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by Douglas C. Montgomery and George C. Runger

Edition: 4TH 07Copyright: 2007

Publisher: John Wiley & Sons, Inc.

Published: 2007

International: No

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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.

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: Bibliography.

Appendix C: Answers to Selected Exercises.

Glossary.

Index.

Problem Solutions

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Summary

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.

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: Bibliography.

Appendix C: Answers to Selected Exercises.

Glossary.

Index.

Problem Solutions

Publisher Info

Publisher: John Wiley & Sons, Inc.

Published: 2007

International: No

Published: 2007

International: No

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.

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: Bibliography.

Appendix C: Answers to Selected Exercises.

Glossary.

Index.

Problem Solutions