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Constructed from series of headlines and articles connected to scientific or government report. Exploration of statistical concepts in report: source of data, issues with quantifying and measuring variables/features, representation and analysis of statistical models, discussion of whether headline and article fairly captured original report.
List of 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?
About the author
A. John Bailer was University Distinguished Professor and Chair in the Department of Statistics at Miami University and an affiliate member of the Departments of Biology, Media, Journalism and Film and Sociology and Gerontology. His interests include promoting quantitative literacy and enhancing connections between statistics and journalism which resulted in the awardwinning Stats + Stories podcast that he started with journalism colleagues in 2013.
Rosemary Pennington is Associate Professor in the Department of Media, Journalism and Film at Miami University. Her research examines the ways that marginalized groups are represented in media as well as how members of such groups may use media to challenge those representations. Pennington was a public broadcasting journalist working in Athens, Ohio, and Birmingham, Alabama.
Summary
Constructed from series of headlines and articles connected to scientific or government report. Exploration of statistical concepts in report: source of data, issues with quantifying and measuring variables/features, representation and analysis of statistical models, discussion of whether headline and article fairly captured original report.
