Making sense of data in the media:
Gespeichert in:
Hauptverfasser: | , , , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Los Angeles
SAGE
2020
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Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis Klappentext Inhaltsverzeichnis Klappentext |
Beschreibung: | vii, 261 Seiten Illustrationen, Diagramme, Karten |
ISBN: | 9781526447203 9781526447197 |
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Datensatz im Suchindex
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adam_text | Contents Acknowledgements vii 1 Introduction 1 2 How to make numbers sound big, or small, even when they aren’t: ‘Is that a lot?’ 7 3 Recognising which numbers you should trust: ‘Where is data from?’ 31 4 Making surveys representative: ‘Who you gonna call?’ 49 5 Graphics in the media and how to read them: ‘What does this mean?’ 69 6 Maps in the media: ‘Where is this happening?’ 107 7 Mapping patterns and people:‘Why does geography matter?’ 143 8 Understanding uncertainty in estimation: ‘Are you sure?’ 169 9 Ranking with league tables:‘What’s the best?’ 193 10 When a relationship (doesn’t) mean causality: ‘How did that happen?’ 211 11 Surprising quirks in the media:‘Isthat possible?’ 233 12 Conclusion 251 Index 255
There are two ways to learn about statistics. You could endure pages of maths and formulae, or you could learn from informative case studies exploring how, when and why data is used well or badly in today’s society. I prefer the second option. Happily, the authors do too.’ ^ . - Richard Harris, University of Bristol THIS IS NOT YOUR TYPICAL STATISTICS TEXTBOOK. The amount of data produced by and presented in the media has never been greater. But can we trust what we are being shown? In an age of fake news, how can you understand what data is rea!, misleading, or simply plain wrong? This book shows you how to critically evaluate the data you see in the media. It weaves everyday real-life examples with statistical concepts in a way that makes statistics come alive. No complex equations, no overly technical language. This isn’t just learning the techniques needed to pass a stats course. This is a book for anyone who reads (or writes) the news, watches adverts, or goes on the Internet. It will give you tools and knowledge you can apply every day to make sense of the use, and misuse, of data in the media. Andrew Bell is a Lecturer in Quantitative Social Sciences. Todd Hartman is a Senior Lecturer in Quantitative Social Sciences. Aneta Piekut is a Lecturer in Quantitative Social Sciences. Alasdair Rae is a Professorial Fellow in Urban Studies and Planning. Mark Taylor is a Senior Lecturer in Quantitative Social Sciences. All at the University of Sheffield.
Contents Acknowledgements vii 1 Introduction 1 2 How to make numbers sound big, or small, even when they aren’t: ‘Is that a lot?’ 7 3 Recognising which numbers you should trust: ‘Where is data from?’ 31 4 Making surveys representative: ‘Who you gonna call?’ 49 5 Graphics in the media and how to read them: ‘What does this mean?’ 69 6 Maps in the media: ‘Where is this happening?’ 107 7 Mapping patterns and people:‘Why does geography matter?’ 143 8 Understanding uncertainty in estimation: ‘Are you sure?’ 169 9 Ranking with league tables:‘What’s the best?’ 193 10 When a relationship (doesn’t) mean causality: ‘How did that happen?’ 211 11 Surprising quirks in the media:‘Isthat possible?’ 233 12 Conclusion 251 Index 255
There are two ways to learn about statistics. You could endure pages of maths and formulae, or you could learn from informative case studies exploring how, when and why data is used well or badly in today’s society. I prefer the second option. Happily, the authors do too.’ ^ . - Richard Harris, University of Bristol THIS IS NOT YOUR TYPICAL STATISTICS TEXTBOOK. The amount of data produced by and presented in the media has never been greater. But can we trust what we are being shown? In an age of fake news, how can you understand what data is rea!, misleading, or simply plain wrong? This book shows you how to critically evaluate the data you see in the media. It weaves everyday real-life examples with statistical concepts in a way that makes statistics come alive. No complex equations, no overly technical language. This isn’t just learning the techniques needed to pass a stats course. This is a book for anyone who reads (or writes) the news, watches adverts, or goes on the Internet. It will give you tools and knowledge you can apply every day to make sense of the use, and misuse, of data in the media. Andrew Bell is a Lecturer in Quantitative Social Sciences. Todd Hartman is a Senior Lecturer in Quantitative Social Sciences. Aneta Piekut is a Lecturer in Quantitative Social Sciences. Alasdair Rae is a Professorial Fellow in Urban Studies and Planning. Mark Taylor is a Senior Lecturer in Quantitative Social Sciences. All at the University of Sheffield.
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adam_txt |
Contents Acknowledgements vii 1 Introduction 1 2 How to make numbers sound big, or small, even when they aren’t: ‘Is that a lot?’ 7 3 Recognising which numbers you should trust: ‘Where is data from?’ 31 4 Making surveys representative: ‘Who you gonna call?’ 49 5 Graphics in the media and how to read them: ‘What does this mean?’ 69 6 Maps in the media: ‘Where is this happening?’ 107 7 Mapping patterns and people:‘Why does geography matter?’ 143 8 Understanding uncertainty in estimation: ‘Are you sure?’ 169 9 Ranking with league tables:‘What’s the best?’ 193 10 When a relationship (doesn’t) mean causality: ‘How did that happen?’ 211 11 Surprising quirks in the media:‘Isthat possible?’ 233 12 Conclusion 251 Index 255
There are two ways to learn about statistics. You could endure pages of maths and formulae, or you could learn from informative case studies exploring how, when and why data is used well or badly in today’s society. I prefer the second option. Happily, the authors do too.’ ' ^ . - Richard Harris, University of Bristol THIS IS NOT YOUR TYPICAL STATISTICS TEXTBOOK. The amount of data produced by and presented in the media has never been greater. But can we trust what we are being shown? In an age of fake news, how can you understand what data is rea!, misleading, or simply plain wrong? This book shows you how to critically evaluate the data you see in the media. It weaves everyday real-life examples with statistical concepts in a way that makes statistics come alive. No complex equations, no overly technical language. This isn’t just learning the techniques needed to pass a stats course. This is a book for anyone who reads (or writes) the news, watches adverts, or goes on the Internet. It will give you tools and knowledge you can apply every day to make sense of the use, and misuse, of data in the media. Andrew Bell is a Lecturer in Quantitative Social Sciences. Todd Hartman is a Senior Lecturer in Quantitative Social Sciences. Aneta Piekut is a Lecturer in Quantitative Social Sciences. Alasdair Rae is a Professorial Fellow in Urban Studies and Planning. Mark Taylor is a Senior Lecturer in Quantitative Social Sciences. All at the University of Sheffield.
Contents Acknowledgements vii 1 Introduction 1 2 How to make numbers sound big, or small, even when they aren’t: ‘Is that a lot?’ 7 3 Recognising which numbers you should trust: ‘Where is data from?’ 31 4 Making surveys representative: ‘Who you gonna call?’ 49 5 Graphics in the media and how to read them: ‘What does this mean?’ 69 6 Maps in the media: ‘Where is this happening?’ 107 7 Mapping patterns and people:‘Why does geography matter?’ 143 8 Understanding uncertainty in estimation: ‘Are you sure?’ 169 9 Ranking with league tables:‘What’s the best?’ 193 10 When a relationship (doesn’t) mean causality: ‘How did that happen?’ 211 11 Surprising quirks in the media:‘Isthat possible?’ 233 12 Conclusion 251 Index 255
There are two ways to learn about statistics. You could endure pages of maths and formulae, or you could learn from informative case studies exploring how, when and why data is used well or badly in today’s society. I prefer the second option. Happily, the authors do too.’ ' ^ . - Richard Harris, University of Bristol THIS IS NOT YOUR TYPICAL STATISTICS TEXTBOOK. The amount of data produced by and presented in the media has never been greater. But can we trust what we are being shown? In an age of fake news, how can you understand what data is rea!, misleading, or simply plain wrong? This book shows you how to critically evaluate the data you see in the media. It weaves everyday real-life examples with statistical concepts in a way that makes statistics come alive. No complex equations, no overly technical language. This isn’t just learning the techniques needed to pass a stats course. This is a book for anyone who reads (or writes) the news, watches adverts, or goes on the Internet. It will give you tools and knowledge you can apply every day to make sense of the use, and misuse, of data in the media. Andrew Bell is a Lecturer in Quantitative Social Sciences. Todd Hartman is a Senior Lecturer in Quantitative Social Sciences. Aneta Piekut is a Lecturer in Quantitative Social Sciences. Alasdair Rae is a Professorial Fellow in Urban Studies and Planning. Mark Taylor is a Senior Lecturer in Quantitative Social Sciences. All at the University of Sheffield. |
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spelling | Bell, Andrew Verfasser aut Making sense of data in the media Andrew Bell, Todd Hartman, Aneta Piekut, Alasdair Rae, Mark Taylor Los Angeles SAGE 2020 vii, 261 Seiten Illustrationen, Diagramme, Karten txt rdacontent n rdamedia nc rdacarrier Massenmedien (DE-588)4037877-9 gnd rswk-swf Visualisierung (DE-588)4188417-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Medienkompetenz (DE-588)4680767-6 gnd rswk-swf Falschmeldung (DE-588)4294308-5 gnd rswk-swf Massenmedien (DE-588)4037877-9 s Statistik (DE-588)4056995-0 s Visualisierung (DE-588)4188417-6 s Falschmeldung (DE-588)4294308-5 s Medienkompetenz (DE-588)4680767-6 s DE-604 Hartman,, Todd Verfasser aut Piekut, Aneta Verfasser aut Rae, Alisdair Verfasser aut Taylor, Mark 1966- Verfasser (DE-588)141582405 aut Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032323886&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032323886&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032323886&sequence=000005&line_number=0003&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032323886&sequence=000007&line_number=0004&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
spellingShingle | Bell, Andrew Hartman,, Todd Piekut, Aneta Rae, Alisdair Taylor, Mark 1966- Making sense of data in the media Massenmedien (DE-588)4037877-9 gnd Visualisierung (DE-588)4188417-6 gnd Statistik (DE-588)4056995-0 gnd Medienkompetenz (DE-588)4680767-6 gnd Falschmeldung (DE-588)4294308-5 gnd |
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title | Making sense of data in the media |
title_auth | Making sense of data in the media |
title_exact_search | Making sense of data in the media |
title_exact_search_txtP | Making sense of data in the media |
title_full | Making sense of data in the media Andrew Bell, Todd Hartman, Aneta Piekut, Alasdair Rae, Mark Taylor |
title_fullStr | Making sense of data in the media Andrew Bell, Todd Hartman, Aneta Piekut, Alasdair Rae, Mark Taylor |
title_full_unstemmed | Making sense of data in the media Andrew Bell, Todd Hartman, Aneta Piekut, Alasdair Rae, Mark Taylor |
title_short | Making sense of data in the media |
title_sort | making sense of data in the media |
topic | Massenmedien (DE-588)4037877-9 gnd Visualisierung (DE-588)4188417-6 gnd Statistik (DE-588)4056995-0 gnd Medienkompetenz (DE-588)4680767-6 gnd Falschmeldung (DE-588)4294308-5 gnd |
topic_facet | Massenmedien Visualisierung Statistik Medienkompetenz Falschmeldung |
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