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STAT 565: Survey of Statistical Methods
3.00 Credits
McNeese State University
Mathematical description of statistical models and use of statistical computer routines especially SPSS applications of statistical packages in data analysis. Directed reading and/or research project required. Notes No duplicate credit for STAT 565 and STAT 435. Prerequisite: Permission of department head. Lec. 3 Cr. 3
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STAT 565 - Survey of Statistical Methods
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STAT 567: Sampling Techniques
3.00 Credits
McNeese State University
Applications of statistical sampling theory to survey designs involving simple random, stratified and cluster samples, census and survey methods. Independent readings and presentations required. Notes No duplicate credit for STAT 567 and STAT 437. Prerequisite: Permission of department head. Lec. 3 Cr. 3
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STAT 567 - Sampling Techniques
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STAT 568: Non-Parametric Estimation
3.00 Credits
McNeese State University
Goodness-of-fit tests, rank tests, tests of association, location tests, scale tests, asymptotic theory. Directed reading and/or research project required. Notes No duplicate credit for STAT 568 and STAT 438. Prerequisite: Permission of department head. Lec. 3 Cr. 3
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STAT 568 - Non-Parametric Estimation
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STAT 571: Statistical Quality Control
3.00 Credits
McNeese State University
Development of statistical concepts and theory underlying procedures used in quality control including construction and analysis of control charts, process capability studies, sampling plans, and other topics. Independent study required. Notes No duplicate credit for STAT 441 and 571 or STAT 442 and 572 Prerequisite: MATH 292. Lec. 3 Cr. 3 each
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STAT 571 - Statistical Quality Control
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STAT 572: Statistical Quality Control
3.00 Credits
McNeese State University
Development of statistical concepts and theory underlying procedures used in quality control including construction and analysis of control charts, process capability studies, sampling plans, and other topics. Independent study required. Notes No duplicate credit for STAT 441 and 571 or STAT 442 and 572 Prerequisite: MATH 292. Lec. 3 Cr. 3 each
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STAT 572 - Statistical Quality Control
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STAT 604: Selections from Advanced Statistics
3.00 Credits
McNeese State University
Content of this course may vary with the interest of the students and the instructor. Selected topics from Statistics to include areas such as multivariate analysis and regression analysis. Notes May be repeated once as topics vary for additional credit. Prerequisite: Permission of department head. Lec. 3 Cr. 3
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STAT 604 - Selections from Advanced Statistics
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STAT 627: Applied Statistical Methods
3.00 Credits
McNeese State University
Non-theoretical approach to statistics including an introduction to basic probability, probability distributions, sampling distributions, and hypothesis testing. This course is designed to assist the graduate student in statistical research procedures. Notes Credit for this course may not be applied toward the degree of Master of Science in Mathematical Sciences. Lec. 3 Cr. 3
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STAT 627 - Applied Statistical Methods
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STAT 628: Applied Statistical Methods
3.00 Credits
McNeese State University
Non-theoretical approach to statistics including an introduction to basic probability, probability distributions, sampling distributions, hypothesis testing, regression and correlation and analysis of variance. Software packages utilized. Notes Credit for this course may not be applied toward the degree of Master of Science in Mathematical Sciences. Prerequisite: Permission of department head. Lec. 3 Cr. 3
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STAT 628 - Applied Statistical Methods
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STAT 633: Linear Statistical Models
3.00 Credits
McNeese State University
Fixed random effects models: experimental design, cross-classification, and components-of-variance models. Point and interval estimation. Tests of hypothesis. Prerequisite: MATH 322. Lec. 3 Cr. 3
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STAT 633 - Linear Statistical Models
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STAT 635: Stochastic Processes
3.00 Credits
McNeese State University
Introduction to theory and application of stochastic processes. Wiener, Poisson, normal processes; stationary and evolutionary processes. Markov chains; ergodicity. Prerequisite: MATH 430 or 431 or 560 or 561, or STAT 430 or 431 or 560 or 561. Lec. 3 Cr. 3
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