Academics / Courses / DescriptionsGEN_ENG 231: Probability and Statistics for Engineers
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Prerequisites
GEN_ENG 150 or 151, MATH 220-2Description
Collecting, summarizing and displaying data. An introduction to probability theory and its applications. Conditional probabilities and expected values. Random variables and distributions. Drawing conclusions and making decisions using data: confidence intervals, hypotheses testing, comparison tests, regression, and correlation.
TOPICS
• The Scientific Method: A Framework for Decision Making
• Data Investigation and Presentation
• Random Variables as Probability Models
• Basic Probability
• Estimation
• Confidence Intervals for Decision Making
• Comparison Decisions
• Linear Regression for Modeling Relationships
• Multiple Regression Models for Prediction
Textbook or other resource materials
The Zybooks version of Applied Statistics and Probability for Engineers by Douglas C. Montgomery, George C. Runger, 7th Edition, Wiley, 2019 ISBN: ZY8-1-119-40036-3
Narrative Statements of Learning Objectives
• Students will be able to use the rules of probability and probability distributions to model the behavior of systems and determine the probability of various events.
• Students will be able to understand and manipulate random variables to determine and their expected value and variance.
• Students will be able to use estimators to construct and use confidence intervals for various parameters, to perform hypothesis tests, and to make engineering decisions.
• Students will be able to design and analyze experiments for comparing the performance of two options using a measurable characteristic.
• Students will be able to use regression to find potential relationships between variables and to model the behavior of systems and predict its outcomes in unobserved states.