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**279.
Topics in Introductory Statistics.
(1-3 to a maximum of 3 Δ)**

****345.
Elements of Mathematical Statistics and Probability Theory.
(3)**

**427 / 527.
Advanced Data Analysis I.
(3)**

**428 / 528.
Advanced Data Analysis II.
(3)**

**434 / 534.
Contingency Tables and Dependence Structures.
(3)**

**440 / 540.
Regression Analysis.
(3)**

**445 / 545.
Analysis of Variance and Experimental Design.
(3)**

**453 / 553.
Statistical Inference with Applications.
(3)**

**461 / 561.
Probability.
(3)**

**470 / 570.
Industrial Statistics.
(3)**

**472 / 572.
Sampling Theory and Practice.
(3)**

**474 / 574.
Biostatistical Methods: Survival Analysis and Logistic Regression.
(3)**

**476 / 576.
Multivariate Analysis.
(3)**

**477 / 577.
Introduction to Bayesian Modeling.
(3)**

**479.
Topics in Statistics.
(3, no limit Δ)**

**481 / 581.
Introduction to Time Series Analysis.
(3)**

**495.
Individual Study.
(1-3 to a maximum of 6 Δ)**

**520.
Topics in Interdisciplinary Biological and Biomedical Sciences.
(3, no limit Δ)**

**527 / 427.
Advanced Data Analysis I.
(3)**

**528 / 428.
Advanced Data Analysis II.
(3)**

**534 / 434.
Contingency Tables and Dependence Structures.
(3)**

**540 / 440.
Regression Analysis.
(3)**

**545 / 445.
Analysis of Variance and Experimental Design.
(3)**

**546.
Theory of Linear Models.
(3)**

**547.
Multivariate Analysis and Advanced Linear Models.
(3)**

**553 / 453.
Statistical Inference with Applications.
(3)**

**556.
Advanced Statistical Inference I.
(3)**

**557.
Advanced Statistical Inference II.
(3)**

**561 / 461.
Probability.
(3)**

**565.
Stochastic Processes with Applications.
(3)**

**569.
Selected Topics in Probability Theory.
(3, no limit Δ)**

**570 / 470.
Industrial Statistics.
(3)**

**572 / 472.
Sampling Theory and Practice.
(3)**

**574 / 474.
Biostatistical Methods: Survival Analysis and Logistic Regression.
(3)**

**576 / 476.
Multivariate Analysis.
(3)**

**577 / 477.
Introduction to Bayesian Modeling.
(3)**

**579.
Selected Topics in Statistics.
(3, no limit Δ)**

**581 / 481.
Introduction to Time Series Analysis.
(3)**

**586.
Nonparametric Curve Estimation and Image Reconstruction.
(3)**

**590.
Statistical Computing.
(3)**

**595.
Problems.
(1-3, no limit Δ)**

**599.
Master's Thesis.
(1-6, no limit Δ)**

**605.
Graduate Colloquium.
(1, may be repeated three times Δ)**

**649.
Seminar in Probability and Statistics.
(1-3, no limit Δ)**

**650.
Reading and Research.
(1-6 to a maximum of 12 Δ)**

**699.
Dissertation.
(3-12, no limit Δ)**

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