Stat-spotting: a field guide to identifying dubious data
(Book)

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Published:
Berkeley : University of California Press, [2008].
Format:
Book
Physical Desc:
132 pages ; 22 cm
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Hamden/Miller Adult Nonfiction 2nd Floor
301.072/BES
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Language:
English
ISBN:
9780520257467, 0520257464

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Bibliography
Includes bibliographical references and index.
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Citations
APA Citation (style guide)

Best, J. (2008). Stat-spotting: a field guide to identifying dubious data. Berkeley, University of California Press.

Chicago / Turabian - Author Date Citation (style guide)

Best, Joel. 2008. Stat-spotting: A Field Guide to Identifying Dubious Data. Berkeley, University of California Press.

Chicago / Turabian - Humanities Citation (style guide)

Best, Joel, Stat-spotting: A Field Guide to Identifying Dubious Data. Berkeley, University of California Press, 2008.

MLA Citation (style guide)

Best, Joel. Stat-spotting: A Field Guide to Identifying Dubious Data. Berkeley, University of California Press, 2008.

Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Grouped Work ID:
432b3c5d-d038-0132-4bdc-2d088787b427
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Record Information

Last Sierra Extract TimeApr 28, 2024 05:53:32 PM
Last File Modification TimeApr 28, 2024 05:54:05 PM
Last Grouped Work Modification TimeApr 28, 2024 05:53:38 PM

MARC Record

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5050 |a Getting started -- Spotting questionable numbers -- Background -- Statistical benchmarks -- Severity and frequency -- Varieties of dubious data -- Blunders -- The slippery decimal point -- Botched translations -- Misleading graphs -- Careless calculations -- Sources: who counted/and why? -- Big, round numbers -- Hyperbole -- Shocking claims -- Naming the problem -- Definitions: what did they count? -- Broad definitions -- Expanding definitions -- Changing definitions -- The uncounted measurements: how did they count? -- Creating measures -- Odd units of analysis -- Loaded questions -- Raising the bar -- Technical measures -- Packaging: what are they telling us? -- Impressive formats -- Misleading samples -- Convenient time frames -- Peculiar percentages -- Selective comparisons -- Statistical milestones -- Averages -- Epidemics -- Correlations -- Discoveries -- Debates: what if they disagree? -- Causality debates -- Equality debates -- Policy debates -- Stat-spotting on your own -- Summary: common signs of dubious data -- Better data: some characteristics -- Afterword: if you had no idea things were that bad, they probably aren't -- Suggestions for those who want to continue stat-spotting -- Acknowledgments -- Notes.
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