Probability and Statistics: For Engineering and the Sciences

by Jay L. Devore

This is a very nice introduction to probability and statistics. The author does a great job of introducing both simple and complex concepts. Readers unfamiliar with this book can see what others have said here.

To learn this material as well as possible I worked through the book's exercises. In these notes you'll find complete solutions to the all the exercises in the book. You can find any computational exercises I did in the links below.

For a couple off years now I had been giving this material away for free to anyone who requested a copy. Recently I've decide to try to sell this material on Amazon. As such I converted the PDF format to a format I thought more people would find easier to read. You can preview and buy a kindle version of the book here.

Note: For a limited time I'm offering copies for $20.00 to anyone who would be interested in writing a review of this work on Amazon. Contact me if you are interested.

• Chapter 1 (Overview and Descriptive Statistics)
  
• Chapter 2 (Probability)
  
• Chapter 3 (Discrete Random Variables and Probability Distributions)
  
• Chapter 4 (Continuous Random Variables and Probability Distributions)
  
• Chapter 5 (Joint Probability Distributions and Random Sampling)
  
• Chapter 6 (Point Estimation)
  
• Chapter 7 (Statistical Intervals Based on a Single Sample)
  
• Chapter 9 (Inferences Based on Two Samples)
  
• Chapter 10 (The Analysis of Variance)
  
• Chapter 11 (Multifactor Analysis of Variance)
  
• Chapter 12 (Simple Linear Regression and Correlation)
  
• Chapter 13 (Nonlinear and Multiple Regression)
  
• Chapter 15 (Distribution-Free Procedures)
  
• Chapter 16 (Quality Control Methods)