Stat-spotting: a field guide to identifying dubious data

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Publisher:
University of California Press,
Pub. Date:
c2008.
Language:
English
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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 miscalculated, misinterpreted, hyped, or simply misleading. Following on the heels of his highly acclaimedDamned Lies and Statistics and More Damned Lies and Statistics, Joel Best now offers this practical field guide to help everyone identify questionable statistics. Entertaining, informative, and concise,Stat-Spotting is essential reading for people who want to be more savvy and critical consumers of news and information.Stat-Spotting features:* Pertinent examples from today's news, including the number of deaths reported in Iraq, the threat of secondhand smoke, the increase in the number of overweight Americans, and many more* A commonsense approach that doesn't require advanced math or statistics
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ISBN:
9780520257467
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full_title stat spotting a field guide to identifying dubious data
author best joel
grouping_category book
lastUpdate 2017-07-04 09:33:54AM

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author Best, Joel.
author-letter Best, Joel.
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availability_toggle_arlington Available Now, Entire Collection
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callnumber-first H - Social Science
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oclc (OCoLC)225846896
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physical 132 p. : ill. ; 22 cm.
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primary_isbn 9780520257467
publishDate 2008
publishDateSort 2008
publisher University of California Press,
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subject_facet Social problems -- Statistical methods, Sociology -- Statistical methods
table_of_contents Acknowledgments --, Afterword : If you had no idea things were that bad, they probably aren't --, Averages --, Background --, Better data : some characteristics --, Big round numbers --, Blunders --, Botched translations --, Broad definitions --, Careless calculations --, Causality debates --, Changing definitions --, Convenient time frames --, Correlations --, Creating measures --, Definitions : what did they count? --, Discoveries --, Epidemics --, Equality debates --, Expanding definitions --, Getting started --, Hyperbole --, Impressive formats --, Index., Loaded questions --, Measurements : how did they count? --, Misleading graphs --, Misleading samples --, Naming the problem --, Notes --, Odd units of analysis --, Packaging : what are they telling us? --, Peculiar percentages --, Policy debates --, Raising the bar --, Selective comparisons --, Severity and frequency --, Shocking claims --, Sources : who counted - and why? --, Spotting questionable numbers --, Stat-spotting on your own --, Statistical benchmarks --, Statistical milestones --, Suggestions for those who want to continue stat-spotting --, Summary : Common signs of dubious data --, Technical measures --, Varieties of dubious data --, slippery decimal point --, uncounted --
target_audience Adult
target_audience_full Adult
title Stat-spotting : a field guide to identifying dubious data
title_display Stat-spotting : a field guide to identifying dubious data
title_full Stat-spotting : a field guide to identifying dubious data / Joel Best
title_short Stat-spotting :
title_sort stat-spotting a field guide to identifying dubious data
title_sub a field guide to identifying dubious data