Efnisyfirlit

• Cover
• Title Page
• Preface
• CHAPTER 1: The Role of Statistics in Engineering
• Important Terms and Concepts
• Study Resources
• Additional Study Resources
• Readings Content
• 1.1 The Engineering Method and Statistical Thinking
• 1.2 Collecting Engineering Data
• 1.3 Mechanistic and Empirical Models
• 1.4 Probability and Probability Models
• CHAPTER 2: Probability
• Exercises
• Exercises for Section 2.1
• Exercises for Section 2.2
• Exercises for Section 2.3
• Exercises for Section 2.4
• Exercises for Section 2.5
• Exercises for Section 2.6
• Exercises for Section 2.7
• Exercises for Section 2.8
• Exercises for Section 2.9
• Supplemental Exercises for Chapter 2
• Important Terms and Concepts
• Study Resources
• Section 2.1: Sample Spaces and Events
• Section 2.2: Counting Techniques
• Section 2.3: Interpretations and Axioms of Probability
• Section 2.5: Conditional Probability
• Section 2.6: Intersections of Events and Multiplication and Total Probability Rules
• Section 2.7: Independence
• Section 2.8: Bayes’ Theorem
• Additional Study Resources
• Readings Content
• 2.1 Sample Spaces and Events
• 2.2 Counting Techniques
• 2.3 Interpretations and Axioms of Probability
• 2.4 Unions of Events and Addition Rules
• 2.5 Conditional Probability
• 2.6 Intersections of Events and Multiplication and Total Probability Rules
• 2.7 Independence
• 2.8 Bayes’ Theorem
• 2.9 Random Variables
• Chapter 3: Discrete Random Variables and Probability Distributions
• Exercises
• Exercises for Section 3.1
• Exercises for Section 3.2
• Exercises for Section 3.3
• Exercises for Section 3.4
• Exercises for Section 3.5
• Exercises for Section 3.6
• Exercises for Section 3.7
• Exercises for Section 3.8
• Supplemental Exercises for Chapter 3
• Important Terms and Concepts
• Study Resources
• Section 3.1 Probability Distributions and Probability Mass Functions
• Section 3.2 Cumulative Distribution Functions
• Section 3.3 Mean and Variance of a Discrete Random Variable
• Section 3.5 Binomial Distribution
• Section 3.6 Geometric and Negative Binomial Distributions
• Section 3.7 Hypergeometric Distribution
• Section 3.8 Poisson Distribution
• Additional Study Resources
• Reading Content
• 3.1 Probability Distributions and Probability Mass Functions
• 3.2 Cumulative Distribution Functions
• 3.3 Mean and Variance of a Discrete Random Variable
• 3.4 Discrete Uniform Distribution
• 3.5 Binomial Distribution
• 3.6 Geometric and Negative Binomial Distributions
• 3.7 Hypergeometric Distribution
• 3.8 Poisson Distribution
• CHAPTER 4: Continuous Random Variables and Probability Distributions
• Exercises
• Exercises for Section 4.1
• Exercises for Section 4.2
• Exercises for Section 4.3
• Exercises for Section 4.4
• Exercises for Section 4.5
• Exercises for Section 4.6
• Exercises for Section 4.7
• Exercises for Section 4.8
• Exercises for Section 4.9
• Exercises for Section 4.10
• Exercises for Section 4.11
• Supplemental Exercises for Chapter 4
• Important Terms and Concepts
• Study Resources
• Section 4.1 Probability Distributions and Probability Density Functions
• Section 4.2 Cumulative Distribution Functions
• Section 4.3 Mean and Variance of a Continuous Random Variable
• Section 4.4 Continuous Uniform Distribution
• Section 4.5 Normal Distribution
• Section 4.6 Normal Approximation to the Binomial and Poisson Distributions
• Section 4.7 Exponential Distribution
• Section 4.9 Weibull Distribution
• Section 4.10 Lognormal Distribution
• Additional Study Resources
• Readings Content
• 4.1 Probability Distributions and Probability Density Functions
• 4.2 Cumulative Distribution Functions
• 4.3 Mean and Variance of a Continuous Random Variable
• 4.4 Continuous Uniform Distribution
• 4.5 Normal Distribution
• 4.6 Normal Approximation to the Binomial and Poisson Distributions
• 4.7 Exponential Distribution
• 4.8 Erlang and Gamma Distributions
• 4.9 Weibull Distribution
• 4.10 Lognormal Distribution
• 4.11 Beta Distribution
• CHAPTER 5: Joint Probability Distributions
• Exercises
• Exercises for Section 5.1
• Exercises for Section 5.2
• Exercises for Section 5.3
• Exercises for Section 5.4
• Exercises for Section 5.5
• Exercises for Section 5.6
• Exercises for Section 5.7
• Exercises for Section 5.8
• Supplemental Exercises for Chapter 5
• Important Terms and Concepts
• Study Resources
• Section 5.1 Joint Probability Distributions for Two Random Variables
• Section 5.2 Conditional Probability Distributions and Independence
• Section 5.4 Covariance and Correlation
• Section 5.5 Common Joint Distributions
• Section 5.6 Linear Functions of Random Variables
• Section 5.8 Moment-Generating Functions
• Additional Study Resources
• Readings Content
• 5.1 Joint Probability Distributions for Two Random Variables
• 5.2 Conditional Probability Distributions and Independence
• 5.3 Joint Probability Distributions for More Than Two Random Variables
• 5.4 Covariance and Correlation
• 5.5 Common Joint Distributions
• 5.6 Linear Functions of Random Variables
• 5.7 General Functions of Random Variables
• 5.8 Moment-Generating Functions
• CHAPTER 6: Descriptive Statistics
• Exercises
• Exercises for Section 6.1
• Exercises for Section 6.2
• Exercises for Section 6.3
• Exercises for Section 6.4
• Exercises for Section 6.5
• Exercises for Section 6.6
• Exercises for Section 6.7
• Supplemental Exercises for Chapter 6
• Important Terms and Concepts
• Study Resources
• Section 6.1 Numerical Summaries of Data
• Section 6.2 Stem-and-Leaf Diagrams
• Section 6.3 Frequency Distributions and Histograms
• Section 6.4 Box Plots
• Section 6.6 Scatter Diagrams
• Section 6.7 Probability Plots
• Additional Study Resources
• Readings Content
• 6.1 Numerical Summaries of Data
• 6.2 Stem-and-Leaf Diagrams
• 6.3 Frequency Distributions and Histograms
• 6.4 Box Plots
• 6.5 Time Sequence Plots
• 6.6 Scatter Diagrams
• 6.7 Probability Plots
• CHAPTER 7: Point Estimation of Parameters and Sampling Distributions
• Exercises
• Exercises for Section 7.2
• Exercises for Section 7.3
• Exercises for Section 7.4
• Supplemental Exercises for Chapter 7
• Important Terms and Concepts
• Study Resources
• Section 7.2 Sampling Distributions and the Central Limit Theorem
• Section 7.3 General Concepts of Point Estimation
• Section 7.4 Methods of Point Estimation
• Additional Study Resources
• Readings Content
• Introduction
• 7.1 Point Estimation
• 7.2 Sampling Distributions and the Central Limit Theorem
• 7.3 General Concepts of Point Estimation
• 7.4 Methods of Point Estimation
• CHAPTER 8: Statistical Intervals for a Single Sample
• Exercises
• Exercises for Section 8.1
• Exercises for Section 8.2
• Exercises for Section 8.3
• Exercises for Section 8.4
• Exercises for Section 8.6
• Supplemental Exercises for Chapter 8
• Important Terms and Concepts
• Study Resources
• Section 8.1 Confidence Interval on the Mean of a Normal Distribution, Variance Known
• Section 8.2 Confidence Interval on the Mean of a Normal Distribution, Variance Unknown
• Section 8.3 Confidence Interval on the Variance and Standard Deviation of a Normal Distribution
• Section 8.4 Large-Sample Confidence Interval for a Population Proportion
• Additional Study Resources
• Readings Content
• Introduction
• 8.1 Confidence Interval on the Mean of a Normal Distribution, Variance Known
• 8.2 Confidence Interval on the Mean of a Normal Distribution, Variance Unknown
• 8.3 Confidence Interval on the Variance and Standard Deviation of a Normal Distribution
• 8.4 Large-Sample Confidence Interval for a Population Proportion
• 8.5 Guidelines for Constructing Confidence Intervals
• 8.6 Bootstrap Confidence Interval
• 8.7 Tolerance and Prediction Intervals
• CHAPTER 9: Tests of Hypotheses for a Single Sample
• Exercises
• Exercises for Section 9.1
• Exercises for Section 9.2
• Exercises for Section 9.3
• Exercises for Section 9.4
• Exercises for Section 9.5
• Exercises for Section 9.7
• Exercises for Section 9.8
• Exercises for Section 9.9
• Exercises for Section 9.10
• Exercises for Section 9.11
• Supplemental Exercises for Chapter 9
• Important Terms and Concepts
• Study Resources
• Section 9.1 Hypothesis Testing
• Section 9.2 Tests on the Mean of a Normal Distribution, Variance Known
• Section 9.3 Tests on the Mean of a Normal Distribution, Variance Unknown
• Section 9.5 Tests on a Population Proportion
• Additional Study Resources
• Readings Content
• Introduction
• 9.1 Hypothesis Testing
• 9.2 Tests on the Mean of a Normal Distribution, Variance Known
• 9.3 Tests on the Mean of a Normal Distribution, Variance Unknown
• 9.4 Tests on the Variance and Standard Deviation of a Normal Distribution
• 9.5 Tests on a Population Proportion
• 9.6 Summary Table of Inference Procedures for a Single Sample
• 9.7 Testing for Goodness of Fit
• 9.8 Contingency Table Tests
• 9.9 Nonparametric Procedures
• 9.10 Equivalence Testing
• 9.11 Combining P-Values
• CHAPTER 10: Statistical Inference for Two Samples
• Exercises
• Exercises for Section 10.1
• Exercises for Section 10.2
• Exercises for Section 10.3
• Exercises for Section 10.4
• Exercises for Section 10.5
• Exercises for Section 10.6
• Supplemental Exercises for Chapter 10
• Important Terms and Concepts
• Study Resources
• Section 10.2 Inference on the Difference in Means of Two Normal Distributions, Variances Unknown
• Section 10.3 A Nonparametric Test for the Difference in Two Means
• Section 10.4 Paired t-Test
• Section 10.6 Inference on Two Population Proportions
• Additional Study Resources
• Readings Content
• 10.1 Inference on the Difference in Means of Two Normal Distributions, Variances Known
• 10.2 Inference on the Difference in Means of Two Normal Distributions, Variances Unknown
• 10.3 A Nonparametric Test for the Difference in Two Means
• 10.4 Paired t-Test
• 10.5 Inference on the Variances of Two Normal Distributions
• 10.6 Inference on Two Population Proportions
• 10.7 Summary Table and Road Map for Inference Procedures for Two Samples
• CHAPTER 11: Simple Linear Regression and Correlation
• Exercises
• Exercises for Section 11.2
• Exercises for Section 11.4
• Exercises for Sections 11.5 and 11.6
• Exercises for Section 11.7
• Exercises for Section 11.8
• Exercises for Section 11.9
• Exercises for Section 11.10
• Supplemental Exercises for Chapter 11
• Important Terms and Concepts
• Study Resources
• Section 11.2 Simple Linear Regression
• Section 11.4 Hypothesis Tests in Simple Linear Regression
• Section 11.7 Adequacy of the Regression Model
• Section 11.8 Correlation
• Section 11.9: Regression on Transformed Variables
• Additional Study Resources
• Readings Content
• 11.1 Empirical Models
• 11.2 Simple Linear Regression
• 11.3 Properties of the Least Squares Estimators
• 11.4 Hypothesis Tests in Simple Linear Regression
• 11.5 Confidence Intervals
• 11.6 Prediction of New Observations
• 11.7 Adequacy of the Regression Model
• 11.8 Correlation
• 11.9 Regression on Transformed Variables
• 11.10 Logistic Regression
• CHAPTER 12: Multiple Linear Regression
• Exercises
• Exercises for Section 12.1
• Exercises for Section 12.2
• Exercises for Sections 12.3 and 12.4
• Exercises for Section 12.5
• Exercises for Section 12.6
• Supplemental Exercises for Chapter 12
• Important Terms and Concepts
• Study Resources
• Section 12.1 Multiple Linear Regression Model
• Section 12.2 Hypothesis Tests in Multiple Linear Regression
• Section 12.5 Model Adequacy Checking
• Section 12.6 Aspects of Multiple Regression Modeling
• Additional Study Resources
• Readings Content
• 12.1 Multiple Linear Regression Model
• 12.2 Hypothesis Tests in Multiple Linear Regression
• 12.3 Confidence Intervals in Multiple Linear Regression
• 12.4 Prediction of New Observations
• 12.5 Model Adequacy Checking
• 12.6 Aspects of Multiple Regression Modeling
• CHAPTER 13: Design and Analysis of Single-Factor Experiments: The Analysis of Variance
• Exercises
• Exercises for Section 13.2
• Exercises for Section 13.3
• Exercises for Section 13.4
• Supplemental Exercises for Chapter 13
• Important Terms and Concepts
• Study Resources
• Section 13.2 Completely Randomized Single-Factor Experiment
• Section 13.3 The Random-Effects Model
• Section 13.4 Randomized Complete Block Design
• Additional Study Resources
• Readings Content
• 13.1 Designing Engineering Experiments
• 13.2 Completely Randomized Single-Factor Experiment
• 13.3 The Random-Effects Model
• 13.4 Randomized Complete Block Design
• CHAPTER 14: Design of Experiments with Several Factors
• Exercises
• Exercises for Section 14.3
• Exercises for Section 14.4
• Exercises for Section 14.5
• Exercises for Section 14.6
• Exercises for Section 14.7
• Exercises for Section 14.8
• Exercises for Section 14.9
• Exercises for Section 14.10
• Exercises for Section 14.11
• Supplemental Exercises for Chapter 14
• Important Terms and Concepts
• Study Resources
• Section 14.3 Two-Factor Factorial Experiments
• Section 14.4 General Factorial Experiments
• Section 14.5 2k Factorial Designs
• Section 14.6 Single Replicate of the 2k Design
• Additional Study Resources
• Readings Content
• 14.1 Introduction
• 14.2 Factorial Experiments
• 14.3 Two-Factor Factorial Experiments
• 14.4 General Factorial Experiments
• 14.5 2 Factorial Designs
• 14.6 Single Replicate of the 2 Design
• 14.7 Addition of Center Points to a 2 Design
• 14.8 Blocking and Confounding in the 2 Design
• 14.9 One-Half Fraction of the 2 Design
• 14.10 Smaller Fractions: The 2 Fractional Factorial
• 14.11 Response Surface Methods and Designs
• CHAPTER 15: Statistical Quality Control
• Exercises
• Exercises for Section 15.3
• Exercises for Section 15.4
• Exercises for Section 15.5
• Exercises for Section 15.6
• Exercises for Section 15.7
• Exercises for Section 15.8
• Exercises for Section 15.10
• Supplemental Exercises for Chapter 15
• Important Terms and Concepts
• Study Resources
• Section 15.3 X and R or S Control Charts
• Section 15.4 Control Charts for Individual Measurements
• Section 15.5 Process Capability
• Section 15.6 Attribute Control Charts
• Section 15.7 Control Chart Performance
• Additional Study Resources
• Readings Content
• Bowl of Beads
• 15.1 Quality Improvement and Statistics
• 15.2 Introduction to Control Charts
• 15.3 X¯ and R or S Control Charts
• 15.4 Control Charts for Individual Measurements
• 15.5 Process Capability
• 15.6 Attribute Control Charts
• 15.7 Control Chart Performance
• 15.8 Time-Weighted Charts
• 15.9 Other SPC Problem-Solving Tools
• 15.10 Decision Theory
• 15.11 Implementing SPC
• Appendices
• Appendix A: Statistical Tables and Charts
• Appendix B: Bibliography
• Appendix C: Summary of Confidence Intervals and Hypothesis Testing Equations for One‐ and Two Sample Applications
• Glossary
• Index
• End User License Agreement