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関連する概念動画

Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

1.1K
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...
1.1K
Reliability and Validity01:29

Reliability and Validity

13.2K
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.
13.2K
Experimental Designs01:16

Experimental Designs

12.7K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
12.7K
Creative Thinking01:25

Creative Thinking

1.0K
Creative thinking encompasses innovative and unconventional methods for addressing challenges, often leading to groundbreaking solutions. Instead of focusing solely on enhancing existing systems, such as increasing smartphone battery capacity, creative thinking might inspire advancements like energy-efficient batteries or processors that minimize power consumption. This multidimensional approach underscores the importance of exploring novel pathways to innovation.
Divergent thinking is the...
1.0K
Controls in Experiments01:13

Controls in Experiments

10.4K
When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
10.4K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

78.9K
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. 
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関連する実験動画

Updated: Sep 9, 2025

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
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イノベーションプロセスの再現性

Maurice Whelan1, Eann Patterson2

  • 1European Commission Joint Research Centre (JRC), Ispra, 21027, Italy.

Open research Europe
|September 2, 2025
PubMed
まとめ
この要約は機械生成です。

再現性はイノベーションにとって不可欠ですが 実際には難しいものです 信頼性の高い科学的成果を確実にするために,発見,翻訳,応用の段階には異なるアプローチが必要です.

科学分野:

  • 科学的イノベーション
  • 研究の再現性

背景:

  • 科学の進歩とイノベーションには 複製性が不可欠です
  • 複製性の実現に関する現在の課題は,実用化と進歩を妨げています.
キーワード:
イノベーションアプリケーション発見再現性について翻訳

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