Statistics: Informed Decisions Using Data, Global Edition, 7th edition

Published by Pearson (February 11, 2025) © 2025

  • Michael Sullivan Joliet Junior College

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Title overview

Statistics: Informed Decisions Using Data helps you see the bigger picture and make informed choices for real-life situations such as buying a car, investing money, and choosing a place to live. It offers a practical emphasis that shows how statistics is connected not only to concepts, but to our world at large.

The 7th Edition adds a new set of Threaded Health and Nutrition Problems, drawing on National Health and Nutrition Examination Survey data obtained from the Centers for Disease Control and Prevention (CDC). This revision also adds a wealth of new and updated exercises, examples, and much more.

Table of contents

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

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