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Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

73.7K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
73.7K
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

107
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
107
Uncertainty: Confidence Intervals00:54

Uncertainty: Confidence Intervals

4.1K
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...
4.1K
Confidence Intervals01:21

Confidence Intervals

6.2K
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...
6.2K
Reliability and Validity01:29

Reliability and Validity

12.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Interpretation of Confidence Intervals01:19

Interpretation of Confidence Intervals

5.7K
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...
5.7K

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相关实验视频

Updated: Jul 1, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

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信任与增加和减少可靠性的信任.

Benjamin S P Rittenberg1, Christopher W Holland1, Grace E Barnhart1

  • 1Dalhousie University, Canada.

Human factors
|March 6, 2024
PubMed
概括
此摘要是机器生成的。

对自动化的信任并不总是与其可靠性相匹配. 在经历了不可靠的自动化系统后,用户很难重新获得信任,特别是当自信度很高时.

关键词:
自动化自动化自动化自动化决策是做出决策的过程.人类与自动化交互的自动化水平.对自动化的信任.

更多相关视频

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
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Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

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Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow
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Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow

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相关实验视频

Last Updated: Jul 1, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

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Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
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Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

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Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow
09:18

Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow

Published on: December 15, 2023

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科学领域:

  • 人与计算机的交互
  • 自动化和信任动力学
  • 认知心理学 认知心理学

背景情况:

  • 对自动化系统的过度信任和不足可能会对性能产生负面影响.
  • 了解关于改变自动化可靠性的信任的时间动态至关重要.

研究的目的:

  • 为了调查如何信任自动化随着其可靠性随着时间的推移而增加或减少而演变.
  • 检查特定任务的自信,信任和自动化可靠性水平之间的关系.

主要方法:

  • 通过使用主导颜色识别任务进行了两项实验,自动化提供建议.
  • 在300多个试验中,自动化可靠性被操纵,条件包括可靠性增加 (50%至100%,70%至100%) 和降低 (100%至50%).

主要成果:

  • 随着可靠性下降,信任度下降,并且在一个可靠性从50%增加的组中也下降了.
  • 用户自信度的增加加大了自动化可靠性对信任的影响.
  • 一组经历了70%至100%的可靠性增长,显示了增强的信任.

结论:

  • 用户对自动化的信任并不总是反映其实际可靠性.
  • 在接触到可靠性较低的系统后,重新建立信任是具有挑战性的.