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Related Concept Videos

Confidence Coefficient01:24

Confidence Coefficient

The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under both the...
Interpretation of Confidence Intervals01:19

Interpretation of Confidence Intervals

A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
Uncertainty: Confidence Intervals00:54

Uncertainty: Confidence Intervals

The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor 't,' or...
First Impression01:09

First Impression

First impressions play a crucial role in social perception, shaping how individuals assess others in professional, academic, and interpersonal contexts. Psychological research highlights the significance of cognitive biases, such as the primacy and recency effects, which influence how people interpret and recall information.The Primacy Effect and Cognitive AnchoringThe primacy effect describes the tendency for initial information to impact judgment disproportionately. When individuals encounter...
Confidence Intervals01:21

Confidence Intervals

An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a sample proportion. However, unlike the point estimate which is a single value, the confidence interval contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A confidence...
Hindsight Biases01:12

Hindsight Biases

Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?

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Related Experiment Video

Updated: Jun 5, 2026

Assessment and Communication for People with Disorders of Consciousness
07:37

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

Confidence in judgment.

N Harvey

    Trends in Cognitive Sciences
    |January 13, 2011
    PubMed
    Summary
    This summary is machine-generated.

    People often overestimate their answer accuracy due to cognitive biases. Current research explores various explanations for this overconfidence phenomenon, but no single theory fully explains it.

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    Published on: September 12, 2014

    Area of Science:

    • Cognitive Psychology
    • Judgment and Decision-Making

    Background:

    • Overconfidence in judgments is a well-documented phenomenon.
    • Cognitive psychologists attribute overconfidence to biases in evidence processing.

    Purpose of the Study:

    • To review and discuss ongoing debates surrounding the overconfidence phenomenon.
    • To examine alternative explanations and their validity.

    Main Methods:

    • Literature review of existing psychological research and theories.
    • Analysis of debates concerning ecological psychology, regression effects, and perceptual judgments.

    Main Results:

    • Overconfidence persists even when experimental materials are ecologically representative.
    • Discrepancies exist in the definition and application of 'overconfidence' across different research groups.
    • Debate continues regarding whether perceptual judgments exhibit underconfidence or overconfidence.

    Conclusions:

    • Existing theories inadequately explain the multifaceted nature of confidence in judgment.
    • A unified theory is needed to account for the diverse factors influencing judgment confidence.