Document Detail

Statistical inference and sensitivity to sampling in 11-month-old infants.
MedLine Citation:
PMID:  19435629     Owner:  NLM     Status:  MEDLINE    
Research on initial conceptual knowledge and research on early statistical learning mechanisms have been, for the most part, two separate enterprises. We report a study with 11-month-old infants investigating whether they are sensitive to sampling conditions and whether they can integrate intentional information in a statistical inference task. Previous studies found that infants were able to make inferences from samples to populations, and vice versa [Xu, F., & Garcia, V. (2008). Intuitive statistics by 8-month-old infants. Proceedings of the National Academy of Sciences of the United States of America, 105, 5012-5015]. We found that when employing this statistical inference mechanism, infants are sensitive to whether a sample was randomly drawn from a population or not, and they take into account intentional information (e.g., explicitly expressed preference, visual access) when computing the relationship between samples and populations. Our results suggest that domain-specific knowledge is integrated with statistical inference mechanisms early in development.
Fei Xu; Stephanie Denison
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-05-10
Journal Detail:
Title:  Cognition     Volume:  112     ISSN:  1873-7838     ISO Abbreviation:  Cognition     Publication Date:  2009 Jul 
Date Detail:
Created Date:  2009-06-08     Completed Date:  2009-08-19     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0367541     Medline TA:  Cognition     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  97-104     Citation Subset:  IM    
Department of Psychology, 2136 West Mall, University of British Columbia, Vancouver, BCV6K1Z4, Canada.
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MeSH Terms
Color Perception / physiology
Data Interpretation, Statistical*
Learning / physiology*
Photic Stimulation
Psychomotor Performance / physiology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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