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• Title Page
• Copyright Page
• About the Author
• Contents
• Preface
• Supplements
• Technology Resources
• Data Sources
• Part I Introduction
• Chapter 1 The Nature of Statistics
• Case Study: Top Films of All Time
• 1.1 Statistics Basics
• 1.2 Simple Random Sampling
• 1.3 Other Sampling Designs*
• 1.4 Experimental Designs*
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Part II Descriptive Statistics
• Chapter 2 Organizing Data
• Case Study: World’s Richest People
• 2.1 Variables and Data
• 2.2 Organizing Qualitative Data
• 2.3 Organizing Quantitative Data
• 2.4 Distribution Shapes
• 2.5 Misleading Graphs*
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Chapter 3 Descriptive Measures
• Case Study: The Beatles’ Song Length
• 3.1 Measures of Center
• 3.2 Measures of Variation
• 3.3 Chebyshev’s Rule and the Empirical Rule*
• 3.4 The Five-Number Summary; Boxplots
• 3.5 Descriptive Measures for Populations; Use of Samples
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Part III Probability, Random Variables, and Sampling Distributions
• Chapter 4 Probability Concepts
• Case Study: Texas Hold’em
• 4.1 Probability Basics
• 4.2 Events
• 4.3 Some Rules of Probability
• 4.4 Contingency Tables; Joint and Marginal Probabilities∗
• 4.5 Conditional Probability*
• 4.6 The Multiplication Rule; Independence∗
• 4.7 Bayes’s Rule*
• 4.8 Counting Rules*
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Chapter 5 Discrete Random Variables*
• Case Study: Aces Wild on the Sixth at Oak Hill
• 5.1 Discrete Random Variables and Probability Distributions*
• 5.2 The Mean and Standard Deviation of a Discrete Random Variable*
• 5.3 The Binomial Distribution*
• 5.4 The Poisson Distribution*
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Chapter 6 The Normal Distribution
• Case Study: Chest Sizes of Scottish Militiamen
• 6.1 Introducing Normally Distributed Variables
• 6.2 Areas under the Standard Normal Curve
• 6.3 Working with Normally Distributed Variables
• 6.4 Assessing Normality; Normal Probability Plots
• 6.5 Normal Approximation to the Binomial Distribution*†
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Chapter 7 The Sampling Distribution of the Sample Mean
• Case Study: The Chesapeake and Ohio Freight Study
• 7.1 Sampling Error; the Need for Sampling Distributions
• 7.2 The Mean and Standard Deviation of the Sample Mean
• 7.3 The Sampling Distribution of the Sample Mean
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Part IV Inferential Statistics
• Chapter 8 Confidence Intervals for One Population Mean
• Case Study: Bank Robberies: A Statistical Analysis
• 8.1 Estimating a Population Mean
• 8.2 Confidence Intervals for One Population Mean When σ Is Known
• 8.3 Confidence Intervals for One Population Mean When σ Is Unknown
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Chapter 9 Hypothesis Tests for One Population Mean
• Case Study: Gender and Sense of Direction
• 9.1 The Nature of Hypothesis Testing
• 9.2 Critical-Value Approach to Hypothesis Testing†
• 9.3 P-Value Approach to Hypothesis Testing†
• 9.4 Hypothesis Tests for One Population Mean When σ Is Known
• 9.5 Hypothesis Tests for One Population Mean When σ Is Unknown
• 9.6 The Wilcoxon Signed-Rank Test*
• 9.7 Type II Error Probabilities; Power∗
• 9.8 Which Procedure Should Be Used?**
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Chapter 10 Inferences for Two Population Means
• Case Study: Dexamethasone Therapy and IQ
• 10.1 The Sampling Distribution of the Difference between Two Sample Means for Independent Samples
• 10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equ
• 10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed
• 10.4 The Mann-Whitney Test*
• 10.5 Inferences for Two Population Means, Using Paired Samples
• 10.6 The Paired Wilcoxon Signed-Rank Test*
• 10.7 Which Procedure Should Be Used?**
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Chapter 11 Inferences for Population Standard Deviations*
• Case Study: Speaker Woofer Driver Manufacturing
• 11.1 Inferences for One Population Standard Deviation*
• 11.2 Inferences for Two Population Standard Deviations, Using Independent Samples*
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Chapter 12 Inferences for Population Proportions
• Case Study: Arrested Youths
• 12.1 Confidence Intervals for One Population Proportion
• 12.2 Hypothesis Tests for One Population Proportion
• 12.3 Inferences for Two Population Proportions
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Chapter 13 Chi-Square Procedures
• Case Study: Eye and Hair Color
• 13.1 The Chi-Square Distribution
• 13.2 Chi-Square Goodness-of-Fit Test
• 13.3 Contingency Tables; Association
• 13.4 Chi-Square Independence Test
• 13.5 Chi-Square Homogeneity Test
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Part V Regression, Correlation, and ANOVA
• Chapter 14 Descriptive Methods in Regression and Correlation
• Case Study: Healthcare: Spending and Outcomes
• 14.1 Linear Equations with One Independent Variable
• 14.2 The Regression Equation
• 14.3 The Coefficient of Determination
• 14.4 Linear Correlation
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Chapter 15 Inferential Methods in Regression and Correlation
• Case Study: Shoe Size and Height
• 15.1 The Regression Model
• 15.2 Inferences for the Slope of the Population Regression Line
• 15.3 Estimation and Prediction
• 15.4 Inferences in Correlation
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Chapter 16 Analysis of Variance (ANOVA)
• Case Study: Self-Perception and Physical Activity
• 16.1 The F-Distribution
• 16.2 One-Way ANOVA: The Logic
• 16.3 One-Way ANOVA: The Procedure
• 16.4 Multiple Comparisons*†
• 16.5 The Kruskal-Wallis Test*
• Chapter in Review
• Review Problems
• Focusing on Data Analysis
• Case Study Discussion
• Biography
• Appendixes
• Appendix A Statistical Tables
• Appendix B Answers to Selected Exercises
• Index
• A
• B
• C
• D
• E
• F
• G
• H
• I
• J
• K
• L
• M
• N
• O
• P
• Q
• R
• S
• T
• U
• V
• W
• X
• Y
• Z
• Photo Credits