Applied Statistics and Probability for Engineers [With Free Access to Online Student Resources] / Edition 4

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Overview

Real Engineering Situations, Real Engineering Data

With Montgomery and Runger’s best-selling engineering statistics text, you can learn how to apply statistics to real engineering situations. The text shows you how to use statistical methods to design and develop new products, and new manufacturing systems and processes. You’ll gain a better understanding of how these methods are used in everyday work, and get a taste of practical engineering experience through real-world, engineering-based examples and exercises.

Now revised, this Fourth Edition of Applied Statistics and Probability for Engineers features many new homework exercises, including a greater variation of problems and more computer problems.

Key Features

  • The text treats all topics in a way that reflects today's engineering realities. In the probability chapters, the authors emphasize engineering-specific examples, rather than counting methods or artificial applications such as gambling.
  • Examples and exercises throughout the text use real data and real engineering situations.
  • Coverage of probability is lively and interesting.  It is complete but concise so as not to take over the content of the entire text.
  • Thorough coverage of regression modeling, design of engineering experiments, and statistical process control from experts in these topics makes the book especially useful as a reference.
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Editorial Reviews

From the Publisher
‘Readers will find the content of the book to be useful in engineering problem solving and decision making.’ (Zentralblatt MATH,1102,May 2007)
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: 9780471745891
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 4/14/2006
  • Edition description: REV
  • Edition number: 4
  • Pages: 784
  • Product dimensions: 8.37 (w) x 10.20 (h) x 1.33 (d)

Table of Contents

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. Random Sampling and Data Description.

Chapter 7. 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. Nonparametric Statistics.

Chapter 16. Statistical Quality Control.

Appendix A. Statistical Tables and Charts.

Appendix B: Answers to Selected Exercises.

Appendix C: Bibliography Available at www.wiley.com/college/montgomery.

Glossary.

Index.

Applications in Examples and Exercises Continued.

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