Description

Book Synopsis
Does a young person commit suicide every thirteen minutes in the United States? Are four million women really battered to death by their husbands or boyfriends each year? Is methamphetamine our number one drug problem today? This title deals with these questions.

Trade Review
"An ideal guide for anyone who reads a newspaper, watches television, or surfs the Web. In short, everyone." -- Joe Swingle Numeracy "Offers an eye-opening field guide to identifying problematic data and concludes by calling for better statistics." Nacada Journal

Table of Contents
PREFACE TO THE 2013 EDITION PART 1. GETTING STARTED A. SPOTTING QUESTIONABLE NUMBERS B. BACKGROUND B.1 Statistical Benchmarks B.2 Severity and Frequency PART 2. VARIETIES OF DUBIOUS DATA C. BLUNDERS C.1 The Slippery Decimal Point C.2 Botched Translations C.3 Misleading Graphs C.4 Careless Calculations D. SOURCES: WHO COUNTED--AND WHY? D.1 Big Round Numbers D.2 Hyperbole D.3 Shocking Claims D.4 Naming the Problem E. DEFINITIONS: WHAT DID THEY COUNT? E.1 Broad Definitions E.2 Expanding Definitions E.3 Changing Definitions E.4 The Uncounted F. MEASUREMENTS: HOW DID THEY COUNT? F.1 Creating Measures F.2 Odd Units of Analysis F.3 Loaded Questions F.4 Raising the Bar F.5 Technical Measures G. PACKAGING: WHAT ARE THEY TELLING US? G.1 Impressive Formats G.2 Misleading Samples G.3 Convenient Time Frames G.4 Peculiar Percentages G.5 Selective Comparisons G.6 Statistical Milestones G.7 Averages G.8 Epidemics G.9 Correlations G.10 Discoveries H. RHETORIC: WHAT DO THEY WANT US TO THINK? H.1 Using Short-Term Turnover to Measure Long-Term Problems H.2 Sudden Turns for the Worse H.3 Designating Myths H.4 Rhetorical Flourishes I. DEBATES: WHAT IF THEY DISAGREE? I.1 Causality Debates I.2 Equality Debates I.3 Policy Debates PART 3. STAT-SPOTTING ON YOUR OWN J. SUMMARY: COMMON SIGNS OF DUBIOUS DATA K. BETTER DATA: SOME CHARACTERISTICS L. AFTERWORD: IF YOU HAD NO IDEA THINGS WERE THAT BAD, THEY PROBABLY AREN'T M. SUGGESTIONS FOR THOSE WHO WANT TO CONTINUE STAT-SPOTTING ACKNOWLEDGMENTS NOTES INDEX

StatSpotting A Field Guide to Identifying

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    A Paperback / softback by Joel Best

    10 in stock

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      Publisher: University of California Press
      Publication Date: Publication Date: 14/09/2013
      ISBN13: 9780520279988, 978-0520279988
      ISBN10: 0520279980

      Description

      Book Synopsis
      Does a young person commit suicide every thirteen minutes in the United States? Are four million women really battered to death by their husbands or boyfriends each year? Is methamphetamine our number one drug problem today? This title deals with these questions.

      Trade Review
      "An ideal guide for anyone who reads a newspaper, watches television, or surfs the Web. In short, everyone." -- Joe Swingle Numeracy "Offers an eye-opening field guide to identifying problematic data and concludes by calling for better statistics." Nacada Journal

      Table of Contents
      PREFACE TO THE 2013 EDITION PART 1. GETTING STARTED A. SPOTTING QUESTIONABLE NUMBERS B. BACKGROUND B.1 Statistical Benchmarks B.2 Severity and Frequency PART 2. VARIETIES OF DUBIOUS DATA C. BLUNDERS C.1 The Slippery Decimal Point C.2 Botched Translations C.3 Misleading Graphs C.4 Careless Calculations D. SOURCES: WHO COUNTED--AND WHY? D.1 Big Round Numbers D.2 Hyperbole D.3 Shocking Claims D.4 Naming the Problem E. DEFINITIONS: WHAT DID THEY COUNT? E.1 Broad Definitions E.2 Expanding Definitions E.3 Changing Definitions E.4 The Uncounted F. MEASUREMENTS: HOW DID THEY COUNT? F.1 Creating Measures F.2 Odd Units of Analysis F.3 Loaded Questions F.4 Raising the Bar F.5 Technical Measures G. PACKAGING: WHAT ARE THEY TELLING US? G.1 Impressive Formats G.2 Misleading Samples G.3 Convenient Time Frames G.4 Peculiar Percentages G.5 Selective Comparisons G.6 Statistical Milestones G.7 Averages G.8 Epidemics G.9 Correlations G.10 Discoveries H. RHETORIC: WHAT DO THEY WANT US TO THINK? H.1 Using Short-Term Turnover to Measure Long-Term Problems H.2 Sudden Turns for the Worse H.3 Designating Myths H.4 Rhetorical Flourishes I. DEBATES: WHAT IF THEY DISAGREE? I.1 Causality Debates I.2 Equality Debates I.3 Policy Debates PART 3. STAT-SPOTTING ON YOUR OWN J. SUMMARY: COMMON SIGNS OF DUBIOUS DATA K. BETTER DATA: SOME CHARACTERISTICS L. AFTERWORD: IF YOU HAD NO IDEA THINGS WERE THAT BAD, THEY PROBABLY AREN'T M. SUGGESTIONS FOR THOSE WHO WANT TO CONTINUE STAT-SPOTTING ACKNOWLEDGMENTS NOTES INDEX

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