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STAT 191: Special Projects
1.00 - 4.00 Credits
University of Vermont
Student-designed special project under supervision of a staff member culminating in a report. Prerequisites: Junior standing, permission of Program Director. Credits: 1 - 4
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STAT 195: Special Topics
1.00 - 3.00 Credits
University of Vermont
Lectures, reports, and directed readings. Prerequisite: As listed in course schedule. Credits: 1 - 3
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STAT 200: Med Biostatistics&Epidemiology
3.00 Credits
University of Vermont
Introductory design and analysis of medical studies. Epidemiological concepts, case-control and cohort studies. Clinical trials. Students evaluate statistical aspects of published health science studies. Prerequisite: 141 or 143; or 211. Credits: 3
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STAT 200 - Med Biostatistics&Epidemiology
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STAT 201: Stat Analysis Via Computers
3.00 Credits
University of Vermont
Intensive coverage of computer-based data processing and analysis using statistical packages, subroutine libraries, and user-supplied programs. Students analyze real data and prepare a comprehensive report. Prerequisites: 111 with instructor's permission, or 141, or corequisite 211. Credits: 3
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STAT 201 - Stat Analysis Via Computers
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STAT 211: Statistical Methods I
3.00 Credits
University of Vermont
Fundamental concepts for data analysis and experimental design. Descriptive and inferential statistics, including classical and nonparametric methods, regression, correlation, and analysis of variance. Statistical software. Prerequisite: Junior standing. Credits: 3
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STAT 211 - Statistical Methods I
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STAT 221: Statistical Methods II
3.00 Credits
University of Vermont
Multiple regression and correlation. Basic experimental design. Analysis of variance (fixed, random, and mixed models). Analysis of covariance. Computer software usage. Prerequisites: 141 or 143; or 211. Credits: 3
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STAT 221 - Statistical Methods II
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STAT 223: Applied Multivariate Analysis
3.00 Credits
University of Vermont
Multivariate normal distribution. Inference for mean vectors and covariance matrices. Multivariate analysis of variance (MANOVA), discrimination and classification, principal components, factor analysis. Prerequisites: Any 200-level Statistics course, 221 or 225 recommended, matrix algebra recommended. Credits: 3
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STAT 223 - Applied Multivariate Analysis
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STAT 224: Stats for Quality&Productivity
3.00 Credits
University of Vermont
Statistical process control; Shewhart, cusum and other control charts; process capability studies. Total Quality Management. Acceptance, continuous, sequential sampling. Process design and improvement. Case studies. Prerequisites: 141 or 143; or 211. Credits: 3
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STAT 225: Applied Regression Analysis
3.00 Credits
University of Vermont
Simple linear and multiple regression models; least squares estimates, correlation, prediction, forecasting. Problems of multicollinearity and influential data (outliers). Credits: 3
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STAT 225 - Applied Regression Analysis
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STAT 227: Adv Statistical Methods II
3.00 Credits
University of Vermont
Continuation of 340. In-depth study of the analysis of variance and multiple regression. Further study of analysis and interpretation of data from the behavioral sciences. Prerequisite: 211 with computer experience or Psychology 340. Credits: 3
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STAT 227 - Adv Statistical Methods II
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