Misaggregation Explains Conservative Inference About Normally Distributed Populations

Abstract

Three major hypotheses have been proposed to account for conservative inference: misaggregation, misperception, and response bias. The research reported in this paper allowed the testing of these hypotheses. Subjects made probabilistic judgments about stimuli generated from normally distributed populations.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1975
Accession Number
ADA016829

Entities

People

  • Gloria E. Wheeler
  • Ward Edwards

Organizations

  • University of Southern California

Tags

DTIC Thesaurus Topics

  • Bayes Theorem
  • California
  • Data Science
  • Histograms
  • Human Factors Engineering
  • Hypotheses
  • Information Processing
  • Information Science
  • Instructions
  • Judgment
  • Normal Distribution
  • Probability
  • Psychology
  • Regression Analysis
  • Sampling
  • Social Sciences
  • Statistical Samples

Fields of Study

  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Distributed Systems and Data Platform Development
  • Mathematics or Statistics

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference