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相关概念视频

Probability in Statistics01:14

Probability in Statistics

12.6K
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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Probability Histograms01:17

Probability Histograms

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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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Probability Distributions01:32

Probability Distributions

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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.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
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Probability Laws01:49

Probability Laws

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Overview
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Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

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A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
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Binomial Probability Distribution01:15

Binomial Probability Distribution

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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.
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...
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相关实验视频

Updated: Jun 23, 2025

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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对交互式或动画图形的证据不足以传达概率.

Jessica S Ancker1, Natalie C Benda2, Brian J Zikmund-Fisher3

  • 1Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37209, United States.

Journal of the American Medical Informatics Association : JAMIA
|June 21, 2024
PubMed
概括

对健康概率数据的交互式可视化和动画尚未显示出强有力的证据,证明它们比静态图形更能提高理解力. 需要进一步的研究来确定它们在健康传播中的有效性.

关键词:
动画可视化 动画可视化图形图形是指一个图形.健康行为健康行为互动可视化 互动可视化风险沟通风险沟通是什么

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科学领域:

  • 卫生沟通健康沟通
  • 数据可视化数据可视化
  • 风险沟通风险沟通是什么

背景情况:

  • 沟通健康概率 (例如疾病风险) 对于明智决策至关重要.
  • 传统的静态图形和数值数据是常见的,但在传达复杂的概率信息方面可能存在局限性.
  • 交互式和动画可视化有助于人们更好地了解健康风险.

研究的目的:

  • 分析比较互动/动画健康概率可视化与静态图形或数值数据的研究.
  • 评估不同类型的互动和动画可视化在健康传播中的有效性.

主要方法:

  • 关于传达健康号码的全面系统审查的二次分析.
  • 基于研究的四种类型的交互式或动画可视化研究的研究的分类.

主要成果:

  • 确定了四种类型的可视化:模拟概率事件,展示随机性,减少信息过载和促进详细思考.
  • 总的来说,这些可视化并没有提供强有力的证据,证明它们在改善理解,风险感知或健康行为方面优于静态图形.

结论:

  • 目前的证据并没有强烈支持与静态图形相比,交互式或动画健康可视化的增强有效性.
  • 未来的研究应该严格评估与静态对应的新型交互/动画可视化,以指导健康沟通实践.
  • 不同的人群,包括那些数字访问有限的人群,对静态视觉的可访问性值得考虑.