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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