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GEN_ENG 231: Probability and Statistics for Engineers


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Prerequisites

GEN_ENG 150 or 151, MATH 220-2

Description

Collection, visualization, and statistical analysis of data using modern computational tools. Introduction to probability. Conditional probability, expected value, random variables, and probability distributions. Statistical inference using confidence intervals, hypothesis testing, comparison of groups, correlation, and regression for engineering decision-making.

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
By the end of this course, students should be able to…

  • Use probability rules and probability distributions to model uncertainty and calculate the probability of engineering events.
  • Determine the probability distribution, expected value, variance, and other properties of random variables
  • Use sample data to estimate population parameters, construct confidence intervals, and perform hypothesis tests to make engineering decisions.
  • Design experiments and analyze data to evaluate engineering alternatives using quantitative performance measures.
  • Use regression to identify relationships among variables, model engineering systems, and predict outcomes for new observations.