Stats: Modeling the World, 5th edition
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Stats helps you strengthen your statistical-thinking skills by showing you how to analyze data and then having you work through real-world problems and exercises. This Think, Show, and Tell problem-solving method helps you learn what we can find in data, why we find it interesting, and how to report it to others.
Published by Pearson (January 1st 2021) - Copyright © 2019
Subject: Introductory Statistics
Category: Stats: Modeling the World
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. Analysis of Variance* (online)
- 28. Multiple Regression* (online)
A. Selected Formulas
B. Guide to Statistical Software
D. Photo and Text Acknowledgments
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