### Synopses & Reviews

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 is packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives. This text shows how statistics, the science of data is just as important for engineers as the mechanical, electrical, and materials sciences.

#### Review

Montgomery and Runger offer this applied statistics text forundergraduates, designed to be accessible with one or two semesters of calculus and some matrix algebra. The first chapter introduces therole of statistics in engineering. Basic probability, discrete and continuous random variables, single-variable and joint probabilitydistributions are covered, followed by descriptive statistics, point estimations and sampling distributions. Applications of statisticaltechniques to quantitative problems include confidence intervals, hypothesis testing for a simple sample, statistical inference for twosamples, and single and multiple linear regression. Experiment design receives several chapters covering single-factor design andthe ANOVA, multifactorial design, and statistical quality control. Appendices provide statistical tables and charts, bibliography, andexercise answers. The sixth edition has been revised for clarity, updated with new examples and exercises, and includes additionalmaterial on P-values, hypothesis and equivalence testing, computational methods, and a brief introduction to decision theory.Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)

#### Review

Montgomery and Runger offer this applied statistics text forundergraduates, designed to be accessible with one or two semesters of calculus and some matrix algebra. The first chapter introduces therole of statistics in engineering. Basic probability, discrete and continuous random variables, single-variable and joint probabilitydistributions are covered, followed by descriptive statistics, point estimations and sampling distributions. Applications of statisticaltechniques to quantitative problems include confidence intervals, hypothesis testing for a simple sample, statistical inference for twosamples, and single and multiple linear regression. Experiment design receives several chapters covering single-factor design andthe ANOVA, multifactorial design, and statistical quality control. Appendices provide statistical tables and charts, bibliography, andexercise answers. The sixth edition has been revised for clarity, updated with new examples and exercises, and includes additionalmaterial on P-values, hypothesis and equivalence testing, computational methods, and a brief introduction to decision theory.Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)

#### Review

Montgomery and Runger offer this applied statistics text forundergraduates, designed to be accessible with one or two semesters of calculus and some matrix algebra. The first chapter introduces therole of statistics in engineering. Basic probability, discrete and continuous random variables, single-variable and joint probabilitydistributions are covered, followed by descriptive statistics, point estimations and sampling distributions. Applications of statisticaltechniques to quantitative problems include confidence intervals, hypothesis testing for a simple sample, statistical inference for twosamples, and single and multiple linear regression. Experiment design receives several chapters covering single-factor design andthe ANOVA, multifactorial design, and statistical quality control. Appendices provide statistical tables and charts, bibliography, andexercise answers. The sixth edition has been revised for clarity, updated with new examples and exercises, and includes additionalmaterial on P-values, hypothesis and equivalence testing, computational methods, and a brief introduction to decision theory.Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)

#### Review

Montgomery and Runger offer this applied statistics text forundergraduates, designed to be accessible with one or two semesters of calculus and some matrix algebra. The first chapter introduces therole of statistics in engineering. Basic probability, discrete and continuous random variables, single-variable and joint probabilitydistributions are covered, followed by descriptive statistics, point estimations and sampling distributions. Applications of statisticaltechniques to quantitative problems include confidence intervals, hypothesis testing for a simple sample, statistical inference for twosamples, and single and multiple linear regression. Experiment design receives several chapters covering single-factor design andthe ANOVA, multifactorial design, and statistical quality control. Appendices provide statistical tables and charts, bibliography, andexercise answers. The sixth edition has been revised for clarity, updated with new examples and exercises, and includes additionalmaterial on P-values, hypothesis and equivalence testing, computational methods, and a brief introduction to decision theory.Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)

#### Review

Montgomery and Runger offer this applied statistics text forundergraduates, designed to be accessible with one or two semesters of calculus and some matrix algebra. The first chapter introduces therole of statistics in engineering. Basic probability, discrete and continuous random variables, single-variable and joint probabilitydistributions are covered, followed by descriptive statistics, point estimations and sampling distributions. Applications of statisticaltechniques to quantitative problems include confidence intervals, hypothesis testing for a simple sample, statistical inference for twosamples, and single and multiple linear regression. Experiment design receives several chapters covering single-factor design andthe ANOVA, multifactorial design, and statistical quality control. Appendices provide statistical tables and charts, bibliography, andexercise answers. The sixth edition has been revised for clarity, updated with new examples and exercises, and includes additionalmaterial on P-values, hypothesis and equivalence testing, computational methods, and a brief introduction to decision theory.Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)

#### Review

Montgomery and Runger offer this applied statistics text forundergraduates, designed to be accessible with one or two semesters of calculus and some matrix algebra. The first chapter introduces therole of statistics in engineering. Basic probability, discrete and continuous random variables, single-variable and joint probabilitydistributions are covered, followed by descriptive statistics, point estimations and sampling distributions. Applications of statisticaltechniques to quantitative problems include confidence intervals, hypothesis testing for a simple sample, statistical inference for twosamples, and single and multiple linear regression. Experiment design receives several chapters covering single-factor design andthe ANOVA, multifactorial design, and statistical quality control. Appendices provide statistical tables and charts, bibliography, andexercise answers. The sixth edition has been revised for clarity, updated with new examples and exercises, and includes additionalmaterial on P-values, hypothesis and equivalence testing, computational methods, and a brief introduction to decision theory.Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)

#### Review

Montgomery and Runger offer this applied statistics text forundergraduates, designed to be accessible with one or two semesters of calculus and some matrix algebra. The first chapter introduces therole of statistics in engineering. Basic probability, discrete and continuous random variables, single-variable and joint probabilitydistributions are covered, followed by descriptive statistics, point estimations and sampling distributions. Applications of statisticaltechniques to quantitative problems include confidence intervals, hypothesis testing for a simple sample, statistical inference for twosamples, and single and multiple linear regression. Experiment design receives several chapters covering single-factor design andthe ANOVA, multifactorial design, and statistical quality control. Appendices provide statistical tables and charts, bibliography, andexercise answers. The sixth edition has been revised for clarity, updated with new examples and exercises, and includes additionalmaterial on P-values, hypothesis and equivalence testing, computational methods, and a brief introduction to decision theory.Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)

### 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 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