Probability and Statistics for Engineers and Scientists, Updated 9th Edition, by Pearson

For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science.
This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.
New and Updated Features –
1. Real-life applications of the Poisson, binomial, and hyper-geometric distributions generate student interest using topics such as flaws in manufactured copper wire, highway potholes, hospital patient traffic, airport luggage screening, and homeland security.
2. Case studies provide deeper insight into the practicality of the concepts.
3. Statistical software coverage in case studies includes SAS® and MINITAB®, with screenshots and graphics as appropriate.