Probability & Statistics for Engineers & Scientists, Global Edition + MyLab Statistics with Pearson eText, 9th edition

Published by Pearson (November 20, 2016) © 2017

  • Ronald E. Walpole Roanoke College , Virginia Polytechnic Institute
  • Raymond H. Meyers
  • Sharon L. Meyers
  • Keying E. Ye University of Texas at San Antonio , Virginia Polytechnic Institute & State University
Products list

Title overview

This pack contains 1 copy of Probability & Statistics for Engineers & Scientists Global Edition + 1 printed access card to MyLab Statistics with eText.

Probability & Statistics for Engineers & Scientists: 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.

MyLab Statistics is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.

MyLab Statistics is not a self-paced technology and should only be purchased when required by an instructor.

Table of contents

  • Preface
  • 1. Introduction to Statistics and Data Analysis
  • 2. Probability
  • 3. Random Variables and Probability Distributions
  • 4. Mathematical Expectation
  • 5. Some Discrete Probability Distributions
  • 6. Some Continuous Probability Distributions
  • 7. Functions of Random Variables (Optional)
  • 8. Sampling Distributions and More Graphical Tools
  • 9. One- and Two-Sample Estimation Problems
  • 10. One- and Two-Sample Tests of Hypotheses
  • 11. Simple Linear Regression and Correlation
  • 12. Multiple Linear Regression and Certain Nonlinear Regression Models
  • 13. One-Factor Experiments: General
  • 14. Factorial Experiments (Two or More Factors)
  • 15. 2k Factorial Experiments and Fractions
  • 16. Nonparametric Statistics
  • 17. Statistical Quality Control
  • 18 Bayesian Statistics
  • Bibliography
  • A. Statistical Tables and Proofs
  • B. Answers to Odd-Numbered Non-Review Exercises
  • Index

Need help?Get in touch