Applied Statistics and Probability for Engineers / Edition 5

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Overview

Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

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Editorial Reviews

Booknews
An introductory textbook for a first course in applied statistics and probability for undergraduate students in engineering and the physical or chemical sciences. All of the examples and exercises are engineering-based and in almost all cases they use real data. Throughout, output from Statgraphics and SAS is presented to exemplify what can be done with modern statistical software. Assumes one or two semesters of calculus. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780470053041
  • Publisher: Wiley
  • Publication date: 3/8/2010
  • Edition description: Older Edition
  • Edition number: 5
  • Pages: 784
  • Sales rank: 413,437
  • Product dimensions: 8.20 (w) x 10.10 (h) x 1.30 (d)

Table of Contents

INSIDE FRONT COVER Index of Applications in Examples and Exercises.

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. Sampling Distributions and Point Estimation of Parameters.

Chapter 8. Statistical Intervals for a Single Sample.

Chapter 9. Tests of Hypotheses for a Single Sample.

Chapter 10. Statistical Inference for Two Samples.

Chapter 11. Simple Linear Regression and Correlation.

Chapter 12. Multiple Linear Regression.

Chapter 13. Design and Analysis of Single-Factor Experiments: The Analysis of Variance.

Chapter 14. Design of Experiments with Several Factors.

Chapter 15. Statistical Quality Control.

Appendices.

Appendix A. Statistical Tables and Charts.

Appendix B. Answers to Selected Exercises.

Appendix C. Bibliography.

Glossary.

Index.

Index of Applications in Example and Exercises, Continued.

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