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Related Concept Videos

Probability in Statistics01:14

Probability in Statistics

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Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
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 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
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Perception01:28

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Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
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A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
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A binomial distribution is a probability distribution for a procedure with a fixed number of trials, where each trial can have only two outcomes.
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Related Experiment Video

Updated: May 3, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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The perception of probability.

C R Gallistel1, Monika Krishan2, Ye Liu1

  • 1Rutgers Center for Cognitive Science, Rutgers University.

Psychological Review
|February 5, 2014
PubMed
Summary

This study introduces a computational model explaining how people estimate changing probabilities. The model reveals intermittent belief updating and retrospective revision in perception, offering insights into decision-making processes.

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Area of Science:

  • Cognitive Science
  • Computational Neuroscience
  • Decision Science

Background:

  • Human subjects estimate hidden probability parameters in nonstationary Bernoulli processes.
  • Existing models struggle to explain the observed patterns of estimation and belief updating.

Purpose of the Study:

  • To present a computational model explaining human estimation of hidden probabilities in stepwise nonstationary Bernoulli processes.
  • To qualitatively and quantitatively capture key experimental results with minimal parameters.

Main Methods:

  • Developed a computational model based on compact encoding of experienced sequences via change points.
  • The model incorporates intermittent Bayesian belief updating and retrospective revision.

Main Results:

  • Model explains non-instantaneous updates, irregular step intervals, and perception thresholds.
  • Accurately maps observed to perceived probability and maintains good precision.
  • Captures rapid detection of probability changes and occasional revisions of perception.

Conclusions:

  • The model provides a parsimonious explanation for human probability estimation in dynamic environments.
  • Highlights the role of intermittent updating and retrospective revision in perception.
  • Suggests a reinterpretation of neurobiological findings in decision-making research.