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Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method.For the findings of a study to be reproducible means that results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated.
In engineering, science, and statistics, replication is the process of repeating a study or experiment under the same or similar conditions to support the original claim, which is crucial to confirm the accuracy of results as well as for identifying and correcting the flaws in the original experiment. [1]
The repeatability coefficient is a precision measure which represents the value below which the absolute difference between two repeated test results may be expected to lie with a probability of 95%. [citation needed] The standard deviation under repeatability conditions is part of precision and accuracy. [citation needed]
Differences between disciplines and epistemic cultures has largely contributed to different acceptions. The reproduction of past research has been a leading source of dissent. In an experimental setting, reproduction relies on the same set-up and apparatus, while replication only requires the use of the same methodology.
The exact definitions of the terms “reproducibility” and “replicability,” however – or at least the difference between them – vary considerably across research disciplines and fields of study. [7] [4] [8] [9] The study of reproducibility is an important topic in metascience. [10]
That's why training sessions should be short and sweet, just 10-15 minutes or so at a time a few times a day. Try to train in a calm environment, where there aren't a whole lot of distractions to ...
(Reuters) - U.S. President-elect Donald Trump in an interview published on Thursday said he will be talking to Robert F. Kennedy Jr., his nominee to run the Department of Health and Human Services ...
ANOVA gauge repeatability and reproducibility is a measurement systems analysis technique that uses an analysis of variance (ANOVA) random effects model to assess a measurement system. The evaluation of a measurement system is not limited to gauge but to all types of measuring instruments , test methods , and other measurement systems.