecasting. Prerequisite: MATH 100 to at least 1 credit. Registration Information: Mathematics placement exam or one credit of 100-level mathematics. Must register for lecture and laboratory. Credit not allowed for both STAT 204 and STAT 201. STAT 301 Introduction to Statistical Methods Credits: Techniques in statistical inference; confidence intervals, hypothesis tests, correlation and regression, analysis of variance, chi-square tests. Prerequisite: MATH 117 or MATH 118 or MATH 124 or MATH 125 or MATH 126 or MATH 141 or MATH 155 or MATH 160. Registration Information: Credit allowed for only one course: STAT 301, STAT 307/ERHS 307, STAT 311, Grade Modes: S/U within Student Option, Trad within Student Option, Traditional. STAT 303 Introduction to Communications Principles Credits: Also Offered As: ECE 303. Basic concepts in design and analysis of communication systems. Prerequisite: (MATH 261 with a minimum grade of C) and (MATH 340, may be taken concurrently or MATH 345, may be taken concurrently). Registration Information: Credit not allowed for both ECE 303 and STAT 303. STAT 305 Sampling Techniques Credits: Sample designs: simple random, stratified, systematic, cluster, unequal probability, two-phase; methods of estimation and sample size determination. STAT 307 Introduction to Biostatistics Credits: Biostatistical methods; confidence intervals, hypothesis tests, simple correlation and regression, one-way analysis of variance. Prerequisite: MATH 117 or MATH 118 or MATH 124 or MATH 125 or MATH 126 or MATH 141 or MATH 155 or MATH 160. Registration Information: Credit allowed for only one of the following: STAT 301, STAT 307/ERHS 307, STAT 311, or STAT 311 Statistics for Behavioral Sciences I Credits: Statistical literacy, quantitative reasoning, statistical methods in SPSS including ANOVA, regression, logistic regression, and categorical data. Prerequisite: MATH 117 or MATH 118 or MATH 124 or MATH 125 or MATH 126 or MATH 141 or MATH 155 or MATH 159 or MATH 160. Registration Information: Sections may be offered: Online. Credit allowed for only one of the following: ERHS 307, STAT 301, STAT 307, STAT 311 or STAT 312 Statistics for Behavioral Sciences II Credits: One-way analysis of variance, factorial designs, blocked designs, multiple comparisons of means, and multiple regression. Prerequisite: STAT 311. Registration Information: Sections may be offered: Online.

2 2 Statistics-STAT (STAT) STAT 315 Statistics for Engineers and Scientists Credits: Calculus-based probability and statistics: distribution theory, estimation, hypothesis testing, applications to engineering and the sciences. Prerequisite: MATH 155 or MATH 160. Registration Information: Credit allowed for only one of the following courses: ERHS 307, STAT 301, STAT 307, STAT 311, or STAT 316 Games and Gambling Credit: 1 (1-0-0) Application of probability concepts to games of chance and gambling contests. Prerequisite: STAT 321 Elementary Probabilistic-Stochastic Modeling Credits: Probabilistic and stochastic models of real phenomena; distributions, expectations, correlations, averages; simple Markov chains and random walks. Prerequisite: (CS 156 or CS 160 or MATH 151 or MATH 152) and (MATH 155 or MATH 160). STAT 340 Multiple Regression Analysis Credits: Estimation and testing for linear, polynomial, and multiple regression models; analysis of residuals; selection of variables; nonlinear regression. STAT 341 Statistical Data Analysis I Credits: Estimation and inference based upon Gaussian linear regression models; residual analysis; variable selection; non-linear regression. Prerequisite: (STAT 158) and (STAT 301 or STAT 307 or STAT 311 or STAT 315). STAT 342 Statistical Data Analysis II Credits: Single-factor analysis of variance models; multifactor analysis of variance models; randomized block design; Latin squares; split-plot design. Prerequisite: STAT 340 or STAT 341. STAT 350 Design of Experiments Credits: Analysis of variance, covariance; randomization; completely randomized, randomized block, latin-square, split-plot, factorial and other designs. Terms Offered: Fall, Summer. STAT 358 Introduction to Statistical Computing in SAS Credits: 2 (2-0-0) Statistical procedures and database operations using the SAS programming language. Prerequisite: STAT 315 or STAT 341. STAT 372 Data Analysis Tools Credits: Data analysis principles and practice, statistical packages and computing; ANOVA, regression and categorical data methods. STAT 384 Supervised College Teaching Credits: Participation as a statistics tutor. Prerequisite: STAT 342. Registration Information: Sophomore standing. Written consent of advisor. A maximum of 10 combined credits for all 384 and 484 courses are counted toward graduation requirements. STAT 400 Statistical Computing Credits: Computationally intensive statistical methods: optimization for statistical problems; simulation & Monte Carlo methods; resampling methods; smoothing. Prerequisite: (CS 160 or CS 163 or CS 164 or MATH 151 and MATH 153) and (STAT 420, may be taken concurrently). STAT 420 Probability and Mathematical Statistics I Credits: Probability, random variables, distribution functions, and expectations; joint and conditional distributions and expectations; transformations. Prerequisite: MATH 255 or MATH 261. STAT 421 Introduction to Stochastic Processes Credits: Modeling phenomena with stochastic processes and the simulation and analysis of stochastic process models. Prerequisite: (MATH 229 or MATH 369) and (STAT 420).

3 Statistics-STAT (STAT) 3 STAT 430 Probability and Mathematical Statistics II Credits: Theories and applications of estimation, testing, and confidence intervals, sampling distributions including normal, gamma, beta X-squared, t, and F. Prerequisite: STAT 420. STAT 440 Bayesian Data Analysis Credits: Applied Bayesian data analysis, Bayesian inference and interpretation of results, computing methods including MCMC, model selection and evaluation. Prerequisite: (STAT 315 or STAT 430) and (STAT 342). STAT 460 Applied Multivariate Analysis Credits: Principles for multivariate estimation and testing; multivariate analysis of variance, discriminant analysis; principal components, factor analysis. Prerequisite: STAT 340 or STAT 341. STAT 472 Statistical Consulting Credits: 3 (0-0-3) Statistical consulting skills including data analysis, problem solving, report writing, oral communication, and planning experiments. Prerequisite: STAT 342 or STAT 372. STAT 495 Independent Study Credits: Var[1-18] (0-0-0) Registration Information: Written consent of instructor. STAT 498 Undergraduate Research in Statistics Credits: Research skills and techniques; includes both oral and written communication of results. Registration Information: Written consent of instructor. STAT 500 Statistical Computer Packages Credit: 1 (0-2-0) Comparison, evaluation, and use of computer packages for univariate and multivariate statistical analyses. Prerequisite: STAT 340 and STAT 350. Registration Information: Admission to the Master of Applied Statistics program can substitute for STAT 350. Sections may be offered: Online. STAT 501 Statistical Science Credit: 1 (1-0-0) Overview of statistics theory; use in agriculture, business, environment, engineering; modeling; computing; statisticians as researchers/consultants. Grade Mode: S/U Sat/Unsat Only. STAT 511A Design and Data Analysis for Researchers I: R Software Credits: 4 (3-0-1) Statistical methods for experimenters/researchers emphasizing design and analysis of experiments using R software. Prerequisite: STAT 301 or STAT 307 or STAT 311 or Registration Information: Must register for lecture and recitation. Sections may be offered: Online. STAT 511B Design and Data Analysis for Researchers I: SAS Software Credits: 4 (3-0-1) Statistical methods for experimenters/researchers emphasizing design and analysis of experiments using SAS software. Prerequisite: STAT 301 or STAT 307 or STAT 311 or Registration Information: Must register for lecture and recitation. Sections may be offered: Online. STAT 512 Design and Data Analysis for Researchers II Credits: 4 (3-0-1) Statistical methods for experimenters and researchers emphasizing design and analysis of experiments. Prerequisite: STAT 511A or STAT 511B. Registration Information: Must register for lecture and recitation. STAT 514 Agricultural Experimental Design and Analysis Credits: 4 (3-3-0) Also Offered As: SOCR 514. Design and implementation of agricultural experiments and statistical analysis of resulting data. Prerequisite: STAT 201 or STAT 301 or STAT 307 or ERHS 307. Registration Information: Must register for lecture and laboratory. Credit allowed for only one of the following: STAT 302, STAT 514, SOCR 414, or SOCR 514. STAT 515 Statistical Science and Process Improvement Credits: 3 (2-2-0) Statistical methods in process design; statistical methods; measurement processes; customer evaluation. Prerequisite: QNT 570 or STAT 511A or STAT 511B or STAT 540. Registration Information: Must register for lecture and laboratory.

4 4 Statistics-STAT (STAT) STAT 520 Introduction to Probability Theory Credits: 4 (4-0-0) Probability, random variables, distributions, expectations, generating functions, limit theorems, convergence, random processes. Prerequisite: MATH 369 and MATH 261 and MATH 317. STAT 521 Stochastic Processes I Credits: Characterization of stochastic processes. Markov chains in discrete and continuous time, branching processes, renewal theory, Brownian motion. Prerequisite: STAT 520. STAT 522 Stochastic Processes II Credits: Martingales and applications, random walks, fluctuation theory, diffusion processes, point processes, queueing theory. Prerequisite: STAT 521. Terms Offered: Fall, Summer. STAT 523 Quantitative Spatial Analysis Credits: Also Offered As: NR 523. Techniques in spatial analysis: point pattern analysis, spatial autocorrelation, trend surface and spectral analysis. Prerequisite: ERHS 307 or STAT 301 or STAT 307. Registration Information: Credit not allowed for both STAT 523 and NR 523. STAT 524 Financial Statistics Credits: Also Offered As: FIN 524. Probability and statistical concepts and quantitative tools used in financial modeling and decision-making. Prerequisite: MATH 345 and STAT 420. Registration Information: Admission to MSBA program with Financial Risk Management specialization can substitute for MATH 345. Credit not allowed for both STAT 524 and FIN 524. Sections may be offered: Online. STAT 525 Analysis of Time Series I Credits: Trend and seasonality, stationary processes, Hilbert space techniques, spectral distribution function, fitting ARIMA models, linear prediction. STAT 526 Analysis of Time Series II Credits: Spectral analysis; the periodogram; spectral estimation techniques; multivariate time series; linear systems, optimal control; Kalman filtering, prediction. Prerequisite: STAT 525. STAT 530 Mathematical Statistics Credits: Sampling distributions, estimates, testing, confidence intervals, exact and asymptotic theories of maximum likelihood and distribution-free methods. Prerequisite: STAT 520. STAT 540 Data Analysis and Regression Credits: Introduction to multiple regression and data analysis with emphasis on graphics and computing. Prerequisite: STAT 300 to at least 6 credits. STAT 544 Biostatistical Methods for Quantitative Data Credits: Also Offered As: ERHS 544. Regression and analysis of variance methods applied to both observational studies and designed experiments in the biological sciences. Prerequisite: STAT 301 or STAT 307 or ERHS 307. Registration Information: Credit not allowed for both STAT 544 and ERHS 544. STAT 547 Statistics for Environmental Monitoring Credits: Also Offered As: CIVE 547. Applications of statistics in environmental pollution studies involving air, water, or soil monitoring; sampling designs; trend analysis; censored data. Prerequisite: STAT 301. Registration Information: Credit not allowed for both STAT 547 and CIVE 547. Sections may be offered: Online. STAT 548 Bioinformatics Algorithms Credits: 4 (3-2-0) Also Offered As: CS 548. Computational methods for analysis of DNA/protein sequences and other biological data. Prerequisite: STAT 301 or STAT 307 or Registration Information: Student should have preexisting knowledge of a contemporary programming language. Credit not allowed for both STAT 548 and CS 548.

5 Statistics-STAT (STAT) 5 STAT 560 Applied Multivariate Analysis Credits: Multivariate analysis of variance; principal components; factor analysis; discriminant analysis; cluster analysis. Prerequisite: STAT 520 and STAT 540. Registration Information: Sections may be offered: Online. STAT 570 Nonparametric Statistics Credits: Distribution and uses of order statistics; nonparametric inferential techniques, their uses and mathematical properties. STAT 586 Practicum in Consulting Techniques Credit: 1 (0-0-1) Instruction on planning studies, writing reports, and interacting with clients. Attend and critique consulting sessions. Prerequisite: STAT 540. STAT 592 Seminar Credit: 1 (0-0-1) STAT 600 Statistical Computing Credits: Optimization and integration in statistics; Monte Carlo methods; simulation; bootstrapping; density estimation; smoothing. Prerequisite: STAT 520 and STAT 540. STAT 604 Managerial Statistics Credits: 2 (2-0-0) Also Offered As: BUS 604. Introduction to statistical thinking and methods used to support managerial decision making. Registration Information: Admission to the MBA program. Credit not allowed for both STAT 604 and BUS 604. STAT 605 Theory of Sampling Techniques Credits: Survey designs; simple random, stratified, cluster samples; theory of estimation; optimization techniques for minimum variance or costs. Prerequisite: (STAT 301 or STAT 307 or ERHS 307 or STAT 311 or STAT 315) and (STAT 430). STAT 620 Introduction to Measure Theoretic Probability Credits: Introduction to rigorous probability theory in real Euclidean spaces based on a foundation of measure theory. Prerequisite: STAT 520. STAT 623 Spatial Statistics Credits: Spatial autocorrelation, geostatistical models and kriging, analysis/modeling of point patterns, discretely-indexed spatial models. STAT 640 Design and Linear Modeling I Credits: 4 (4-0-0) Introduction to linear models; experimental design; fixed, random, and mixed models. Prerequisite: MATH 369 and STAT 540. STAT 645 Categorical Data Analysis and GLIM Credits: Generalized linear models, binary and polytomous data, log linear models, quasilikelihood, survival data models. Registration Information: Must have concurrent registration in STAT 640. STAT 650 Design and Linear Modeling II Credits: Mixed factorials; response surface methodology; Taguchi methods; variance components. STAT 673 Hierarchical Modeling in Ecology Credits: Also Offered As: FW 673. Hierarchical ecological modeling using common forms of data in fish and wildlife studies and emphasizing spatial and temporal aspects of analysis. Prerequisite: ESS 575 or STAT 420. Registration Information: Credit not allowed for both STAT 673 and FW 673. Term Offered: Fall (odd years).

6 6 Statistics-STAT (STAT) STAT 675A Topics in Statistical Methods: Sampling Credits: STAT 675B Topics in Statistical Methods: Design Credits: STAT 675C Topics in Statistical Methods: Multivariate and Regression Methods Credits: STAT 675D Topics in Statistical Methods: Computer Intensive Methods Credits: STAT 675F Topics in Statistical Methods: Robustness and Nonparametric Methods Credits: STAT 675I Topics in Statistical Methods: Industrial Statistical Methods Credits: STAT 675J Topics in Statistical Methods: Reliability Credits: STAT 675K Topics in Statistical Methods: Bayesian Statistics Credits: Registration Information: Sections may be offered: Online. STAT 675L Topics in Statistical Methods: Medical/Pharmaceutical Statistical Methods Credits: STAT 684 Supervised College Teaching Credits: Guidance and instruction in effective teaching of college courses in statistics. Registration Information: Enrollment in M.S. or Ph.D. program in statistics. Grade Mode: S/U Sat/Unsat Only. STAT 695 Independent Study Credits: Var[1-18] (0-0-0) STAT 699 Thesis Credits: Var[1-18] (0-0-0) STAT 720 Probability Theory Credits: Measure theoretic probability, characteristic functions; convergence; laws of large numbers; central limit, extreme value, asymptotic theory. Prerequisite: STAT 620. STAT 721 Applied Probability and Stochastic Processes I Credits: General theory of processes; Markov processes in discrete, continuous time; review of martingales, random walks; renewal and regenerative processes. Prerequisite: STAT 720.

7 Statistics-STAT (STAT) 7 STAT 722 Applied Probability and Stochastic Processes II Credits: Brownian motion, diffusion, stochastic differential equations; weak convergence, central limit theorems. Applications in engineering, natural sciences. Prerequisite: STAT 720. STAT 725 Time Series and Stationary Processes Credits: Spectral theory of multivariate stationary processes; estimation, testing for spectral, linear, AR-MA representations; best linear predictors, filters. Prerequisite: STAT 720 and STAT 730. STAT 730 Advanced Theory of Statistics I Credits: 4 (4-0-0) Minimal sufficiency, maximal invariance; Neyman- Pearson theory; Fisher, Kullback-Leibler information; asymptotic properties of maximum-likelihood methods. Prerequisite: STAT 530 and STAT 720. STAT 731 Advanced Theory of Statistics II Credits: Decision-theory model; Bayes, E-Bayes, complete, and admissible classes; applications to sequential analysis and design of experiments. Prerequisite: STAT 730. STAT 740 Advanced Statistical Methods Credits: Generalized additive models; recursive partitioning regression and classification; graphical models and belief networks; spatial statistics. Registration Information: Must have concurrent registration in STAT 730. STAT 750 Advanced Theory of Design Credits: Information theory; design evaluation, factorial designs and optimal designs, orthogonal and balanced arrays, designs with discrete/continuous factors. Prerequisite: STAT 650. STAT 760 Theory of Multivariate Statistics Credits: Theory of multivariate normal; maximum-likelihood inference, union-intersection testing for single sample; theory of a multivariate linear model. Registration Information: Must have concurrent registration in STAT 730 Terms Offered: Fall, Summer. STAT 770 Approximation Theory and Methods Credits: Edgeworth expansions, saddlepoint methods; applications of weak convergence and other approximation methods in mathematical statistics. Prerequisite: STAT 730. STAT 792 Seminar Credit: 1 (0-0-1) STAT 793 Seminar on Advanced Statistical Methods Credits: 3 (0-0-3) Registration Information: Must have concurrent registration in STAT 730. May be taken up to two times for credit. STAT 795 Independent Study Credits: Var[1-18] (0-0-0) STAT 796 Group Study Credits: Var[1-18] (0-0-0) STAT 799 Dissertation Credits: Var[1-18] (0-0-0)

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