Oct 01, 2022
STAT 692 - Comprehensive Exam Review
An overview of required courses in the M.S. programs in Statistics and Biostatistics. Comprehensive Exam for MS Statistics and Biostatistics programs.
Prerequisites: Admission to M.S. Statistices or M.S. Biostatistics program and department consent.
Possible Instructional Methods: Entirely On-ground.
Grading: CR/NC grading only.
Student Learning Outcomes - Upon successful completion of this course students will be able to:
- Apply statistical methodologies, including a) descriptive statistics and graphical displays, b) probability models for uncertainty, stochastic processes, and distribution theory, c) hypothesis testing and confidence intervals, d) ANOVA and regression models (including linear, and multiple linear) and analysis of residuals from models and trends.
- Derive and understand basic theory underlying these methodologies.
- Formulate and model practical problems for solutions using these methodologies.
Upon successful completion of this course, students in the M.S. Biostatistics program will have mastered the ability to:
- Produce relevant computer output using standard statistical software and interpret the results appropriately.
- Communicate statistical concepts and analytical results clearly and appropriately to others.
- Understand theory, concepts, and terminology at a level that supports lifelong learning of related methodologies.
- Apply biostatistical methods to data, including a) descriptive statistics, probability and graphical displays, b) distributions, hypothesis testing and confidence intervals, and c) uncertainty, likelihood, modeling and error analysis.
- Derive basic theory and communicate to others results involving biostatistical data analysis.
- Formulate problem solutions, produce appropriate computer code to interpret results.
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