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Improving statistical reasoning : theoretical models and practical implications Peter Sedlmeier

By: Material type: TextTextPublication details: New York : Psychology Press, 2014.Description: x, 238 p. : ill. ; 23 cmISBN:
  • 978-1138003286
Subject(s): DDC classification:
  • 519.5
Online resources: Summary: This book focuses on how statistical reasoning works and on training programs that can exploit people's natural cognitive capabilities to improve their statistical reasoning. Training programs that take into account findings from evolutionary psychology and instructional theory are shown to have substantially larger effects that are more stable over time than previous training regimens. The theoretical implications are traced in a neural network model of human performance on statistical reasoning problems. This book apppeals to judgment and decision making researchers and other cognitive scientists, as well as to teachers of statistics and probabilistic reasoning.
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Item type Current library Call number Status Date due Barcode
REGULAR University of Wollongong in Dubai Main Collection 519.5 SE IM (Browse shelf(Opens below)) Available T0016760

Includes bibliographical references and index.

This book focuses on how statistical reasoning works and on training programs that can exploit people's natural cognitive capabilities to improve their statistical reasoning. Training programs that take into account findings from evolutionary psychology and instructional theory are shown to have substantially larger effects that are more stable over time than previous training regimens. The theoretical implications are traced in a neural network model of human performance on statistical reasoning problems. This book apppeals to judgment and decision making researchers and other cognitive scientists, as well as to teachers of statistics and probabilistic reasoning.

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