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    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Amitani, Yuichi 2015. The natural frequency hypothesis and evolutionary arguments. Mind & Society, Vol. 14, Issue. 1, p. 1.


    Johnson, Eric D. and Tubau, Elisabet 2015. Comprehension and computation in Bayesian problem solving. Frontiers in Psychology, Vol. 6,


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A statistical taxonomy and another “chance” for natural frequencies

  • Adrien Barton (a1) (a2), Shabnam Mousavi (a1) (a3) and Jeffrey R. Stevens (a1)
  • DOI: http://dx.doi.org/10.1017/S0140525X07001665
  • Published online: 29 October 2007
Abstract
Abstract

The conclusions of Barbey & Sloman (B&S) crucially depend on evidence for different representations of statistical information. Unfortunately, a muddled distinction made among these representations calls into question the authors' conclusions. We clarify some notions of statistical representations which are often confused in the literature. These clarifications, combined with new empirical evidence, do not support a dual-process model of judgment.

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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

G. L. Brase (2002b) Which statistical formats facilitate what decisions? The perception and influence of different statistical information formats. Journal of Behavioral Decision Making 15:381401.

L. Cosmides & J. Tooby (1996) Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty. Cognition 58:173.

G. Gigerenzer & U. Hoffrage (1995) How to improve Bayesian reasoning without instruction: Frequency formats. Psychological Review 102:684704.

G. Gigerenzer & T. P. Regier (1996) How do we tell an association from a rule? Psychological Bulletin 119:2326.

V. Girotto & M. Gonzalez (2001) Solving probabilistic and statistical problems: A matter of information structure and question form. Cognition 78:247–76.

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Behavioral and Brain Sciences
  • ISSN: 0140-525X
  • EISSN: 1469-1825
  • URL: /core/journals/behavioral-and-brain-sciences
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