book

Applied Statistics and Probability for Engineers, 6th Edition

Name: Applied Statistics and Probability for Engineers, 6th Edition
ISBN: 9781118539712

by Douglas C. Montgomery, George C. Runger

November 2013

Intermediate to advanced

832 pages

34h 40m

English

Wiley

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Cover Page
Title Page
Copyright
Preface
INTENDED AUDIENCEORGANIZATION OF THE BOOKWHAT'S NEW IN THIS EDITIONFEATURED IN THIS BOOKSTUDENT RESOURCESINSTRUCTOR RESOURCESCOMPUTER SOFTWAREWileyPLUSCOURSE SYLLABUS SUGGESTIONSUSING THE COMPUTERACKNOWLEDGMENTS
Contents
1: The Role of Statistics in Engineering
1-1 The Engineering Method and Statistical Thinking1-2 Collecting Engineering Data1-3 Mechanistic and Empirical Models1-4 Probability and Probability Models
2: Probability
2-1 Sample Spaces and Events2-2 Interpretations and Axioms of Probability2-3 Addition Rules2-4 Conditional Probability2-5 Multiplication and Total Probability Rules2-6 Independence2-7 Bayes' Theorem2-8 Random Variables
3: Discrete Random Variables and Probability Distributions
3-1 Discrete Random Variables3-2 Probability Distributions and Probability Mass Functions3-3 Cumulative Distribution Functions3-4 Mean and Variance of a Discrete Random Variable3-5 Discrete Uniform Distribution3-6 Binomial Distribution3-7 Geometric and Negative Binomial Distributions3-8 Hypergeometric Distribution3-9 Poisson Distribution
4: Continuous Random Variables and Probability Distributions
4-1 Continuous Random Variables4-2 Probability Distributions and Probability Density Functions4-3 Cumulative Distribution Functions4-4 Mean and Variance of a Continuous Random Variable4-5 Continuous Uniform Distribution4-6 Normal Distribution4-7 Normal Approximation to the Binomial and Poisson Distributions4-8 Exponential Distribution4-9 Erlang and Gamma Distributions4-10 Weibull Distribution4-11 Lognormal Distribution4-12 Beta Distribution
5: Joint Probability Distributions
5-1 Two or More Random Variables5-2 Covariance and Correlation5-3 Common Joint Distributions5-4 Linear Functions of Random Variables5-5 General Functions of Random Variables5-6 Moment-Generating Functions

6: Descriptive Statistics
6-1 Numerical Summaries of Data6-2 Stem-and-Leaf Diagrams6-3 Frequency Distributions and Histograms6-4 Box Plots6-5 Time Sequence Plots6-6 Scatter Diagrams6-7 Probability Plots
7: Point Estimation of Parameters and Sampling Distributions
Introduction7-1 Point Estimation7-2 Sampling Distributions and the Central Limit Theorem7-3 General Concepts of Point Estimation7-4 Methods of Point Estimation
8: Statistical Intervals for a Single Sample
Introduction8-1 Confidence Interval on the Mean of a Normal Distribution, Variance Known8-2 Confidence Interval on the Mean of a Normal Distribution, Variance Unknown8-3 Confidence Interval on the Variance and Standard Deviation of a Normal Distribution8-4 Large-Sample Confidence Interval for a Population Proportion8-5 Guidelines for Constructing Confidence Intervals8.6 Bootstrap Confidence Interval8-7 Tolerance and Prediction Intervals
9: Tests of Hypotheses for a Single Sample
INTRODUCTION9-1 Hypothesis Testing9-2 Tests on the Mean of a Normal Distribution, Variance Known9-3 Tests on the Mean of a Normal Distribution, Variance Unknown9-4 Tests on the Variance and Standard Deviation of a Normal Distribution9-5 Tests on a Population Proportion9-6 Summary Table of Inference Procedures for a Single Sample9-7 Testing for Goodness of Fit9-8 Contingency Table Tests9-9 Nonparametric Procedures9-10 Equivalence Testing9-11 Combining P -Values
10: Statistical Inference for Two Samples
10-1 Inference on the Difference in Means of Two Normal Distributions, Variances Known10-2 Inference on the Difference in Means of two Normal Distributions, Variances Unknown10-3 A Nonparametric Test for the Difference in Two Means10-4 Paired t -Test10-5 Inference on the Variances of Two Normal Distributions10-6 Inference on Two Population Proportions10-7 Summary Table and Road Map for Inference Procedures for Two Samples
11: Simple Linear Regression and Correlation
11-1 Empirical Models11-2 Simple Linear Regression11-3 Properties of the Least Squares Estimators11-4 Hypothesis Tests in Simple Linear Regression11-5 Confidence Intervals11-6 Prediction of New Observations11-7 Adequacy of the Regression Model11-8 Correlation11-9 Regression on Transformed Variables11-10 Logistic Regression
12: Multiple Linear Regression
12-1 Multiple Linear Regression Model12-2 Hypothesis Tests In Multiple Linear Regression12-3 Confidence Intervals In Multiple Linear Regression12-4 Prediction of New Observations12-5 Model Adequacy Checking12-6 Aspects of Multiple Regression Modeling
13: Design and Analysis of Single-Factor Experiments: The Analysis of Variance
13-1 Designing Engineering Experiments13-2 Completely Randomized Single-Factor Experiment13-3 The Random-Effects Model13-4 Randomized Complete Block Design
14: Design of Experiments with Several Factors
14-1 Introduction14-2 Factorial Experiments14-3 Two-Factor Factorial Experiments14-4 General Factorial Experiments14-5 2 k Factorial Designs14-6 Blocking and Confounding in the 2 k Design14-7 FRACTIONAL REPLICATION OF THE 2 k DESIGN14-8 Response Surface Methods and Designs
15: Statistical Quality Control
Bowl of beads15-1 Quality Improvement and Statistics15-2 Introduction to Control Charts15-3 and R or S Control Charts15-4 Control Charts for Individual Measurements15-5 Process Capability15-6 Attribute Control Charts15-7 Control Chart Performance15-8 Time-Weighted Charts15-9 Other SPC Problem-Solving Tools15-10 Decision Theory15-11 Implementing SPC
Appendices
Appendix A: Statistical Tables and Charts
Appendix B: Bibliography
Appendix C: Answers to Selected Exercises
Glossary
Index
Index of Applications in Examples and Exercises

Content preview from Applied Statistics and Probability for Engineers, 6th Edition

Appendix A

Statistical Tables and Charts

TABLE • I Summary of Common Probability Distributions

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TABLE • II Cumulative Binomial Probabilities P(X ≤ x)

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TABLE • III Cumulative Standard Normal Distribution

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TABLE • IV Percentage Points of the Chi-Squared Distribution

TABLE • V Percentage Points ...

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Applied Statistics and Probability for Engineers, 6th Edition

by Douglas C. Montgomery, George C. Runger

Appendix A

Statistical Tables and Charts

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