A01=Peter Sedlmeier
Actual Relative Frequencies
adaptive
Adaptive Algorithms Approach
algorithms
approach
associationist models
Author_Peter Sedlmeier
Ba Ll
Balls
Base Rate Information
bayesian
Bayesian reasoning
Bayesian Solutions
Bayesian Tasks
Blue Balls
Category=JHBC
Category=JMBT
Category=JMR
Category=PBT
Cognitive Algorithms
cognitive training methods
Conditional Probability
Conjunction Rule
Conjunction Tasks
Conjunctive Probability
effect
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
evolutionary psychology applications
frequency
Frequency Grids
Frequency Representations
Frequency Tree Condition
Grid Training
inference
Long Term Training Effects
model
neural network modeling in statistical inference
null hypothesis testing
Pass
Probability Judgments
Relative Frequencies
sample size effects
Statistical Reasoning
training
urn
Urn Model
Ve Rl
Venn Version
Product details
- ISBN 9780805832822
- Weight: 620g
- Dimensions: 152 x 229mm
- Publication Date: 01 Jun 1999
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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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.
Peter Sedlmeier (Author)
