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📘 **Test Bank for Stats: Modeling the World (5th Edition, David E. Bock)

SEO-Optimized Overview & Organized Table of Contents**

The Test Bank for Stats: Modeling the World, 5th Edition by David E. Bock, Paul F. Velleman, and Richard D. De Veaux (ISBN-10: 0135168473, ISBN-13: 9780135168479) is a comprehensive resource for mastering modern statistical thinking. Designed for high school and college students, this test bank supports learning with practice questions, exam preparation, dataset analysis, probability concepts, and statistical inference. Below is a fully organized, SEO-friendly summary of the book’s contents, enriched with strategic keywords for higher search visibility.

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📊 [Blue] PART I: Exploring and Understanding Data

1. Stats Starts Here 🚀

Introduction to statistical reasoning and the importance of data in everyday decision-making.

2. Displaying and Describing Categorical Data 📋

Covers bar charts, pie charts, frequency tables, and categorical patterns.

3. Displaying and Summarizing Quantitative Data 📈

Focuses on histograms, boxplots, numerical summaries, and variability.

4. Understanding and Comparing Distributions ⚖️

Explores shape, center, spread, and comparative distribution analysis.

5. Standard Deviation as a Ruler & the Normal Model 🔔

Introduces z-scores, standard deviations, and normal distribution applications.

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🔗 [Green] PART II: Exploring Relationships Between Variables

6. Scatterplots, Association, and Correlation 🔍

Visualizing relationships and measuring linear strength.

7. Linear Regression 📉

Understanding best-fit lines, predictions, and residuals.

8. Regression Wisdom 🧠

Recognizing outliers, leverage points, and model limitations.

9. Re-expressing Data: Get It Straight! 🔄

Using transformations to improve linear relationships.

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🎯 [Purple] PART III: Gathering Data

10. Understanding Randomness 🎲

Introducing chance behavior and random processes.

11. Sample Surveys 🗳️

Sampling methods, biases, and survey design.

12. Experiments and Observational Studies 🧪

Random assignment, blocking, experimental design, and observational limits.

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🎲 [Red] PART IV: Randomness and Probability

13. From Randomness to Probability ♟️

Connecting real-world randomness to theoretical probability.

14. Probability Rules! 📏

Rules of probability, independence, and complements.

15. Random Variables 🔢

Discrete and continuous variables with expected values.

16. Probability Models 🧩

Modeling situations using probability distributions.

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🌍 [Yellow] PART V: From the Data at Hand to the World at Large

17. Sampling Distribution Models 🔄

Understanding sampling variability and distribution patterns.

18. Confidence Intervals for Proportions 📐

Building intervals and interpreting statistical confidence.

19. Testing Hypotheses About Proportions ❓

Step-by-step hypothesis testing for population proportions.

20. More About Tests and Intervals 📊

Refining statistical inference techniques.

21. Comparing Two Proportions ⚖️

Examining two-sample comparisons and real-world applications.

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📘 [Orange] PART VI: Learning About the World

22. Inferences About Means 🔢

t-distributions, mean estimation, and margin of error.

23. Comparing Means ⚖️

Two-sample t-tests and independent group analysis.

24. Paired Samples and Blocks 🔗

Matched pairs and controlled experimental designs.

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📚 [Teal] PART VII: Inference When Variables Are Related

25. Comparing Counts 🧮

Chi-square tests for independence and goodness-of-fit.

26. Inferences for Regression 📏

Regression inference, slope tests, and confidence intervals.

27–28. Online Chapters: ANOVA & Multiple Regression 🌐

Extended learning modules for advanced statistical modeling.

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