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A statistical taxonomy and another “chance” for natural frequencies

Published online by Cambridge University Press:  29 October 2007

Adrien Barton
Affiliation:
Center for Adaptive Behavior and Cognition, Max PlanckInstitute for Human Development, 14195 Berlin, Germany; [email protected]://www.mpib-berlin.mpg.de/en/forschung/abc/index.htm Institut d'Histoire et de Philosophie des Sciences et des Techniques, Paris I, and CNRS/ENS – UMR 8590, 75006 Paris, [email protected]@psu.eduhttp://www.stat.psu.edu/people/faculty/smousavi.html/
Shabnam Mousavi
Affiliation:
Center for Adaptive Behavior and Cognition, Max PlanckInstitute for Human Development, 14195 Berlin, Germany; [email protected]://www.mpib-berlin.mpg.de/en/forschung/abc/index.htm Department of Statistics, The Pennsylvania State University, University Park, PA 16802. [email protected]://www.abc.mpib-berlin.mpg.de/users/jstevens/
Jeffrey R. Stevens
Affiliation:
Center for Adaptive Behavior and Cognition, Max PlanckInstitute for Human Development, 14195 Berlin, Germany; [email protected]://www.mpib-berlin.mpg.de/en/forschung/abc/index.htm

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.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2007

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References

Brase, G. L. (2002b) Which statistical formats facilitate what decisions? The perception and influence of different statistical information formats. Journal of Behavioral Decision Making 15:381401.CrossRefGoogle Scholar
Brase, G. L. (2007) The (in)flexibility of evolved frequency representations for statistical reasoning: Cognitive styles and brief prompts do not influence Bayesian inference. Acta Psychologica Sinica 39(3):398405.Google Scholar
Cosmides, L. & Tooby, J. (1996) Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty. Cognition 58:173.CrossRefGoogle Scholar
Gigerenzer, G. & Hoffrage, U. (1995) How to improve Bayesian reasoning without instruction: Frequency formats. Psychological Review 102:684704.CrossRefGoogle Scholar
Gigerenzer, G. & Regier, T. P. (1996) How do we tell an association from a rule? Psychological Bulletin 119:2326.CrossRefGoogle Scholar
Girotto, V. & Gonzalez, M. (2001) Solving probabilistic and statistical problems: A matter of information structure and question form. Cognition 78:247–76.CrossRefGoogle ScholarPubMed