"Everything should be made as simple as possible, but not simpler." - Albert Einstein

Catalog Descriptions

 
STAT 101. 03 (2-2-2)- Activity Based Statistics, F,SS
Prerequisite: Credit not allowed for students who have already taken any 200-level or higher statistics course.
  *NOT OFFERED EVERY YEAR
  Population sample, variation, data, relationships, probability and risk, polls, prediction, margin of error, critical assessment of studies.
   
STAT 110. 03 (2-0-1). Statistics in the Real World, S
Prerequisite: Credit not allowed for students who have already taken any 200-level or higher statistics course.
  *NOT OFFERED EVERY YEAR
  Use of statistical tools in real life problems using computer packages; integration of critical thinking skills using case studies.
   
STAT 192. 01 (0-0-1). First-Year Seminar in Mathematical Sciences. S.
Prerequisites: In order to fulfill first-year seminar requirement, students also need to pass MATH 192.
  Richness and variety of problems encountered in the mathematical sciences.
   
STAT 201. 03 (2-0-1). General Statistics. F,S,SS.
Prerequisite:Mathematics placement exam or one credit of 100-level mathematics. Credit not allowed for both STAT 201 and STAT 204. Intended as a one-semester terminal course. Credit not allowed for both STAT 201 and STAT 204.
  Graphs, descriptive statistics, confidence intervals, hypothesis tests, correlation and simple regression, tests of association.
   
STAT 204. 03 (2-2-0). Statistics for Business Students. F,S,SS.
Prerequisite: Mathematics placement exam or one credit of 100-level mathematics. Credit not allowed for both STAT 201 and STAT 204.
  Surveys, sampling, descriptive statistics, confidence intervals, contingency tables, control charts, regression, exponential smoothing, forecasting.
   
STAT 301. 03 (3-0-0). Introduction to Statistical Methods. F,S,SS.
Prerequisite: Prerequisite: MATH 117 or MATH 118 or MATH 124 or MATH 125 or MATH 126 or MATH 141 or MATH 155 or MATH 160. Credit allowed for only one course: STAT 301, STAT 307/ERHS 307, STAT 311, STAT 315.
  Techniques in statistical inference; confidence intervals, hypothesis tests, correlation and regression, analysis of variance, chi-square tests.
 
STAT 303/ECE 303. 03 (3-0-0). Introduction to Communication Principles . F.
  Prerequisite: MATH 261; ECE 311 or concurrent registration. Credit not allowed for both STAT 303 and ECE 303.
  Basic concepts in design and analysis of communication systems.
   
STAT 305. 03 (3-0-0). Sampling Techniques. F.
Prerequisite: STAT 301 or STAT 307/ERHS 307 or STAT 315 or STAT 311.
  Sample designs; simple random, stratified, systematic, cluster, unequal probability, two phase; methods of estimation and sample size determination.
   
STAT 307/ERHS 307. 03 (3-0-0). Introduction to Biostatistics. F,S,SS.
Prerequisite: MATH 118 or MATH 121. Credit allowed for only one course: STAT 301, STAT 307/ERHS 307, STAT 315, STAT 311
  Biostatistical methods; confidence intervals, hypothesis tests, simple correlation and regression, one-way analysis of variance.
   
STAT 311. 03 (3-0-0). Statistics for Behavioral Sciences I. F.
Prerequisite: MATH 118 or MATH 121. Credit allowed for only one course: STAT 301, STAT 307/ERHS 307, STAT 315, STAT 311.
  Classification, descriptive statistics; inference, testing, estimation; categorical data analysis; odds ratio.
   
STAT 312. 03 (3-0-0). Statistics for Behavioral Sciences II. S.
Prerequisite: STAT 311.
  One-way analysis of variance, factorial designs, blocked designs, multiple comparisons of means, and multiple regression.
   
STAT 315. 03 (3-0-0). Statistics for Engineers and Scientists. F,S,SS.
Prerequisite: MATH 161 or MATH 255. Credit allowed for only one course: STAT 301, STAT/ERHS 307, STAT 315, STAT 311.
  Calculus-based probability and statistics: distribution theory, estimation, hypothesis testing, applications to engineering and the sciences.
   
STAT 321. 03 (3-0-0). Elementary Probabilistic-Stochastic Modeling. S.
Prerequisite: MATH 151 or MATH 152 or MATH 155 or MATH 160;CS 156 or CS 160 /knowledge of a computer language.
  Probabilistic and stochastic models of real phenomena; distributions, expectations, correlations, averages; simple Markov chains and random walks.
 
STAT 340. 03 (3-0-0). Multiple Regression Analysis . S, SS.
  Prerequisite: STAT 301 or STAT 307/ERHS 307 or STAT 311 or STAT 315.
  Estimation and testing for linear, polynormal, and multiple regression models; analysis of residuals; selection of variables; nonlinear regression.
   
STAT 350. 03 (3-0-0). Design of Experiments. F,SS.
Prerequisite: STAT 301 or STAT 307/ERHS 307 or STAT 311 or STAT 315.
  Analysis of variance, covariance; randomization; completely randomized, randomized block, Latin-square, split-plot, factorial and other designs.
   
STAT 372. 03 (3-0-0). Data Analysis Tools. F.
Prerequisite: STAT 301 or STAT 307/ERHS 307 or STAT 315 or STAT 311.
  Data Analysis principles and practice, statistical packages and computing; ANOVA, regression and categorical data methods.
   
STAT 420. 03 (3-0-0). Probability and Mathematical Statistics I. F.
Prerequisite: MATH 255 or MATH 261.
  Probability, random variables, distribution functions, and expectations; joint and conditional distributions and expectations; transformations.
   
STAT 430. 03 (3-0-0). Probability and Mathematical Statistics II. S.
Prerequisite: STAT 420.
  Theories and applications of estimation, testing, and confidence intervals; sampling distributions including normal, gamma, beta X2, t, and F.
   
STAT 460. 03 (3-0-0). Applied Multivariate Analysis. S.
Prerequisite: STAT 340.
  Principles for multivariate estimation and testing; multivariate analysis of variance, discriminant analysis; principal components, factor analysis.
   
STAT 472. 03 (0-0-3). Statistical Consulting. S.
Prerequisite: STAT 372 or concurrent registration or written consent of instructor.
  Statistical consulting skills including data analysis, problem solving, report writing, oral communication, and planning experiments.
   
STAT 495. Variable credit. Independent Study. F,S, SS
Prerequisite: Written consent of instructor.
  STAT 498. Variable credit. Independent Study. F, S, SS
  Prerequisite: Written consent of instructor.
  Research skills and techniques; include both oral and written communication of results.
   
STAT 501. 01 (1-0-0). Statistical Science. F.
  Overview of statistics: theory; use in agriculture, business, environment, engineering; modeling; computing; statisticians as researchers/consultants.
   
STAT 511. 04 (3-0-1). Design and Data Analysis for Researchers I. F.
  Prerequisite: STAT 301 or STAT 307/ERHS 307 or STAT 311 or STAT 315.
  Statistical methods for experimenters and researchers emphasizing design and analysis of experiments.
   
STAT 512. 04 (3-0-1). Design and Data Analysis for Researchers II. S.
Prerequisite: STAT 511.
  Model building and decision making; communication of statistical information. Statistical methods for experimenters and researchers emphasizing design and analysis of experiments.
 
STAT 514/OSCR 514. 04 (3-3-0). Agricultural Experiment Design and Analysis. S.
  Prerequisite:STAT 201 or STAT 301 or STAT 307/ERHS 307. Credit allowed for only one fo the following: SOCR 414, SOCR 514, STAT 350 or STAT 514.
  Design and implementation of agricultural experiments and statistical analysis of resulting data.
   
STAT 515. 03 (2-2-0). Statistical Science and Process Improvement. S.
Prerequisite: STAT 511 or STAT 540 or CIS 570 or written consent of instructor.
  Statistical methods in process design; statistical methods; measurement processes; customer evaluation.
   
STAT 520. 04 (4-0-0). Introduction to Probability Theory. F.
Prerequisite: MATH 229, MATH 261, MATH 317.
  Probability, random variables, distributions, expectations, generating functions, limit theorems, convergence, random processes.
   
STAT 521. 03 (3-0-0). Stochastic Processes I. S.
Prerequisite: STAT 520.
  Characterization of stochastic processes, Markov chains in discrete and continuous time, branching processes, renewal theory, Brownian motion.
   
STAT 522. 03 (3-0-0). Stochastic Processes II. F.
Prerequisite: STAT 521.
  Martingales and applications, random walks, fluctuation theory, diffusion processes, point processes, queueing theory.
   
STAT 523/NR 523. 03 (3-0-0). Quantitative Spatial Analysis. S.
Prerequisite: STAT 301 or STAT 307/ERHS 307. Credit allowed for only one: STAT 523 or NR 523.
  Techniques in spatial analysis; point pattern analysis, spatial autocorrelation, trend surface and spectral analysis.
   
STAT 525. 03 (3-0-0). Analysis of Time Series I. F.
Prerequisite: STAT 430.
  Trend and seasonality, stationary processes, Hilbert space techniques, the spectral distribution function, fitting ARIMA models, linear prediction.
   
STAT 526. 03 (3-0-0). Analysis of Time Series II. S.
Prerequisite: STAT 525.
  Spectral analysis; the periodogram; spectral estimation techniques; multivariate time series; linear systems and optimal control; Kalman filtering and prediction.
   
STAT 530. 03 (3-0-0). Mathematical Statistics. S.
Prerequisite: STAT 520.
  Sampling distributions, estimation, testing, confidence intervals; exact and asymptotic theories of maximum likelihood and distribution-free methods.
   
STAT 540. 03 (3-0-0). Data Analysis and Regression. F.
Prerequisite: Six credits of upper-division statistics courses or written consent of instructor.
  Introduction to multiple regression and data analysis with emphasis on graphics and computing.
   
STAT 544/ERHS 544. 03 (3-0-0). Biostatistical Methods for Quantitative Data. S.
Prerequisite: STAT 301 or STAT 307/ERHS 307. Credit allowed for only one: STAT 544 or ERHS 544.
  Regression and analysis of variance methods applied to both observational studies and designed experiments in the biological sciences.
   
STAT 547/ECE 547. 03 (3-0-0). Statistics for Environmental Monitoring. S.
Prerequisite: STAT 301. Credit allowed for only one: STAT 547 or CHEM 547.
  Applications of statistics in environmental pollution studies involving air, water, or soil monitoring; sampling designs trend analysis; censored data.
   
STAT 560. 03 (3-0-0). Applied Multivariate Analysis. F,S.
Prerequisite: STAT 520, STAT 540.
  Multivariate analysis of variance; principal components; factor analysis; discriminant analysis; cluster analysis.
   
STAT 570. 03 (3-0-0). Nonparametric Statistics. S.
Prerequisite: STAT 430 or written consent of instructor.
 

Distribution and uses of order statistics; nonparametric inferential techniques, their uses and mathematical properties.

 
STAT 586. 01 (0-2-0). Practicum in Consulting Techniques. S.
Prerequisite: STAT 540.
 

Instruction on planning studies, writing reports, and interacting with clients. Attend and critique consulting sessions.

 
STAT 592. 01 (0-0-1). Seminar.
   
STAT 600. 03 (3-0-0). Statistical Computing. F,S.
Prerequisite: STAT 520, STAT 540
  Statistical packages; graphical data presentation; model fitting and diagnostics; random numbers; simulation; numerical methods in statistics.
   
STAT 604/BUS 604. 02 (2-0-0). Managerial Statistics. F
Prerequisites: Admission to MBA Program. Credit allowed for only one: STAT 604 or BUS 604.
  An introduction to statistical thinking and methods used to support managerial decision making.
 
STAT 605. 03 (3-0-0). Theory of Sampling Techniques. F.
Prerequisites: STAT 301 or STAT 307/ERHS 307 or STAT 315 or STAT 311, STAT 430.
  Survey designs; simple random, stratified, cluster samples; theory of estimation; optimization techniques for minimum variance or costs.
   
STAT 640. 04 (4-0-0). Design and Linear Modeling I. S.
Prerequisites: STAT 540 or written consent of instructor.
  Introduction to linear models; experimental design; fixed, random, and mixed models.
   
STAT 645. 03 (3-0-0). Categorical Data Analysis and GLIM. S.
Co-requisite: STAT 640.
  Generalized linear models, binary and polytomous data, log linear models, quasi-likelihood models, survival data models.
   
STAT 650. 03 (3-0-0). Design and Linear Modeling II. F.
Prerequisite: STAT 640 or written consent of instructor.
  Mixed factorials; response surface methodology; Taguchi methods; variance components.
   
STAT 675. A-L. Variable credit (1-3). Topics in Statistical Methods. F,S,SS.
Prerequisite: STAT 430 or written consent of instructor.  
  A. Sampling; B. Design; C. Multivariate and regression analysis; D. Computer intensive methods; F. robustness and nonparametric methods; I. Industrial statistical methods; J. Reliability; K. Bayesian statistics; L. Medical and pharmaceutical statistical methods.
 
STAT 684. Variable 1-3 credits. Supervised College Teaching. F,S,SS.

Prerequisite: Enrollment in M.S./Ph.D. program in statistics.

  STAT 201 and STAT 204 Teaching Asssistants should enroll for this course.
  Guidance and instruction in effective teaching of college courses in statistics.
 
STAT 695. Variable credit. Independent Study.

 
STAT 699. Variable credit. Thesis.

 
STAT 720. 04 (4-0-0). Probability Theory. S.
Prerequisites: STAT 520, M 517.
  Measure theoretic probability, characteristic functions; convergence; laws of large numbers; central limit, extreme value, asymptotic theory.
   
STAT 721. 03 (3-0-0). Applied Probability and Stochastic Processes I. F,S.
Prerequisite: STAT 720.
  General theory of processes; Markov processes in discrete and continuous time; review of martingales, random walk; renewal and regenerative processes.
   
STAT 722. 03 (3-0-0). Applied Probability and Stochastic Processes II. F, S, SS
Prerequisite: STAT 720.
  Brownian motion, diffusion, stochastic differential equations; weak convergence and central limit theorems. Applications in engineering, natural sciences.
   
STAT 725. 03 (3-0-0). Time Series and Stationary Processes. F,S,SS.
Prerequisite: STAT 720, STAT 730.
  Spectral theory of multivariate stationary processes; estimation, testing for spectral, linear, ARMA representations; best linear predictors, filters.
   
STAT 730. 04 (4-0-0). Advanced Theory of Statistics I. F.
Prerequisites: STAT 530, STAT 720.
  Minimal sufficiency, maximal invariance; Neyman-Pearson theory; Fisher, Kullback-Leibler information; asymptotic properties of maximum-likelihood methods.
   
STAT 731. 03 (3-0-0). Advanced Theory of Statistics II. S,SS.
Prerequisite: STAT 730.
  Decision-theory model; Bayes, e-Bayes, complete, and admissible classes; applications to sequential analysis and design of experiments.
   
STAT 740. 03 (3-0-0). Advanced Statistical Methods. F,S.
Prerequisite: STAT 640, concurrent registration in STAT 730.
  Generalized additive models; recursive partitioning regression and classification; graphical models and belief networks, spatial statistics.
   
STAT 750. 03 (3-0-0). Advanced Theory of Design. F,S.
Prerequisite: STAT 650 or written consent of instructor.
  Information theory; design evaluation, factorial designs and optimal designs, orthogonal and balanced arrays, designs with discrete/continuous factors.
   
STAT 760. 03 (3-0-0). Theory of Multivariate Statistics. F,SS.
Prerequisite: STAT 640, concurrent registration in STAT 730.
  Theory of multivariate normal; maximum-likelihood inference, union-intersection testing for single sample; theory of a multivariate linear model.
   
STAT 770. 03 (3-0-0). Approximation Theory and Methods. F,S.
Prerequisite: STAT 730.
  Edgeworth expansions, saddlepoint methods; applications of weak convergence and other approximation methods in mathematical statistics.
 
STAT 792. 01 (0-0-1). Seminar.

STAT 795. Variable credit. Independent Study.

STAT 796. Variable credit. Group Study.
Methodology, stochastic processes, experimental design, multidimensional statistics.
 
STAT 799. Variable credit. Dissertation.