ENGR 200 – Engineering Statistics

Exams & Study Guides

• 📘 First Midterm — Study Guide (Concepts + Calculations)
• ✅ First Midterm — Solutions (Part I) New
• ✅ First Midterm — Solutions (Part II) New

• 📘 Second Midterm — Chapters 4, 5, 6 - Study Guide (Concepts + Calculations)
• ✅ Second Midterm — Solutions (Part I)
• ✅ Second Midterm — Solutions (Part II)

• 📘 Final Exam — Chapters 7, 8, 9, 11 - Study Guide (Concepts + Calculations) (coming soon)
• ✅ Final — Solutions (Part I) (coming soon)
• ✅ Final — Solutions (Part II) (coming soon)

Course Book Info

This course covers applied statistics using engineering examples. Primary topics include probability, estimation, hypothesis testing, regression, and experimental design.

Textbook: Montgomery, Runger, & Hubele. Applied Statistics and Probability for Engineers, 7th Edition. ISBN: 978-1-119-49748-9

• 📄 Term Project Guide (Word, individual assignment)
• 📊 Term Project Dataset (Excel, individual assignment)
• 📄 Syllabus
• 📚 Calculus Foundations (PDF, refresher on differentiation & integration)
• 🤖 Engineering Robot Datasets (Excel) – Used as class examples for statistical analysis exercises
• 📎 Engineering Robot Dataset Dictionary (PDF) – Variable descriptions and context for in-class examples

We will use the Engineering Robot Datasets throughout the semester as a running example for topics such as descriptive statistics, regression, control charts, hypothesis testing, and data cleaning.

Chapters & Topics

• 📄 Day 1 = Introduction to Excel in Statistics for Engineering (Term Project Example)
• 📘 Chapter 1: The Role of Statistics in Engineering
• 📘 Chapter 2: Probability
• 📘 Chapter 3: Discrete Random Variables and Probability Distributions
• 📘 Chapter 4: Continuous Random Variables and Probability Distributions
• 📘 Chapter 5: Joint Probability Distributions
• 📘 Chapter 6: Descriptive Statistics
• 📘 Chapter 7: Point Estimation of Parameters and Sampling Distributions On Final
• 📘 Chapter 8: Statistical Intervals for a Single Sample On Final
• 📘 Chapter 9: Tests of Hypotheses for a Single Sample On Final
• 📘 Chapter 11: Simple Linear Regression and Correlation On Final
• 📊 Chapter 10: Statistical Inference for Two Samples (briefly Covered)
• 📘 Chapter 12: Multiple Linear Regression
• 📊 Chapter 13: Design and Analysis of Single-Factor Experiments (Skipped)
• 📊 Chapter 14: Design of Engineering Experiments (Skipped)
• 📊 Chapter 15: Statistical Quality Control (Skipped)

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