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STA 392: Probability and Statistics for Engineers??
3.00 Credits
Central Michigan University
An introduction to statistical analysis emphasizing engineering applications. Topics include descriptive statistics, probability, sampling distributions, estimation, hypothesis testing, regression, quality control, and reliability. Credit may not be earned in more than one of these courses: STA 282, 382, and 392. Prerequisite: MTH 133
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STA 392 - Probability and Statistics for Engineers??
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STA 575: Statistical Programming for Data Management and Analysis??
3.00 Credits
Central Michigan University
Introduction to statistical programming for managing and analyzing data, including programming logic, data manipulation, missing data handling, basic techniques for analyzing data and creating reports. Prerequisites: STA 282 or STA 382.
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STA 575 - Statistical Programming for Data Management and Analysis??
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STA 580: Applied Statistical Methods I??
3.00 Credits
Central Michigan University
Applications of statistical methods including the usage of computer packages. Topics include forecasting, simple and multiple regression, and analysis of variance. Prerequisites: STA 282 or STA 382.
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STA 580 - Applied Statistical Methods I??
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STA 582: Experimental Designs??
3.00 Credits
Central Michigan University
Randomized block designs, Latin square designs, factorial designs, fractional factorial designs, response surface methods, robust designs. Prerequisite: STA 580.
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STA 582 - Experimental Designs??
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STA 583: Nonparametric Statistics??
3.00 Credits
Central Michigan University
Theory and applications of nonparametric methods. Topics include one-, two-, and several-sample problems, rank correlation and regression, Kolmogorov-Simirnov tests, and contingency tables. Prerequisite: STA 382.
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STA 583 - Nonparametric Statistics??
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STA 584: Mathematical Statistics I??
3.00 Credits
Central Michigan University
Probability defined on finite and infinite samples spaces, conditional probability and independence, random variables, expectations, moment-generating functions, probability models, limit theorems. Prerequisite: MTH 233.
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STA 584 - Mathematical Statistics I??
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STA 585: Mathematical Statistics II??
3.00 Credits
Central Michigan University
Introductory topics from mathematical theory of statistics: population distributions, sampling distributions, point and interval estimation, tests of hypotheses. Prerequisite: STA 584.
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STA 585 - Mathematical Statistics II??
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STA 586: Clinical Trials and Survival Analysis??
3.00 Credits
Central Michigan University
Simple and advanced statistical techniques used in the analysis and interpretation of clinical research data. Emphasis on statistical techniques commonly used in chronic disease analysis. Prerequisites: STA 382.
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STA 586 - Clinical Trials and Survival Analysis??
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STA 587: Statistical Theory and Methods for Quality Improvement??
3.00 Credits
Central Michigan University
Statistical theory and methods for optimizing quality and minimizing costs: classical and recently developed on-line methods and Taguchi's off-line quality and robust designs. Prerequisites: STA 580.
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STA 587 - Statistical Theory and Methods for Quality Improvement??
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STA 588: Sampling Techniques??
3.00 Credits
Central Michigan University
Principles of sampling; simple random sampling; stratified random sampling; systematic sampling; cluster sampling; sample size determination; ratio and regression estimates; comparisons among the designs. Prerequisites: STA 382.
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STA 588 - Sampling Techniques??
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