Stats: Modeling the World, 5th edition

  • David E. Bock
  • Paul F. Velleman
  • Richard D. De Veaux
  • Floyd Bullard

Title overview

For courses in Introductory Statistics (algebra-based).

 

Clear, accessible, and teachable, Stats: Modeling the World leads with practical data analysis and graphics to engage students and get them to think in a statistical context. Through updated, relevant examples and data – and the authors’ signature Think, Show, and Tell problem-solving method – students learn how to approach a question, solve the problem, and communicate meaning.


In the 5th Edition, new co-author Floyd Bullard introduces a greater emphasis on simulations as a powerful pedagogical tool. Through early exploration of key statistical ideas, these simulations make it easier for instructors to teach and for students to understand more complicated concepts later in the course. Accompanying applets give students the opportunity to explore important ideas, providing greater conceptual depth that will prepare them to apply their statistical knowledge in this course and beyond.


Table of contents

  • I. EXPLORING AND UNDERSTANDING DATA
  • 1. Stats Starts Here 
  • 2. Displaying and Describing Categorical Data 
  • 3. Displaying and Summarizing Quantitative Data 
  • 4. Understanding and Comparing Distributions 
  • 5. The Standard Deviation as a Ruler and the Normal Model 
  • Review of Part I: Exploring and Understanding Data
  • II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES
  • 6. Scatterplots, Association, and Correlation 
  • 7. Linear Regression 
  • 8. Regression Wisdom 
  • 9. Re-expressing Data: Get It Straight! 
  • Review of Part II: Exploring Relationships Between Variables
  • III. GATHERING DATA
  • 10. Understanding Randomness 
  • 11. Sample Surveys 
  • 12. Experiments and Observational Studies 
  • Review of Part III: Gathering Data
  • IV. RANDOMNESS AND PROBABILITY
  • 13. From Randomness to Probability 
  • 14. Probability Rules! 
  • 15. Random Variables 
  • 16. Probability Models 
  • Review of Part IV: Randomness and Probability
  • V. FROM THE DATA AT HAND TO THE WORLD AT LARGE
  • 17. Sampling Distribution Models 
  • 18. Confidence Intervals for Proportions 
  • 19. Testing Hypotheses About Proportions 
  • 20. More About Tests and Intervals 
  • 21. Comparing Two Proportions 
  • Review of Part V: From the Data at Hand to the World at Large
  • VI. LEARNING ABOUT THE WORLD
  • 22. Inferences About Means 
  • 23. Comparing Means 
  • 24. Paired Samples and Blocks 
  • Review of Part VI: Learning About the World
  • VII. INFERENCE WHEN VARIABLES ARE RELATED
  • 25. Comparing Counts 
  • 26. Inferences for Regression 
  • Review of Part VII: Inference When Variables Are Related 
  • 27. Analysi

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Published by Pearson (February 6th 2018) - Copyright © 2019