Statistics: Informed Decisions Using Data, 7th edition

Applications Index

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 1 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 2 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 and Outliers
  • 3.5 The Five-Number Summary and Boxplots
  • Chapter 3 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
  • 4.5 Nonlinear Regression: Transformations (online)
  • Chapter 4 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 Simulating Probability Experiments
  • 5.7 Putting It Together: Which Method Do I Use?
  • 5.8 Bayes's Rule (online)
  • Chapter 5 Review
  • Chapter Test
  • Making an Informed Decision: 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
  • 6.4 The Hypergeometric Probability Distribution (online)
  • 6.5 Combining Random Variables (online)
  • Chapter 6 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 7 Review
  • Chapter Test
  • Making an Informed Decision: Stock Picking
  • Case Study: A Tale of Blood Chemistry

IV. INFERENCE: FROM SAMPLES TO POPULATION

• 8. Sampling Distributions
  • 8.1 Distribution of the Sample Mean
  • 8.2 Distribution of the Sample Proportion
  • Chapter 8 Review
  • Chapter Test
  • Making an Informed Decision: How Much Time Do You Spend in a Day…?
  • Case Study: Sampling Distribution of the Median
• 9. Estimating the Value of a Parameter
  • 9.1 Estimating a Population Proportion
  • 9.2 Estimating a Population Mean
  • 9.3 Estimating a Population Standard Deviation
  • 9.4 Putting It Together: Which Method Do I Use?
  • 9.5 Estimating with Bootstrapping
  • Chapter 9 Review
  • Chapter Test
  • Making an Informed Decision: How Much Should I Spend for this House?
  • Case Study: Fire-Safe Cigarettes
• 10. Hypothesis Tests Regarding a Parameter
  • 10.1 The Language of Hypothesis Testing
  • 10.2 Hypothesis Tests for a Population Proportion
  • 10.2A Using Simulation to Perform Hypothesis Tests on a Population Proportion (online)
  • 10.2B Hypothesis Tests for a Population Proportion Using the Normal Model (online)
  • 10.3 Hypothesis Tests for a Population Mean
  • 10.3A Using Simulation and the Bootstrap to Perform Hypothesis Tests on a Population Mean (online)
  • 10.3B Hypothesis Tests for a Population Mean Using Student's t -Distribution (online)
  • 10.4 Hypothesis Tests for a Population Standard Deviation
  • 10.5 Putting It Together: Which Method Do I Use?
  • 10.6 The Probability of a Type II Error and the Power of the Test
  • Chapter 10 Review
  • Chapter Test
  • Making an Informed Decision: Selecting a Mutual Fund
  • Case Study: How Old Is Stonehenge?
• 11. Inference on Two Population Parameters
  • 11.1 Inference about Two Population Proportions
  • 11.1A Using Randomization Techniques to Compare Two Proportions (online)
  • 11.1B Inference About Two Population Proportions Using the Normal Model (online)
  • 11.2 Inference about Two Means: Dependent Samples
  • 11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means (online)
  • 11.2B Inference About Two Population Means: Dependent Samples Using Student's t -Distribution (online)
  • 11.3 Inference about Two Means: Independent Samples
  • 11.3A Using Randomization Techniques to Compare Two Independent Means (online)
  • 11.3B Inference About Two Population Means: Independent Samples Using Student's t -Distribution (online)
  • 11.4 Inference about Two Population Standard Deviations
  • 11.5 Putting It Together: Which Method Do I Use?
  • Chapter 11 Review
  • Chapter Test
  • Making an Informed Decision: Which Car Should I Buy?
  • Case Study: Control in the Design of an 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 12 Review
  • Chapter Test
  • Making an Informed Decision: 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
  • 13.3 The Randomized Complete Block Design
  • 13.4 Two-Way Analysis of Variance
  • Chapter 13 Review
  • Chapter Test
  • Making an Informed Decision: Where Should I Invest?
  • Case Study: Hat Size and Intelligence
• 14. Inference on the Least-Squares Regression Model and Multiple Regression
  • 14.1 Testing the Significance of the Least-Squares Regression Model
  • 14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line (online)
  • 14.1B Testing the Significance of the Least-squares Regression Model Using Student's t -Distribution (online)
  • 14.2 Confidence and Prediction Intervals
  • 14.3 Introduction to Multiple Regression
  • 14.4 Interaction and Dummy Variables
  • 14.5 Polynomial Regression
  • 14.6 Building a Regression Model
  • Chapter 14 Review
  • Chapter Test
  • Making an Informed Decision: Buying a Home
  • Case Study: Housing Boom
• 15. Nonparametric Statistics
  • 15.1 An Overview of Nonparametric Statistics
  • 15.2 Runs Test for Randomness
  • 15.3 Inference about Measures of Central Tendency
  • 15.4 Inference about the Difference between Two Medians: Dependent Samples
  • 15.5 Inference about the Difference between Two Medians: Independent Samples
  • 15.6 Spearman's Rank-Correlation Test
  • 15.7 Kruskal - Wallis Test
  • Chapter 15 Review
  • Chapter Test
  • Making an Informed Decision: Where Should I Live?
  • Case Study: Evaluating Alabama's 1891 House Bill 504

Photo Credits

Appendix A: Tables

Appendix B: Lines (online)

Answers

Index