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関連する概念動画

Percentage Frequency Distribution00:57

Percentage Frequency Distribution

57.6K
A percentage frequency distribution, in general, is a display of data that indicates the percentage of observations for each data point or grouping of data points. It is a commonly used method for expressing the relative frequency of survey responses and other data. The percentage frequency distributions are often displayed as bar graphs, pie charts, or tables.
The process of making a percentage frequency distribution involves the following few steps: note the total number of observations;...
57.6K
Bias01:22

Bias

3.7K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
3.7K
Percentile01:18

Percentile

6.4K
A percentile indicates the relative standing of a data value when data are sorted into numerical order from smallest to largest. It represents the percentages of data values that are less than or equal to the pth percentile. For example, 15% of data values are less than or equal to the 15th percentile.
6.4K
Weighted Mean00:57

Weighted Mean

4.9K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
4.9K
Fineness Modulus01:19

Fineness Modulus

248
The fineness modulus (FM) of aggregate is a numerical index that measures the coarseness or fineness of the particles. It is calculated by adding the cumulative percentages of aggregate retained on each of a specified series of sieves and dividing the sum by 100.
Consider performing sieve analysis on sand through a set of ASTM sieves. The weight of aggregate retained in each sieve and pan placed at the bottom is recorded, as given in Column B of Table 1.
To determine the fineness modulus of...
248
Finding Critical Values for Chi-Square01:18

Finding Critical Values for Chi-Square

2.9K
Consider a curve representing sample data drawn randomly from a normally distributed population. One must construct confidence intervals to estimate or to test a claim regarding the population standard deviation. For example, a 95% confidence interval covers 95% of the area under the curve, and the remaining 5% is equally distributed on either side of the curve. To achieve such confidence intervals, one must determine the critical values. The critical values are simply the values separating the...
2.9K

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関連する実験動画

Updated: May 22, 2025

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS
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フラット15%は 公平ですか?

Jeongwon Choi1, Ted Lieu2, Christopher C Liu3

  • 1Global Business School for Health, University College London, London, UK.

Science (New York, N.Y.)
|March 13, 2025
PubMed
まとめ
この要約は機械生成です。

国立衛生研究所 (NIH) の新たな資金提供方針が批判的に検討されている. この政策は誤りであり,科学の進歩に不利であると見なされています.

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The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
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The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

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Measuring Delay Discounting in Humans Using an Adjusting Amount Task
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Measuring Delay Discounting in Humans Using an Adjusting Amount Task

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関連する実験動画

Last Updated: May 22, 2025

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The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
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科学分野:

  • 健康政策
  • 研究資金
  • バイオメディカル 研究

背景:

  • 国立衛生研究所 (NIH) は,生物医学研究資金の主要な源である.
  • 最近のNIHの資金提供方針の変更は 科学界の懸念を高めている.

研究 の 目的:

  • NIHの新たな資金提供政策の影響を 批判的に評価する
  • 政策が科学の進歩を阻害するか促進するかを評価する.

主な方法:

  • 政策分析
  • 資金配分データの見直し
  • 専門家の意見のまとめ

主要な成果:

  • 分析されたNIHの資金提供方針は重大な欠陥を示しています
  • この政策は研究目標に逆行する証拠がある.

結論:

  • 現在のNIHの資金提供方針は 緊急に改定する必要があります
  • 政策の見直しは,生物医学研究の完全性と生産性の維持に不可欠です.