ニュースの背後の統計学<br>Statistics Behind the Headlines (Asa-crc Series on Statistical Reasoning in Science and Society)

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ニュースの背後の統計学
Statistics Behind the Headlines (Asa-crc Series on Statistical Reasoning in Science and Society)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 204 p.
  • 言語 ENG
  • 商品コード 9780367902520
  • DDC分類 070.4495195

Full Description

How do you learn about what's going on in the world? Did a news headline grab your attention? Did a news story report on recent research? What do you need to know to be a critical consumer of the news you read? If you are looking to start developing your data self-defense and critical news consumption skills, this book is for you! It reflects a long-term collaboration between a statistician and a journalist to shed light on the statistics behind the stories and the stories behind the statistics. The only prerequisite for enjoying this book is an interest in developing the skills and insights for better understanding news stories that incorporate quantitative information.

Chapters in Statistics Behind the Headlines kick off with a news story headline and a summary of the story itself. The meat of each chapter consists of an exploration of the statistical and journalism concepts needed to understand the data analyzed and reported in the story. The chapters are organized around these sections:

What ideas will you encounter in this chapter?
What is claimed? Is it appropriate?
Who is claiming this?
Why is it claimed? What makes this a story worth telling?
Is this a good measure of impact?
How is the claim supported?
What evidence is reported?
What is the quality/strength of the evidence?
Does the claim seem reasonable?
How does this claim fit with what is already known?
How much does this matter?
Considering the coverage

Chapters close with connections to the Stats + Stories podcast.

Contents

1. A Field Guide to Reading the Statistics behind the Headlines 2. Predicting Global Population Growth and Framing how you Report It 3. Social Media and Mental Health 4. Speedy Sneakers: Technological Boosterism or Sound Science? 5. Investigating Series Binge-watching 6. Tracking the Spread of "False News" 7. Modeling What It Means to "Flatten the Curve" 8. One Governor, Two Outcomes, and Three COVID Tests 9. Research Reproducibility and Reporting Results 10. Now, what?

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