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Stat-Spotting : A Field Guide to Identifying Dubious Data

Author: Joel Best
Publisher: Los Angeles, CA : University of California Press, [2008] ©2008
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Are four million women really battered to death by their husbands or boyfriends each year? Does a young person commit suicide every thirteen minutes in the United States? Is methamphetamine our number one drug problem today? Alarming statistics bombard our daily lives, appearing in the news, on the Web, seemingly everywhere. But all too often, even the most respected publications present numbers that are  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Best, Joel.
Stat-spotting.
Berkeley : University of California Press, ©2008
(DLC) 2008017175
(OCoLC)225846896
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Joel Best
ISBN: 9780520941977 0520941977
OCLC Number: 773565047
Language Note: Text in English.
Reproduction Notes: Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2011. MiAaHDL
Description: 1 online resource (144 pages) : illustrations
Details: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Contents: pt. 1. Getting started --
A. Spotting questionable numbers --
B. Background --
B.1. Statistical benchmarks --
B.2. Severity and frequency --
pt. 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. Debates : what if they disagree? --
H.1. Causality debates --
H.2. Equality debates --
H.3. Policy debates --
pt. 3. Stat-spotting on your own --
I. Summary : Common signs of dubious data --
J. Better data : some characteristics --
K. Afterword : If you had no idea things were that bad, they probably aren't --
L. Suggestions for those who want to continue stat-spotting --
Acknowledgments --
Notes --
Index. J. better data: some characteristicsk. afterword: if you had no idea things were that bad, they probably aren't; l. suggestions for those who want to continue stat-spotting; acknowledgments; notes; index; a; b; c; d; e; f; g; h; i; l; m; n; o; p; r; s; t; u; v; w.
Responsibility: Joel Best.
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Alarming statistics bombard our daily lives, appearing in the news, on the Web, seemingly everywhere. This work features pertinent examples from the news, including the number of deaths reported in  Read more...

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"An ideal guide for anyone who reads a newspaper, watches television, or surfs the Web. In short, everyone."--Numeracy "Offers an eye-opening field guide to identifying problematic data and concludes Read more...

 
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