ENGR 200 – Engineering Statistics

📦 Offline Book-Style Course Package

This is the book-style offline flipbook for ENGR 200.

⬇️ Download the offline book package (stat-class.zip) Book style

1. Download the file above.
2. Unzip / extract it to a normal folder (do not open inside the zip preview).
3. Open the folder named stat-class.
4. Click statistics-level-1.html for the condensed one-page-two-chapters version.

Exams & Study Guides

📅 Final Exam: November 23, 11:30 a.m.–2:00 p.m. — in our classroom FINAL

📊 ENGR 200 Grade Calculator Try this before you take the final to see where you stand, and again after the final to estimate your overall course grade.
Uses our weights: Midterms 40%, Final 30%, Quizzes 10%, Homework 10%, Term Project 10%.

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

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

• ✅ Final — Solutions (Part I: Concepts) 63 T/F • 3 dropped Full answer key for Part I: each True/False item with the correct answer and a one-line explanation, in the same order as the actual exam.
• ✅ Final — Solutions (Part II: Calculations / Software) OLS / MLR • Excel & SPSS Complete worked solution for Part II: regression tables, β / SE / t / p, R² and F-test, VIF, and the final prediction — shown with Excel LINEST functions (no ToolPak) and aligned with the exam questions.

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: 978-1-119-94748-9

• 📄 Term Project Guide (Word, individual assignment) DUE w/ FINAL
• 📊 Term Project Dataset (Excel, individual assignment) DUE w/ FINAL
• 🔗 SPSS Instructions — Descriptives, Histogram(Y), OLS, Correlation & VIF (Option 3, optional) NEW
• 🔗 Term Project Instructions — Excel Functions GPA Demo (Option 2) NEW
• 🔗 SPSS Instructions — OLS, Correlation & VIF (Option 3, optional) NEW
• 📄 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 12: Multiple Linear Regression On Final
• 📊 Chapter 10: Statistical Inference for Two Samples (briefly covered)
• 📊 Chapter 13: Design and Analysis of Single-Factor Experiments (skipped)
• 📊 Chapter 14: Design of Engineering Experiments (skipped)
• 📊 Chapter 15: Statistical Quality Control (skipped)

Disclaimer: All materials except official PowerPoint slides are developed and provided independently via jufinance.com. Feedback and suggestions are welcome.