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The cult of statistical significance : how the standard error costs us jobs, justice, and lives / by Stephen T. Ziliak and Deirdre N. McCloskey.

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Available copies

  • 1 of 1 copy available at Evergreen Indiana.

Current holds

0 current holds with 1 total copy.

Series Information

Economics, cognition, and society.
Location Call Number / Copy Notes Barcode Shelving Location Status Due Date
Indiana State Library - Indianapolis ISLM HB137 .Z55 2008 (Text) 0000103546826 General book Available -

Record details

  • ISBN: 9780472070077 (cloth : alk. paper)
  • ISBN: 047207007X (cloth : alk. paper)
  • ISBN: 9780472050079 (pbk. : alk. paper)
  • ISBN: 0472050079 (pbk. : alk. paper)
  • Physical Description: xxiii, 321 pages : illustrations ; 24 cm.
  • Publisher: Ann Arbor : University of Michigan Press, [2008]

Content descriptions

Bibliography, etc. Note:
Includes bibliographical references (pages 265-287) and index.
Formatted Contents Note:
A significant problem -- Dieting "significance" and the case of Vioxx -- The sizeless stare of statistical significance -- What the sizeless scientists say in defense -- Better practice: [beta]-importance vs. [alpha]-"significance" -- A lot can go wrong in the use of significance tests in economics -- A lot did go wrong in the American Economic Review during the 1980s -- Is economic practice improving? -- How big is big in economics? -- What the sizeless stare costs, economically speaking -- How economics stays that way: the textbooks and the referees -- The not-boring rise of significance in psychology -- Psychometrics lacks power -- The psychology of psychological significance testing -- Medicine seeks a magic pill -- Rothman's revolt -- On drugs, disability, and death -- Edgeworth's significance -- "Take 3[sigma] as definitely significant": Pearson's rule -- Who sits on the egg of culculus canorus? Not Karl Pearson -- Gosset: the fable of the bee -- Fisher: the fable of the wasp -- How the wasp stung the bee and took over some sciences -- Eighty years of trained incapacity: how such a thing could happen -- What to do.
Subject: Economics > Statistical methods.
Statistics > Social aspects.
Statistical hypothesis testing > Social aspects.

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