Cover
Title Page
Copyright Page
About the Author
Brief Contents
Contents
Preface
Acknowledgments
Chapter 1 Sampling and Descriptive Statistics
Introduction
1.1 Sampling
1.2 Summary Statistics
1.3 Graphical Summaries
Chapter 2 Probability
Introduction
2.1 Basic Ideas
2.2 Counting Methods
2.3 Conditional Probability and Independence
2.4 Random Variables
2.5 Linear Functions of Random Variables
2.6 Jointly Distributed Random Variables
Chapter 3 Propagation of Error
Introduction
3.1 Measurement Error
3.2 Linear Combinations of Measurements
3.3 Uncertainties for Functions of One Measurement
3.4 Uncertainties for Functions of Several Measurements
Chapter 4 Commonly Used Distributions
Introduction
4.1 The Bernoulli Distribution
4.2 The Binomial Distribution
4.3 The Poisson Distribution
4.4 Some Other Discrete Distributions
4.5 The Normal Distribution
4.6 The Lognormal Distribution
4.7 The Exponential Distribution
4.8 Some Other Continuous Distributions
4.9 Some Principles of Point Estimation
4.10 Probability Plots
4.11 The Central Limit Theorem
4.12 Simulation
Chapter 5 Confidence Intervals
Introduction
5.1 Confidence Intervals for a Population Mean, Variance Known
5.2 Confidence Intervals for a Population Mean, Variance Unknown
5.3 Confidence Intervals for Proportions
5.4 Confidence Intervals for the Difference Between Two Means
5.5 Confidence Intervals for the Difference Between Two Proportions
5.6 Confidence Intervals with Paired Data
5.7 Confidence Intervals for the Variance and Standard Deviation of a Normal Population
5.8 Prediction Intervals and Tolerance Intervals
5.9 Using Simulation to Construct Confidence Intervals
Chapter 6 Hypothesis Testing
Introduction
6.1 Tests for a Population Mean, Variance Known
6.2 Drawing Conclusions from the Results of Hypothesis Tests
6.3 Tests for a Population Mean, Variance Unknown
6.4 Tests for a Population Proportion
6.5 Tests for the Difference Between Two Means
6.6 Tests for the Difference Between Two Proportions
6.7 Tests with Paired Data
6.8 Distribution-Free Tests
6.9 Tests with Categorical Data
6.10 Tests for Variances of Normal Populations
6.11 Fixed-Level Testing
6.12 Power
6.13 Multiple Tests
6.14 Using Simulation to Perform Hypothesis Tests
Chapter 7 Correlation and Simple Linear Regression
Introduction
7.1 Correlation
7.2 The Least-Squares Line
7.3 Uncertainties in the Least-Squares Coefficients
7.4 Checking Assumptions and Transforming Data
Chapter 8 Multiple Regression
Introduction
8.1 The Multiple Regression Model
8.2 Confounding and Collinearity
8.3 Model Selection
Chapter 9 Factorial Experiments
Introduction
9.1 One-Factor Experiments
9.2 Pairwise Comparisons in One-Factor Experiments
9.3 Two-Factor Experiments
9.4 Randomized Complete Block Designs
9.5 2p Factorial Experiments
Chapter 10 Statistical Quality Control
Introduction
10.1 Basic Ideas
10.2 Control Charts for Variables
10.3 Control Charts for Attributes
10.4 The CUSUM Chart
10.5 Process Capability
Appendix A: Tables
Appendix B: Partial Derivatives
Appendix C: Data Sets
Appendix D: References
Answers to Selected Exercises
Index