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Cause and Effect01:53

Cause and Effect

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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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The Scientific Method02:40

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Research is what makes the difference between facts and opinions. Facts are observable realities, and opinions are personal judgments, conclusions, or attitudes that may or may not be accurate. In the scientific community, facts can be established only using evidence collected through empirical research.
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Overview
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
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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.
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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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概率主义的经验主义.

Quentin Ruyant1, Mauricio Suárez2

  • 1Lancog Group, Centre of Philosophy, University of Lisbon, Lisbon, Portugal.

European journal for philosophy of science
|April 15, 2025
PubMed
概括
此摘要是机器生成的。

这项研究将模态经验主义扩展到概率知识,提供一种归纳主义的认识论. 极端概率有助于测试较温和的概率,进步从经验中理解概率推理.

关键词:
经验主义的经验主义.模式的认识论 (Modal epistemology) 是一种认识论.可能性 概率 概率.情况语义学 情境语义学

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科学领域:

  • 科学哲学的哲学科学哲学
  • 认识论的认识论学.

背景情况:

  • 模态经验主义提供了模态知识的体验基础,使用可能的情况.
  • 当前的模态经验主义缺乏概率知识的框架.
  • 对必要性的诱导方法假定实际情况的代表性.

研究的目的:

  • 扩展模态经验主义以适应概率学知识.
  • 为概率知识开发一种归纳主义的认识论.
  • 解决现有理论在解释概率推理方面的局限性.

主要方法:

  • 用粗的,有限的,相对的可能情况取代可能的世界.
  • 使用极端概率 (接近0和1) 作为代理.
  • 应用模型组合原理来测试概率.

主要成果:

  • 为概率知识提出了一种新的归纳主义认识论.
  • 扩展框架解释了从经验中得到的概率推理.
  • 极端的概率被证明是有效的测试温和的概率.

结论:

  • 模式经验主义可以成功地扩展到概率知识.
  • 这为理解概率学认识论提供了一个强大的归纳主义框架.
  • 提出的方法为概率的经验知识提供了一种新的方法.