### STATISTICS

STAT-099

STAT-196
Selected Topics: Non-recurring (1-6)

Selected Topics: Non-Recurring (1-6) Topics vary by section. Repeatable for credit with different topic.

STAT-202
Basic Statistics (4)

Basic Statistics (4) Data presentation, display, and summary, averages, dispersion, simple linear regression, and correlation, probability, sampling distributions, confidence intervals, and tests of significance. Use of statistical software both to analyze real data and to demonstrate and explore concepts. Usually Offered: fall, spring, and summer. Prerequisite: MATH-15x or higher. Note: students may receive credit for only one of STAT-202, STAT-203, or STAT-204.

STAT-203
Basic Statistics with Calculus (4)

Basic Statistics with Calculus (4) A calculus-based introduction to basic statistics including data presentation, display and summary, correlation, development of least squares regression models, probability, independence, probability density functions, moments, use of moment generating functions, sampling distributions, confidence intervals, and tests of significance. Concepts are explored through simulation and the use of the calculus tools of finding maxima and minima of a function and the area under a curve. Usually Offered: fall and spring. Prerequisite: MATH-221 or one semester of calculus. Note: students may receive credit for only one of STAT-202, STAT-203, or STAT-204.

STAT-204

Introduction to Business Statistics (4) Statistical concepts and methods used in business decision making. Topics include probability rules, discrete and continuous distributions, descriptive and graphical statistics, estimation, confidence intervals, hypothesis testing, analysis of variance, regression, and applications of MS Excel data analysis tools to economic and business data. Usually Offered: fall and spring. Grading: A-F only. Prerequisite: MATH-150, MATH-151, MATH-154, or MATH-155. Note: students may receive credit for only one of STAT-202, STAT-203, or STAT-204.

STAT-294
Community Service-Learning Project (1)

Community Service-Learning Project (1) Grading: Pass/Fail only. Permission: instructor and Center for Community Engagement & Service.

STAT-296
Selected Topics: Non-recurring (1-6)

Selected Topics: Non-Recurring (1-6) Topics vary by section. Repeatable for credit with different topic.

STAT-302
Intermediate Statistics (3)

Intermediate Statistics (3) Methods include techniques for estimation and inference with qualitative and quantitative data focusing on simple linear and multiple regression, correlation, logistic regression, and analysis of variance. Usually Offered: fall and spring. Prerequisite: STAT-202 or STAT-203 with a grade of C or higher. Note: Students may receive credit for only one of STAT-302, STAT-320, and STAT-514.

STAT-320
Biostatistics (3)

Biostatistics (3) This course examines how statistical methods are utilized within the fields of biology, medicine, and public health. Advanced statistical methods, including ANOVA, multiple regression, analysis of covariance, survival analysis, and nonparametric methods are discussed, with emphasis on their applicability to public health. Usually Offered: spring. Prerequisite: STAT-202 or STAT-203. Note: Note: students may receive credit for only one of STAT-302, STAT-320, or STAT-514.

STAT-370
Introduction to Statistical Computing and Modeling (3)

Introduction to Statistical Computing and Modeling (3) The basics of programming using the open source statistical program R. Data analysis, both numerical and qualitative, including graphical and formal inference. Applications include numerical methods, text mining, modeling, and simulation. Usually Offered: spring. Prerequisite: MATH-221 and STAT-202 or STAT-203.

STAT-390
Independent Reading Course in Statistics (1-6)

Independent Reading Course in Statistics (1-6) Permission: instructor and department chair.

STAT-394
Community Service-Learning Project (1)

Community Service-Learning Project (1) Grading: Pass/Fail only. Permission: instructor and Center for Community Engagement & Service.

STAT-396
Selected Topics: Non-recurring (1-6)

Selected Topics: Non-Recurring (1-6) Topics vary by section. Repeatable for credit with different topic.

STAT-402
Introduction to Mathematical Statistics (3)

Introduction to Mathematical Statistics (3) Probability, probability distributions, sampling, sampling distributions, and introduction to the theory of point estimation and statistical inference, including confidence intervals and hypothesis testing. Usually Offered: spring. Prerequisite: MATH-401.

STAT-405
Introduction to Survey Sampling (3)

Introduction to Survey Sampling (3) This course introduces the basic approaches to surveys, including simple random, systematic, and stratified sampling. Also included is the design of questionnaires and the analysis of sample data. Emphasis is on the practical application of sampling. Crosslist: STAT-605. Usually Offered: alternate falls. Prerequisite: STAT-202, STAT-203, or STAT-514.

STAT-412
Statistical Programming in R (3)

Statistical Programming in R (3) The basics of programming using the open source statistical program R. Includes imputing data, performing basic analyses, graphing, data types, control structures and functions in base R, and using packages to expand R's capabilities. Crosslist: STAT-612. Usually offered: fall. Prerequisite: two mathematics or statistic courses at the 200-level or above, or STAT-514.

STAT-413
Data Science (3)

Data Science (3) This course focuses on the collection, organization, analysis, interpretation, and presentation of data. Topics include the acquisition, cleaning, and imputation of data from a variety of sources; data visualization and graphing; data presentation and packaging; and programming considerations for large datasets. The course uses R packages and programming language. Crosslist: STAT-613. Usually offered: spring. Prerequisite: STAT-412.

STAT-415
Regression (3)

Regression (3) Simple and multiple regression, least squares, curve fitting, graphic techniques, and tests and confidence intervals for regression coefficients. Crosslist: STAT-615. Usually Offered: fall and summer. Prerequisite: STAT-302, STAT-320, or STAT-514.

STAT-422

Advanced Biostatistics (3) Introduction to methodologies used to understand complex problems in four major areas of biomedical science: clinical trials, epidemiology, survival analysis, and bioinformatics. Phases of clinical trials, dynamics of epidemiology and disease, estimation of survival, hazard and mortality functions, and analysis of gene expression data are covered. Crosslist: STAT-622. Usually Offered: fall. Grading: A-F only. Prerequisite: STAT-302, or STAT-320, or STAT-514.

STAT-424
Data Analysis (3)

Data Analysis (3) An introduction to exploratory data analysis including graphical summaries, model assessment and selection, model inference and averaging, and data mining elements. Explores supervised statistical learning for regression and classification, unsupervised machine learning algorithms, and related topics. Crosslist: STAT-624. Usually Offered: spring. Prerequisite: STAT-415.

STAT-425
Statistical Software (3)

Statistical Software (3) Introduction to the use of the SAS language to prepare, modify, and analyze data, interpret output and final preparation of results. Emphasis on practical programming principles and use of built-in procedures. Comparisons with other programming languages. Crosslist: STAT-625. Usually Offered: fall. Prerequisite: STAT-514 or two statistics courses.

STAT-427
Statistical Machine Learning (3)

Statistical Machine Learning (3) Introduction to statistical concepts, models, and algorithms of machine learning. Explores supervised learning for regression and classification, unsupervised learning for clustering and principal components analysis, and related topics such as discriminant analysis, splines, lasso and other shrinkage methods, bootstrap, regression, and classification trees, and support vector machines, along with their tuning, diagnostics, and performance evaluation. Crosslist: STAT-627. Prerequisite: STAT-415.

STAT-490
Independent Study Project in Statistics (1-6)

Independent Study Project in Statistics (1-6) Permission: instructor and department chair.

STAT-491
Internship in Statistics (1-6)

Internship (1-6) Permission: instructor and department chair.

STAT-496
Selected Topics: Non-recurring (1-6)

Selected Topics: Non-Recurring (1-6) Topics vary by section. Repeatable for credit with different topic.

STAT-514
Statistical Methods (3)

Statistical Methods (3) Averages, dispersion, probability, sampling, and approach to normality; simple and multiple regression; tests and confidence intervals for means, proportions, differences, and regression coefficients; nonparametric statistics; and analysis of variance. Usually Offered: fall, spring, and summer. Prerequisite: STAT-202 or STAT-203. Note: Does not carry credit for graduate programs in mathematics or statistics; students may not receive credit for STAT-514, STAT-320, and STAT-302.

STAT-516
Design of Experiments (3)

Design of Experiments (3) Design and analysis of the results of balanced experiments, simple analysis of variance, components of variance, analysis of covariance, and related subjects. Usually Offered: spring. Prerequisite: STAT-302, STAT-320, or STAT-514.

STAT-517
Special Topics in Statistical Methodology (3)

Special Topics in Statistical Methodology (3) Topics vary by section. Alternating topics in statistics from an applied viewpoint. Topics include sampling, multivariate techniques, factor analysis, and time series. Usually Offered: alternate summers (odd years). Repeatable for credit with different topic. Prerequisite: STAT-302, STAT-320, or STAT-514.

STAT-519
Nonparametric Statistics (3)

Nonparametric Statistics (3) Application of nonparametric techniques in the analysis of social science data, with emphasis on tests appropriate for data having interval, nominal, and ordinal scales. Usually Offered: alternate falls (even years). Prerequisite: STAT-302, STAT-320, or STAT-514.

STAT-520
Applied Multivariate Analysis (3)

Applied Multivariate Analysis (3) Introduction to multivariate analysis emphasizing statistical applications. Includes matrix theory, multivariate distributions, tests of hypotheses, multivariate analysis of variance, principal components, discriminant analysis, canonical correlation, multivariate regression, and related subjects. Usually Offered: alternate falls (odd years). Prerequisite: STAT-302, STAT-320, or STAT-514.

STAT-521
Analysis of Categorical Data (3)

Analysis of Categorical Data (3) Chi-square tests, contingency tables (2X2, rXc, and multidimensional), loglinear models, and other special models. Usually Offered: alternate springs (even years). Prerequisite: STAT-302 or STAT-514.

STAT-522
Time-Series Analysis (3)

Time-Series Analysis (3) An introduction to the theory of time-dependent data. The analysis includes modeling, estimation, and testing of data in the time domain using autoregressive and moving average models. Usually Offered: alternate springs (odd years). Prerequisite: STAT-415 or STAT-520 or STAT-615.

STAT-584
Introduction to Stochastic Processes (3)

Introduction to Stochastic Processes (3) Introduction to random walks, Markov chains and processes, Poisson processes, recurrent events, birth and death processes, and related subjects. Usually Offered: alternate springs. Prerequisite: STAT-630.

STAT-590
Independent Reading Course in Statistics (1-6)

Independent Reading Course in Statistics (1-6) Permission: instructor and department chair.

STAT-596
Selected Topics: Non-recurring (1-6)

Selected Topics: Non-Recurring (1-6) Topics vary by section. Repeatable for credit with different topic.

STAT-601
Topics in Advanced Probability and Statistics (3)

Topics in Advanced Probability and Statistics (3) Topics vary by section. Mathematical foundations of statistical theory. Special topics in probability and mathematical statistics. Usually Offered: alternate springs (odd years). Repeatable for credit with different topic. Permission: instructor.

STAT-605
Introduction to Survey Sampling (3)

Introduction to Survey Sampling (3) This course introduces the basic approaches to surveys, including simple random, systematic, and stratified sampling. Also included is the design of questionnaires and the analysis of sample data. Emphasis is on the practical application of sampling. Crosslist: STAT-405. Usually Offered: alternate falls. Prerequisite: STAT-514.

STAT-610
Statistical Inference: Estimation (3)

Statistical Inference: Estimation (3) The mathematical foundations of statistical inference; the Theory of Estimation including minimum risk-, Bayes-, minimax-, and equivariant estimation; decision theory; and large sample behavior. Usually Offered: alternate falls (even years). Prerequisite: STAT-632.

STAT-611
Theory of Sampling (3)

Theory of Sampling (3) This course covers the mathematical development of the principles of survey design, including methods for determining expected value, bias, variance, and mean square error; simple random, systematic, stratified, cluster, multistage, and double sampling; unbiased, ration, regression and composite estimation; measurement error; and comparison of alternative designs. Usually Offered: alternate springs. Prerequisite: STAT-605.

STAT-612
Statistical Programming in R (3)

Statistical Programming in R (3) The basics of programming using the open source statistical program R. Includes imputing data, performing basic analyses, graphing, data types, control structures and functions in base R, and using packages to expand R's capabilities. Crosslist: STAT-412. Usually offered: fall. Grading: A-F only. Prerequisite: STAT-514.

STAT-613
Data Science (3)

Data Science (3) This course focuses on the collection, organization, analysis, interpretation, and presentation of data. Topics include the acquisition, cleaning, and imputation of data from a variety of sources; data visualization and graphing; data presentation and packaging; and programming considerations for large datasets. The course uses R packages and programming language. Crosslist: STAT-413 Usually offered: spring. Grading: A-F only. Prerequisite: STAT-612.

STAT-615
Regression (3)

Regression (3) Simple and multiple regression, least squares, curve fitting, graphic techniques, and tests and confidence intervals for regression coefficients. Crosslist: STAT-415. Usually Offered: fall and summer. Prerequisite: STAT-514.

STAT-616
Generalized Linear Models (3)

Generalized Linear Models (3) Extension of regression methodology to more general settings where standard assumptions for ordinary least squares are violated. Generalized least squares, robust regression, bootstrap, regression in the presence of auto-correlated errors, generalized linear models, logistic and Poisson regression. Usually Offered: spring. Prerequisite: STAT-615 and a course in calculus.

STAT-618
Bayesian Statistics (3)

Bayesian Statistics (3) Principles and applications of modern statistical decision theory, with a special focus on Bayesian modeling, data analysis, inference, and optimal decision making. Prior and posterior; comparison of Bayesian and frequentist approaches, including minimax decision making and elementary game theory. Bayesian estimation, hypothesis testing, credible sets, and Bayesian prediction. Introduction to Bayesian computing software and applications to diverse fields. Grading: A-F only. Prerequisite: STAT-514.

STAT-622

Advanced Biostatistics (3) Introduction to methodologies used to understand complex problems in four major areas of biomedical science: clinical trials, epidemiology, survival analysis, and bioinformatics. Phases of clinical trials, dynamics of epidemiology and disease, estimation of survival, hazard and mortality functions, and analysis of gene expression data are covered. Crosslist: STAT-422. Usually Offered: fall. Grading: A-F only. Prerequisite: STAT-514.

STAT-624
Data Analysis (3)

Data Analysis (3) An introduction to exploratory data analysis including graphical summaries, model assessment and selection, model inference and averaging, and data mining elements. Explores supervised statistical learning for regression and classification, unsupervised machine learning algorithms, and related topics. Crosslist: STAT-424. Usually Offered: spring. Prerequisite: STAT-520 or STAT-615.

STAT-625
Statistical Software (3)

Statistical Software (3) Introduction to the use of the SAS language to prepare, modify, and analyze data, interpret output and final preparation of results. Emphasis on practical programming principles and use of built-in procedures. Comparisons with other programming languages. Crosslist: STAT-425. Usually Offered: fall. Prerequisite: STAT-514 or two statistics courses.

STAT-627
Statistical Machine Learning (3)

Statistical Machine Learning (3) Introduction to statistical concepts, models, and algorithms of machine learning. Explores supervised learning for regression and classification, unsupervised learning for clustering and principal components analysis, and related topics such as discriminant analysis, splines, lasso and other shrinkage methods, bootstrap, regression, and classification trees, and support vector machines, along with their tuning, diagnostics, and performance evaluation. Crosslist: STAT-427. Grading: A-F only. Prerequisite: STAT-520 or STAT-615.

STAT-630
Mathematical Statistics I (3)

Mathematical Statistics I (3) Probability, random variables, probability distributions and functions of random variables, generating functions, order statistics, the theory of point estimation, (maximum likelihood, minimum variance unbiased estimators, confidence intervals), and theory of hypothesis testing (Neyman-Pearson, likelihood ratio, etc.). Usually Offered: fall.

STAT-631
Mathematical Statistics II (3)

Mathematical Statistics II (3) Probability, random variables, probability distributions and functions of random variables, generating functions, order statistics, the theory of point estimation, (maximum likelihood, minimum variance unbiased estimators, confidence intervals), and theory of hypothesis testing (Neyman-Pearson, likelihood ratio, etc.). Usually Offered: spring. Prerequisite: STAT-630.

STAT-632

Advanced Mathematical Statistics (3) Theory of estimation, properties of estimators, large-sample properties and techniques, and applications. Usually Offered: fall. Prerequisite: STAT-631.

STAT-690
Independent Study Project in Statistics (1-6)

Independent Study Project in Statistics (1-6) Permission: instructor and department chair.

STAT-691
Internship in Statistics (1-6)

Internship in Statistics (1-6) Individual placement and supervision in an approved organization involving statistical analysis, methodology, or theory. Permission: instructor and department chair.

STAT-696
Selected Topics: Non-recurring (1-6)

Selected Topics: Non-Recurring (1-6) Topics vary by section. Repeatable for credit with different topic.

STAT-796
Selected Topics: Non-Recurring (1-6)

Selected Topics: Non-Recurring (1-6) Topics vary by section. Repeatable for credit with different topic.

STAT-797
Master's Thesis Research (1-6)