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 1 Overview and Descriptive Statistics
  Introduction
  1.1 Populations, Samples, and Processes
  1.2 Pictorial and Tabular Methods in Descriptive Statistics
  1.3 Measures of Location
  1.4 Measures of Variability
  Supplementary Exercises
  Bibliography
 2 Probability
  Introduction
  2.1 Sample Spaces and Events
  2.2 Axioms, Interpretations, and Properties of Probability
  2.3 Counting Techniques
  2.4 Conditional Probability
  2.5 Independence
  Supplementary Exercises
  Bibliography
 3 Discrete Random Variables and Probability Distributions
  Introduction
  3.1 Random Variables
  3.2 Probability Distributions for Discrete Random Variables
  3.3 Expected Values of Discrete Random Variables
  3.4 The Binomial Probability Distribution
  3.5 Hypergeometric and Negative Binomial Distributions
  3.6 The Poisson Probability Distribution
  Supplementary Exercises
  Bibliography
 4 Continuous Random Variables and Probability Distributions
  Introduction
  4.1 Continuous Random Variables and Probability Density Functions
  4.2 Cumulative Distribution Functions and Expected Values
  4.3 The Normal Distribution
  4.4 The Gamma Distribution and Its Relatives
  4.5 Other Continuous Distributions
  4.6 Probability Plots
  Supplementary Exercises
  Bibliography
 5 Joint Probability Distributions and Random Samples
  Introduction
  5.1 Jointly Distributed Random Variables
  5.2 Expected Values, Covariance, and Correlation
  5.3 Statistics and Their Distributions
  5.4 The Distribution of the Sample Mean
  5.5 The Distribution of a Linear Combination
  Supplementary Exercises
  Bibliography
 6 Point Estimation
  Introduction
  6.1 Some General Concepts of Point Estimation
  6.2 Methods of Point Estimation
  Supplementary Exercises
  Bibliography
 7 Statistical Intervals Based on a Single Sample
  Introduction
  7.1 Basic Properties of Confidence Intervals
  7.2 Large-Sample Confidence Intervals for a Population Mean and Proportion
  7.3 Intervals Based on a Normal Population Distribution
  7.4 Confidence Intervals for the Variance and Standard Deviation of a Normal Population
  Supplementary Exercises
  Bibliography
 8 Tests of Hypotheses Based on a Single Sample
  Introduction
  8.1 Hypotheses and Test Procedures
  8.2 Tests About a Population Mean
  8.3 Tests Concerning a Population Proportion
  8.4 P-Values
  8.5 Some Comments on Selecting a Test Procedure
  Supplementary Exercises
  Bibliography
 9 Inferences Based on Two Samples
  Introduction
  9.1 z Tests and Confidence Intervals for a Difference Between Two Population Means
  9.2 The Two-Sample t Test and Confidence Interval
  9.3 Analysis of Paired Data
  9.4 Inferences Concerning a Difference Between Population Proportions
  9.5 Inferences Concerning Two Population Variances
  Supplementary Exercises
  Bibliography
 10 The Analysis of Variance
  Introduction
  10.1 Single-Factor ANOVA
  10.2 Multiple Comparisons in ANOVA
  10.3 More on Single-Factor ANOVA
  Supplementary Exercises
  Bibliography
 11 Multifactor Analysis of Variance
  Introduction
  11.1 Two-Factor ANOVA with Kij=1
  11.2 Two-Factor ANOVA with Kij＞1
  11.3 Three-Factor ANOVA
  11.4 2p Factorial Experiments
  Supplementary Exercises
  Bibliography
 12 Simple Linear Regression and Correlation
  Introduction
  12.1 The Simple Linear Regression Model
  12.2 Estimating Model Parameters
  12.3 Inferences About the Slope Parameter b1
  12.4 Inferences Concerning μY·x* and the Prediction of Future Y Values
  12.5 Correlation
  Supplementary Exercises
  Bibliography
 13 Nonlinear and Multiple Regression
  Introduction
  13.1 Aptness of the Model and Model Checking
  13.2 Regression with Transformed Variables
  13.3 Polynomial Regression
  13.4 Multiple Regression Analysis
  13.5 Other Issues in Multiple Regression
  Supplementary Exercises
  Bibliography
 14 The Analysis of Categorical Data
  Introduction
  14.1 Goodness-of-Fit Tests When Category Probabilities Are Completely Specified
  14.2 Goodness of Fit for Composite Hypotheses
  14.3 Two-Way Contingency Tables
  Supplementary Exercises
  Bibliography
 15 Distribution-Free Procedures
  Introduction
  15.1 The Wilcoxon Signed-Rank Test
  15.2 The Wilcoxon Rank-Sum Test
  15.3 Distribution-Free Confidence Intervals
  15.4 Distribution-Free ANOVA
  Supplementary Exercises
  Bibliography
 16 Quality Control Methods
  Introduction
  16.1 General Comments on Control Charts
  16.2 Control Charts for Process Location
  16.3 Control Charts for Process Variation
  16.4 Control Charts for Attributes
  16.5 CUSUM Procedures
  16.6 Acceptance Sampling
  Supplementary Exercises
  Bibliography
 Appendix Tables
  Table A.1 Cumulative Binomial Probabilities
  Table A.2 Cumulative Poisson Probabilities
  Table A.3 Standard Normal Curve Areas
  Table A.4 The Incomplete Gamma Function
  Table A.5 Critical values for t Distributions
  Table A.6 Tolerance Critical Values for Normal Population Distributions
  Table A.7 Critical Values for Chi-Squared Distributions
  Table A.8 t Curve Tail Areas
  Table A.9 Critical Values for F Distributions
  Table A.10 Critical Values for Studentized Range Distributions
  Table A.11 Chi-Squared Curve Tail Areas
  Table A.12 Critical Values for the Ryan–Joiner Test of Normality
  Table A.13 Critical Values for the Wilcoxon Signed-Rank Test
  Table A.14 Critical Values for the Wilcoxon Rank-Sum Test
  Table A.15 Critical Values for the Wilcoxon Signed-Rank Interval
  Table A.16 Critical Values for the Wilcoxon Rank-Sum Interval
  Table A.17 β Curves for t Tests
 Answers to Odd-Numbered Exercises
 Index