I: GETTING THE INFORMATION YOU NEED

• Data Collection
  • 1.1 Introduction to the Practice of Statistics
  • 1.2 Observational Studies versus Designed Experiments
  • 1.3 Simple Random Sampling
  • 1.4 Other Effective Sampling Methods
  • 1.5 Bias in Sampling
  • 1.6 The Design of Experiments
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: What College Should I Attend?
  • Case Study: Chrysalises for Cash

• II: DESCRIPTIVE STATISTICS

• Organizing and Summarizing Data
  • 2.1 Organizing Qualitative Data
  • 2.2 Organizing Quantitative Data: The Popular Displays
  • 2.3 Additional Displays of Quantitative Data
  • 2.4 Graphical Misrepresentations of Data
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: Tables or Graphs?
  • Case Study: The Day the Sky Roared
• Numerically Summarizing Data
  • 3.1 Measures of Central Tendency
  • 3.2 Measures of Dispersion
  • 3.3 Measures of Central Tendency and Dispersion from Grouped Data
  • 3.4 Measures of Position
  • 3.5 The Five-Number Summary and Boxplots
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: What Car Should I Buy?
  • Case Study: Who Was "A Mourner"?
• Describing the Relation Between Two Variables
  • 4.1 Scatter Diagrams and Correlation
  • 4.2 Least-Squares Regression
  • 4.3 Diagnostics on the Least-Squares Regression Line
  • 4.4 Contingency Tables and Association
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: Relationships Among Variables on a World Scale
  • Case Study: Thomas Malthus, Population, and Subsistence

• III: PROBABILITY AND PROBABILITY DISTRIBUTIONS

• Probability
  • 5.1 Probability Rules
  • 5.2 The Addition Rule and Complements
  • 5.3 Independence and the Multiplication Rule
  • 5.4 Conditional Probability and the General Multiplication Rule
  • 5.5 Counting Techniques
  • 5.6 Simulation
  • 5.7 Putting It Together: Which Method Do I Use?
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: What Are the Effects of Drinking and Driving?
  • Case Study: The Case of the Body in the Bag
• Discrete Probability Distributions
  • 6.1 Discrete Random Variables
  • 6.2 The Binomial Probability Distribution
  • 6.3 The Poisson Probability Distribution
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: Should We Convict?
  • Case Study: The Voyage of the St. Andrew
• The Normal Probability Distribution
  • 7.1 Properties of the Normal Distribution
  • 7.2 Applications of the Normal Distribution
  • 7.3 Assessing Normality
  • 7.4 The Normal Approximation to the Binomial Probability Distribution
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: What Stock Do I Pick?
  • Case Study: A Tale of Blood, Chemistry, and Health

• IV: INFERENCE - FROM SAMPLES TO POPULATION

• Sampling Distributions
  • 8.1 Distribution of the Sample Mean
  • 8.2 Distribution of the Sample Proportion
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: How Would You Break Down Your Day?
  • Case Study: Sampling Distribution of the Median
• Estimating the Value of a Parameter Using Confidence Intervals
  • 9.1 Estimating a Population Proportion
  • 9.2 Estimating a Population Mean
  • 9.3 Putting It Together: Which Procedure Do I Use?
  • 9.4 Estimating with Bootstrapping
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: How Much Should I Spend for this House?
  • Case Study: When Model Requirements Fail
• Hypothesis Tests Regarding a Parameter
  • 10.1 The Language of Hypothesis Testing
  • 10.2A Hypothesis Tests on a Population Proportion with Simulation
  • 10.2B Hypothesis Tests on a Population Proportion Using the Normal Model
  • 10.3A Using Simulation/Bootstrapping in Hypothesis Tests for a Population Mean
  • 10.3B Hypothesis Tests for a Population Mean
  • 10.4 Putting It Together: Which Procedure Do I Use?
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: Selecting a Mutual Fund
  • Case Study: How Old Is Stonehenge?
• Inference on Two Samples
  • 11.1A Using Randomization Techniques to Compare Two Proportions
  • 11.1 Inference about Two Population Proportions: Independent Samples
  • 11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means
  • 11.2 Inference about Two Population Means: Dependent Samples
  • 11.3A Using Randomization Techniques to Compare Two Independent Means
  • 11.3 Inference about Two Population Means: Independent Samples
  • 11.4 Putting It Together: Which Procedure Do I Use?
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: Which Car Should I Buy?
  • Case Study: Control in the Design of Experiment
• Inference on Categorical Data
  • 12.1 Goodness-of-Fit Test
  • 12.2 Tests for Independence and the Homogeneity of Proportions
  • 12.3 Inference about Two Population Proportions: Dependent Samples
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: What Are the Benefits of College?
  • Case Study: Feeling Lucky? Well, Are You?
• Comparing Three or More Means
  • 13.1 Comparing Three or More Means: One-Way Analysis of Variance
  • 13.2 Post-Hoc Tests on One-Way Analysis of Variance
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: Where Should I Invest?
  • Case Study: Hat Size and Intelligence
• Inference of the Least-Squares Regression Model
  • 14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line
  • 14.1 Testing the Significance of the Least-Squares Regression Model
  • 14.2 Confidence and Prediction Intervals
  • Chapter Review
  • Chapter Test
  • Making an Informed Decision: Buying a Home
  • Case Study: Housing Boom

• APPENDICES

  • A. Tables
  • B. Lines
  • C. Additional Topics
    • C.1 The Normal Approximation to the Binomial Probability Distribution
    • C.2 Estimating a Population Standard Deviation
    • C.3 Hypothesis Tests for a Population Standard Deviation