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Autor(en): 
  • Rosemary Pennington
  • Bailer A. John
  • Statistics Behind the Headlines 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  September 2022  
    Genre:  Schulbücher 
     
    Census / Comparison Shoes / critical news interpretation / elite runners / evidence evaluation / Fake News / False Negative Error / False Negative Error Rate
    ISBN:  9780367902537 
    EAN-Code: 
    9780367902537 
    Verlag:  Taylor and Francis 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 216 mm / B 138 mm / D  
    Gewicht:  460 gr 
    Seiten:  204 
    Illustration:  schwarz-weiss Illustrationen, farbige Illustrationen, Raster,schwarz-weiss, Raster, farbig, Zeichnungen, schwarz-weiss, Zeichnungen, farbig, Tabellen, schwarz-weiss 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    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.

      



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