Interactive Statistics: Informed Decisions Using Data, 2nd edition

I: GETTING THE INFORMATION YOU NEED

1. 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

2. 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
3. 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”?
4. 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

5. 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
6. 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
7. 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

8. 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
9. 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
10. 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?
11. 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
12. 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?
13. 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
14. 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