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by Douglas C. Montgomery and George C. Runger

Edition: 3RD 03Copyright: 2003

Publisher: John Wiley & Sons, Inc.

Published: 2003

International: No

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This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It's packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives.

Each copy of the book includes an e-Text on CD - that is a complete electronic version of book. This e-Text features enlarged figures, worked-out solutions, links to data sets for problems solved with a computer, multiple links between glossary terms and text sections for quick and easy reference, and a wealth of additional material to create a dynamic study environment for students.

Suitable for a one- or two-term Jr/Sr course in probability and statistics for all engineering majors.

The Role of Statistics in Engineering.

Probability.

Discrete Random Variables and Probability Distributions.

Continuous Random Variables and Probability Distributions.

Joint Probability Distributions.

Random Sampling and Data Description.

Point Estimation of Parameters.

Statistical Intervals for a Single Sample.

Tests of Hypothesis for a Single Sample.

Statistical Inference for Two Samples.

Simple Linear Regression and Correlation.

Multiple Linear Regression.

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

Design of Experiments with Several Factors.

Nonparametric Statistics.

Statistical Quality Control.

Appendix A: Statistical Tables and Charts.

Appendix B: Bibliography.

Appendix C: Answers to Selected Exercises.

Glossary.

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Summary

This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It's packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives.

Each copy of the book includes an e-Text on CD - that is a complete electronic version of book. This e-Text features enlarged figures, worked-out solutions, links to data sets for problems solved with a computer, multiple links between glossary terms and text sections for quick and easy reference, and a wealth of additional material to create a dynamic study environment for students.

Suitable for a one- or two-term Jr/Sr course in probability and statistics for all engineering majors.

Table of Contents

The Role of Statistics in Engineering.

Probability.

Discrete Random Variables and Probability Distributions.

Continuous Random Variables and Probability Distributions.

Joint Probability Distributions.

Random Sampling and Data Description.

Point Estimation of Parameters.

Statistical Intervals for a Single Sample.

Tests of Hypothesis for a Single Sample.

Statistical Inference for Two Samples.

Simple Linear Regression and Correlation.

Multiple Linear Regression.

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

Design of Experiments with Several Factors.

Nonparametric Statistics.

Statistical Quality Control.

Appendix A: Statistical Tables and Charts.

Appendix B: Bibliography.

Appendix C: Answers to Selected Exercises.

Glossary.

Publisher Info

Publisher: John Wiley & Sons, Inc.

Published: 2003

International: No

Published: 2003

International: No

Each copy of the book includes an e-Text on CD - that is a complete electronic version of book. This e-Text features enlarged figures, worked-out solutions, links to data sets for problems solved with a computer, multiple links between glossary terms and text sections for quick and easy reference, and a wealth of additional material to create a dynamic study environment for students.

Suitable for a one- or two-term Jr/Sr course in probability and statistics for all engineering majors.

The Role of Statistics in Engineering.

Probability.

Discrete Random Variables and Probability Distributions.

Continuous Random Variables and Probability Distributions.

Joint Probability Distributions.

Random Sampling and Data Description.

Point Estimation of Parameters.

Statistical Intervals for a Single Sample.

Tests of Hypothesis for a Single Sample.

Statistical Inference for Two Samples.

Simple Linear Regression and Correlation.

Multiple Linear Regression.

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

Design of Experiments with Several Factors.

Nonparametric Statistics.

Statistical Quality Control.

Appendix A: Statistical Tables and Charts.

Appendix B: Bibliography.

Appendix C: Answers to Selected Exercises.

Glossary.