200: Basic Statistics. 0-3-3. Preq., Mathematics ACT score is greater than or equal to 26, or Mathematics SAT is greater than or equal to 590, or Placement by Exam, or MATH 100 or 101. Sample statistics, frequencies, normal and binomial distributions, point and interval estimation, significance testing, linear regression.

400: Introduction to Probability and Statistics. 0-3-3. Preq., MATH 231. Probability, random variables, discrete and continuous distributions, mathematical expectations, estimation, hypothesis testing, regression, analysis of variance. (G)

402: Introduction to Statistical Analysis. 0-3-3. Preq., junior standing and consent of the instructor. Understanding and applying: descriptive statistics, p-values, estimation, significance, regression, correlation. Use of packaged computer programs. (G)

405: Statistical Methods. 0-3-3. Preq., MATH 231 or consent of instructor. Data description, discrete and continuous random variables, inferences about means and variances of populations, categorical data, regression, correlation, analysis of variance, computers in data analysis. (G)

506: Regression Analysis. 0-3-3. Preq., STAT 405 or equivalent. Simple and multiple regression, inferences in regression, model formulation and diagnostics, analysis of covariance, nonlinear models, estimation and inference. Use of computers in data analysis.

507: Analysis of Variance. 0-3-3. Preq., STAT 405 or equivalent. Analysis of variance for standard and unbalanced experimental designs, multiple comparisons, fixed, random, and mixed effects models. Use of computers for data analysis.

508: Biometrics. 0-3-3. Preq., a course in statistics, or consent of instructor. Binomial, and normal distributions, hypothesis testing, regression, correlation, analysis of variance.

510: Advanced Statistics For Quality Improvements. 0-3-3. Preq., STAT 506, 507, or consent of instructor. Least squares, fractional factorials, Taguchi's parameter design, performance criteria, second-order designs, fitting second-order models, exploration of response surfaces, optimization.

511: Design of Experiments. 0-3-3. Preq., STAT 506 or 507 or 508, or equivalent. Factorial and fractional factorial experiments, incomplete block designs, repeated measures, split-plot, response surface, cross-over designs, use of computers for data analysis.

520: Applied Probability and Mathematical Statistics. 0-3-3. Preq., MATH 233, a 400-level or above STAT course, or consent of instructor. Probability, random variables, discrete and continuous distributions, joint and conditional distributions, distribution of functions of random variables, expectations, moment generating functions.

525: Multivariate Statistics. 0-3-3. Preq., STAT 506 and 507, MATH 308, or consent of instructor. Tests of hypotheses on means, multivariate analysis of variance, canonical correlation, principle components, factor analysis, computer applications.

530: Nonlinear Models. 0-3-3. Preq., STAT 506, 507, MATH 233, or consent of instructor. Parameter estimation, tests of hypotheses, confidence intervals and regions, measures of curvature, use of computer algorithms.

548: Theory of Probability. 0-3-3. Preq., any 500-level STAT course, MATH 233, or consent of instructor. Combinatorial analysis, conditional probability, distribution theory, random variables, random vectors, limit theorems, random walks.

550: Practicum in Statistical Consulting. 0-1-1 (3). Preq., STAT 506, 507, 511, or equivalent. Working with clients on statistical problems arising in research, such as modeling, design, data analysis and interpretation.

556: Time Series Analysis. 0-3-3. Preq., MATH 350, STAT 520, or consent of instructor. Spectral analysis, least square filtering, parameter estimation, stationary random processes, ARIMA models, trend and seasonality.

606: Linear Statistical Models. 0-3-3. Preq., MATH 233, 308, STAT 506, 507, or consent of instructor. Generalized inverses, quadratic forms, Gauss-Markov theory, estimability, full rank models, non-full rank models, covariance analysis.

620: Theory of Probability. 0-3-3. Preq., any 500-level STAT Course, MATH 233, or consent of instructor. Combinatorial analysis, conditional probability, distribution theory, random variables, random vectors, limit theorems, random walks.

621: Theory of Statistics. 0-3-3. Preq., STAT 520 or 620 or consent of instructor. Point estimation, interval estimation, statistical hypotheses, statistical tests, nonparametric inference, normal distribution theory.

625: Multivariate Statistics. 0-3-3. Preq., STAT 506 or 507, MATH 308, or consent of instructor. Tests of hypotheses on means, multivariate analysis of variance, canonical correlation, principle components, factor analysis, computer applications.

630: Nonlinear Models. 0-3-3. Preq., STAT 506 or 507, MATH 233; or consent of instructor. Parameter estimation, tests of hypotheses, confidence intervals and regions, measures of curvature, use of computer algorithms.

650: Time Series Analysis. 0-3-3. Preq., MATH 233, STAT 506, or consent of instructor. Spectral analysis, least square filtering, parameter estimation, stationary random processes, ARIMA models, trend and seasonability.

651: Discrete Markov Processes. 0-3-3. Preq., MATH 233, 308, STAT 520, or consent of instructor. Probability generating functions, Markov chains, renewal processes, Poisson processes, branching processes.

652: Stochastic Processes. 0-3-3. Preq., STAT 520, MATH 350, or consent of instructor. Birth-death processes, random walks, diffusion processes.

680: Topics in Statistics. 0-3-3 (9). May be repeated for 3 hours credit each time.