STAT - Statistics

STAT 216Q  Introduction to Statistics: 3 Credits (3 Lec)

PREREQUISITE: Math Level 300, or a C- or better in any 100 level or above M course. (F, Sp) Traditional and resistant estimators of location and spread, fundamentals of inference using randomization and classical methods, confidence intervals, and tests of hypotheses. This course is taught in the TEAL format. COMMON FINAL ONLY

STAT 217  Intermediate Statistical Concepts: 3 Credits (3 Lec)

PREREQUISITE: C- or better in STAT 216Q or STAT 332. (F, Sp, Su) One- and two-sample tests and associated confidence intervals for means and proportions; analysis of variance; F-tests, correlation, regression, contingency tables. Statistical analysis using the computer. COMMON FINAL ONLY -

STAT 290R  Undergraduate Research: 1-8 Credits (1 Other)

PREREQUISITE: Consent of department head. (F, Sp) Directed undergraduate research. Course will address responsible conduct of research. -
Repeatable up to 8 credits.

STAT 291  Special Topics: 1-4 Credits (1-4 Lec)

PREREQUISITE: None required but some may be determined necessary. Courses not required in any curriculum for which there is a particular one-time need, or given on a trial basis to determine acceptability and demand before requesting a regular course number
Repeatable up to 12 credits.

STAT 332  Statistics for Scientists and Engineers: 3 Credits (3 Lec)

PREREQUISITE: M 172. (F, Sp) Methods of estimation, data collection, analysis and display of quantitative information, continuous and discrete random variables, families of probability distributions, hypothesis testing, regression, ANOVA

STAT 337  Intermediate Statistics with Introduction to Statistical Computing: 3 Credits (3 Lec)

PREREQUISITE: STAT 216Q or STAT 332. (F, Sp, Su) One- and two-sample tests and associated confidence intervals for means and proportions (and analogous randomization- and resampling-based techniques); One- and Two-way analysis of variance; F-tests, correlation, simple and multiple regression, contingency tables. Introduction to statistical computing, reproducible research, and analysis using a modern scripting language; emphasis on connecting study design to scope of inference in the context of authentic studies and understanding or reproducing statistical results as used in journal articles; COMMON FINAL ONLY

STAT 401  Applied Methods in Statistics: 3 Credits (2 Lec, 2 Lab)

PREREQUISITE: Graduate standing and STAT 216Q. (F) This course is intended for graduate students not majoring in mathematical sciences and not ready for STAT 511. Graphical techniques, data collection plans, populations, samples, sampling distributions, analysis of variance for one-way classifications, multiple comparisons, simple linear regression

STAT 408  Statistical Computing and Graphical Analysis: 3 Credits (3 Lec)

PREREQUISITE: STAT 217 or STAT 332 or STAT 337 or STAT 401. (Sp) Introduction to statistical packages R or SAS, including data importation, cleaning, graphing, and basic programming. Emphasis on use of graphical displays to explore, understand, and present data, and on organization of code

STAT 411  Methods for Data Analysis I: 3 Credits (2 Lec, 1 Lab)

PREREQUISITE: STAT 217Q or STAT 332 or STAT 337. (F, Sp) Introduction to statistical inference and design, t-tools, non-parametric alternatives, one-way ANOVA, simple linear regression, multiple linear regression, with an emphasis on statistical thinking, appropriate inference, interpretation of results, and writing

STAT 412  Methods for Data Analysis II: 3 Credits (2 Lec, 2 Lab)

PREREQUISITE: STAT 411. (F, Sp) Continuation of STAT 411/STAT 511 to cover principles of experimental design, multi-factor ANOVA, repeated measures, logistic regression, Poisson log-linear regression, and introductions to multivariate and time series analyses, with an emphasis on statistical thinking, appropriate inference and interpretation, and writing. Co-convened with STAT 512

STAT 421  Probability Theory: 3 Credits (3 Lec)

PREREQUISITE: M 273 and M 242 Strongly recommended. (F) Fundamentals of probability; discrete and continuous random variables; expected value; variance; joint, marginal, and conditional distributions; conditional expectations; applications; simulation; central limit theorem; order statistics

STAT 422  Mathematical Statistics: 3 Credits (3 Lec)

PREREQUISITE: STAT 421. (Sp) Senior capstone course. Introduction to the theory of point estimation, interval estimation, and hypothesis testing

STAT 425  Biostatistical Data Analysis: 3 Credits (3 Lec)

PREREQUISITE: STAT 412. () F alternate years, to be offered even years. Co-convened with STAT 525

STAT 431  Nonparametric Statistics: 3 Credits (3 Lec)

PREREQUISITE: STAT 217 or STAT 332 or STAT 337 or STAT 401 or STAT 411/STAT 511. () F alternate years, to be offered even years. Goodness-of-fit tests, sign tests, randomization and permutation tests, Wilcoxon and Mann-Whitney tests, Kruskal-Wallis and Friedman's tests, Spearman and Kendall's measures of association, bootstrap techniques, and other alternative nonparametric test procedures. Emphasis on methods and interpretations rather than theory

STAT 436  Introduction to Time Series Analysis: 3 Credits (3 Lec)

PREREQUISITE: STAT 411/STAT 511 or consent of instructor. () F alternate years, to be offered even years. An introduction to time series analysis considering time series regression, autoregressive, moving average, and ARIMA models, time series model building, estimation, and forecasting, and basic frequency domain methods. Co-convened with STAT 536

STAT 437  Introduction to Applied Multivariate Analysis: 3 Credits (3 Lec)

PREREQUISITE: STAT 411 or STAT 511 or consent of instructor. () S alternate years, to be offered odd years. Classic multivariate methods, including but not limited to principal components analysis, canonical correlation analysis, factor analysis, discrimination and classification methods, cluster analysis, and other topics may depend on instructor

STAT 439  Introduction to Categorical Data Analysis: 3 Credits (3 Lec)

PREREQUISITE: STAT 412/STAT 512. () S alternate years, to be offered even years. Contingency table analysis, Poisson regression, logistic regression, log-linear models, multicategory logit models

STAT 441  Experimental Design: 3 Credits (3 Lec)

PREREQUISITE: STAT 411/STAT 511 and M 221 or M 333 or M 441 or consent of instructor. (Sp) An introduction to the design and analysis of experiments: topics include analysis of variance methods, matrix forms, multiple comparisons, fixed and random effects, factorial designs, balanced complete and incomplete blocking designs, designs with nested effects, and split plot designs

STAT 446  Sampling: 3 Credits (3 Lec)

PREREQUISITE: STAT 217Q or STAT 332 or STAT 337 or STAT 401 or STAT 411 or STAT 511. (F) Probability sampling, sources of bias and uncertainty, survey design, methods for the natural sciences, simple random sampling, stratified random sampling, systematic sampling, cluster sampling

STAT 448  Mixed Effects Models: 3 Credits (3 Lec)

PREREQUISITE: STAT 411/STAT 511 or consent of instructor. () F alternate years, to be offered odd years. In depth analysis of random, fixed and mixed effects models including use of stat software and interpretation of results. Emphasis on observations correlated in time (repeated measures) and space, and on random coefficients models (growth curves)

STAT 490R  Undergraduate Research: 1-6 Credits (1 Other)

PREREQUISITE: Junior standing in statistics and consent of department head. (F, Sp, Su) Directed undergraduate research/creative activity which may culminate in a research paper, journal article, or undergraduate thesis. Course will address responsible conduct of research. May be repeated
Repeatable up to 12 credits.

STAT 491  Special Topics: 1-4 Credits (1-4 Lec)

PREREQUISITE: Course prerequisites as determined for each offering. On demand. Course not required in any curriculum for which there is a particular one-time need, or given on a trial basis to determine acceptability and demand before requesting a regular course number
Repeatable up to 12 credits.

STAT 492  Independent Study: 1-3 Credits (1-3 Other)

PREREQUISITE: Junior standing, consent of instructor, and approval of department head. (F, Sp) Directed research and study on an individual basis
Repeatable up to 6 credits.

STAT 494  Seminar: 1 Credits (1 Other)

PREREQUISITE: Junior standing and as determined for each offering. (Su) Topics offered at the upper division level which are not covered in regular courses. Students participate in preparing and presenting material
Repeatable up to 4 credits.

STAT 497  Educational Methods: Statistics: 1-3 Credits (1-3 Other)

PREREQUISITE: Junior standing, consent of instructor, and approval of department head. (F, Sp) As co-teachers of a Statistics course, students will learn and have the opportunity to practice classroom teaching strategies as well as mentoring skills
Repeatable up to 6 credits.

STAT 498  Internship: 2-12 Credits (2-12 Other)

PREREQUISITE: Junior standing, consent of instructor, and approval of department head. (F, Sp) An individualized assignment arranged with an agency business, or other organization to provide guided experience in the field
Repeatable up to 12 credits.

STAT 500  Applied Methods in Statistics: 4 Credits (2 Lec, 2 Lab)

PREREQUISITE: Graduate standing or consent of instructor. This course is intended for graduate students not majoring in mathematical sciences. Graphical techniques, data collection plans, populations, samples, sampling distributions, analysis of variance for one-way classifications, multiple comparisons, simple linear regression, scope of inference and transparent communication of uncertainty

STAT 501  Intermediate Probability and Statistics: 3 Credits (3 Lec)

PREREQUISITE: STAT 422 or consent of instructor. (F, Su) Families of probability distributions, distributions of functions of random variables, limiting distributions, order statistics. Cross-listed with M 501

STAT 502  Intermediate Mathematical Statistics: 3 Credits (3 Lec)

PREREQUISITE: STAT 501 or M 501. (Sp) Estimation, likelihood inference, statistical hypothesis tests, sufficient statistics, exponential families, Bayesian statistics. Cross-listed with M 502

STAT 505  Linear Models: 3 Credits (3 Lec)

PREREQUISITE: STAT 412 or STAT 512. (F) Special matrix theory for statistics, multivariate normal distribution, distributions of quadratic forms, estimation and testing for the general linear model, one-way and two-way classification models, contrasts (main effect, simple effect and interaction), multiple comparison techniques

STAT 506  Advanced Regression Analysis: 3 Credits (3 Lec)

PREREQUISITE: STAT 505. (Sp) Applications of linear models using statistical packages; detecting and dealing with violations of assumptions including nonconstant variance, nonnormality, and collinearity; mixed effects models

STAT 509  Stochastic Processes: 3 Credits (3 Lec)

PREREQUISITE: STAT 421. () S on demand. Conditional probability theory, discrete and continuous time markov chains including birth and death processes and long run behavior; Poisson processes; queuing systems; system reliability. Cross-listed with M 509

STAT 510  Statistical Consulting Seminar: 1 Credits (1 Other)

PREREQUISITE: Graduate standing in statistics. (F, Sp) Seminar discussions of issues and cases in statistical consulting. Supervised practice in consulting with researchers from various disciplines
Repeatable up to 6 credits.

STAT 511  Methods of Data Analysis I: 3 Credits (2 Lec, 1 Lab)

PREREQUISITE: Graduate standing, STAT 216Q or STAT 401, and consent of instructor. (F, Sp) This course targets non-statistics graduate students. Introduction to statistical inference and design, t-tools, non-parametric alternatives, one-way ANOVA, simple linear regression and multiple linear regression, with an emphasis on statistical thinking, appropriate inference, interpretation of results and writing. Semester project required

STAT 512  Methods of Data Analysis II: 3 Credits (2 Lec, 2 Lab)

PREREQUISITE: STAT 411/STAT 511 (co-convened). (F, Sp) Continuation of STAT 411/STAT 511 to cover principles of experimental design, multi-factor ANOVA, repeated measures, logistic regression, Poisson log-linear regression, and introductions to multivariate and time series analyses, with an emphasis on statistical thinking, appropriate inference and interpretation, and writing. A semester project is required. Co-convened with STAT 412

STAT 520  Topics in Applied Statistics: 3 Credits (3 Lec)

PREREQUISITE: STAT 422 and consent of instructor. () On demand. Current topics selected from computational statistics, time series and spatial statistics, decision theory, sampling, linear and mixed models, and multivariate statistics

STAT 525  Biostatistics: 3 Credits (3 Lec)

PREREQUISITE: STAT 412 or STAT 512 or STAT 505. (F) Department of Mathematical Sciences

STAT 528  Statistical Quality Control: 3 Credits (3 Lec)

PREREQUISITE: STAT 421 or an equivalent transfer course in probability theory. () F alternate years, to be offered odd years. Modeling process quality, traditional SQC tools, control charts for variable and attribute data, CUSUM and WMA charts, process capability analysis, reliability statistics, accelerated testing

STAT 532  Bayesian Data Analysis: 3 Credits (3 Lec)

PREREQUISITE: STAT 422 or STAT 502 or M 502 and STAT 506 recommended. (F) Fundamentals of Bayesian inference, methods of Bayesian data analysis, computational methods for posterior simulation, fundamentals of hierarchical modeling

STAT 534  Spatial Data Analysis: 3 Credits (3 Lec)

PREREQUISITE: STAT 412, STAT 512, and STAT 422, or equivalent, or consent of the instructor. () S alternate years, to be offered odd years. Statistical methods of spatial data analysis, stationary and nonstationary random fields, covariance structures, geostatistical models and analysis, spatial point process models and analysis, spatial lattice models and analysis

STAT 536  Time Series Analysis: 3 Credits (3 Lec)

PREREQUISITE: STAT 411, STAT 511, or consent of the instructor. An introduction to time series analysis considering time series regression, autoregressive, moving average, and ARIMA models, time series model building, estimation, and forecasting, and basic frequency domain methods. Co-convened with STAT 436
Department of Mathematical Sciences.

STAT 537  Multivariate Analysis I: 3 Credits (3 Lec)

PREREQUISITE: STAT 505. () S alternate years, to be offered even years. Multivariate regression, principal components analysis, exploratory and confirmatory factor analysis, discriminant and classification analysis, cluster analysis, classification and regression trees, basic structural equation modeling, along with bagging and boosting methods

STAT 538  Multivariate Analysis II: 3 Credits (3 Lec)

PREREQUISITE: STAT 537. () On demand. Special topics in multivariate analysis including general latent variable methods, analysis of covariance structures, common principle components, robust and distribution free multivariate analysis

STAT 539  Generalized Linear Models: 3 Credits (3 Lec)

PREREQUISITE: STAT 422 and STAT 411/STAT 511. () S alternate years, to be offered odd years. Analysis of categorical data including logistic regression, log-linear models, analysis of deviance, extrabinomial variation, quasi-likelihood

STAT 541  Experimental Design: 3 Credits (3 Lec)

PREREQUISITE: STAT 411/STAT 511 and M 221 or M 333 or M 441. (Sp) An introduction to the design and analysis of experiments: topics include analysis of variance methods, matrix forms, multiple comparisons, fixed and random effects, factorial designs, balanced complete and incomplete blocking designs, designs with nested effects, and split plot designs

STAT 550  Advanced Mathematical Statistics: 3 Credits (3 Lec)

PREREQUISITE: STAT 502 or M 502 and either M 384, M 505, or M 547. () S alternate years, to be offered even years. Sufficiency, completeness, ancillary statistics, invariance, likelihood-based inference, large sample theory, Edgeworth and saddlepoint approximations

STAT 575  Professional Paper and Project: 1-4 Credits (1-4 Lec)

PREREQUISITE: Graduate standing. (F, Sp, Su) A research or professional paper or project dealing with a topic in the field. The topic must have been mutually agreed upon by the student, his or her major advisor, and graduate committee
Repeatable up to 6 credits.

STAT 576  Internship: 1-12 Credits (1-12 Other)

PREREQUISITE: Graduate standing, consent of instructor and approval of department head. (F, Sp, Su) An individualized assignment arranged with an agency, business or other organization to provide guided experience in the field
Repeatable up to 99 credits.

STAT 578  Response Surface Methodology: 3 Credits (3 Lec)

PREREQUISITE: STAT 541 or STAT 505. (Su) Diagnostics; fractional-factorial designs; method of steepest ascent; canonical analysis; response optimization; ridge analysis; response surface design including central composite designs, orthogonal designs, rotatable designs, and optimal designs; mixture designs

STAT 589  Graduate Consultation: 3 Credits (3 Other)

PREREQUISITE: Master's standing. (F, Sp) This course may be used only by students who have completed all of their coursework (and thesis, if on a thesis plan) but who need additional faculty or staff time

STAT 590  Master's Thesis: 1-10 Credits (1-10 Other)

PREREQUISITE: Master's standing
Repeatable up to 99 credits.

STAT 591  Special Topics: 1-4 Credits (1-4 Lec)

PREREQUISITE: Upper division courses and others as determined for each offering. On demand. Courses not required in any curriculum for which there is a particular one time need, or given on a trial basis to determine acceptability and demand before requesting a regular course number
Repeatable up to 12 credits.

STAT 592  Independent Study: 1-3 Credits (1-3 Other)

PREREQUISITE: Graduate standing, consent of instructor, approval of department head and Dean of Graduate Studies. (F, Sp, Su) Directed research and study on an individual basis
Repeatable up to 6 credits.

STAT 594  Seminar: 1 Credits (1 Other)

PREREQUISITE: Graduate standing or seniors by petition. () On demand. Course prerequisites as determined for each offering. Topics offered at the graduate level which are not covered in regular courses. Students participate in preparing and presenting discussion material
Repeatable up to 6 credits.

STAT 689  Doc Reading & Research: 3-5 Credits (3-5 Other)

PREREQUISITE: Doctoral standing. (F, Sp, Su) This course may be used by doctoral students who are reading research publications in the field in preparation for doctoral thesis research
Repeatable up to 15 credits.

STAT 690  Doctoral Thesis: 1-10 Credits (1-10 Other)

PREREQUISITE: Doctoral standing
Repeatable up to 99 credits.