Sampling (statistics) | Design of experiments
In engineering, science, and statistics, replication is the repetition of an experimental condition so that the variability associated with the phenomenon can be estimated. ASTM, in standard E1847, defines replication as "... the repetition of the set of all the treatment combinations to be compared in an experiment. Each of the repetitions is called a replicate." Replication is not the same as repeated measurements of the same item: they are dealt with differently in statistical experimental design and data analysis. For proper sampling, a process or batch of products should be in reasonable statistical control; inherent random variation is present but variation due to assignable (special) causes is not. Evaluation or testing of a single item does not allow for item-to-item variation and may not represent the batch or process. Replication is needed to account for this variation among items and treatments. (Wikipedia).
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From playlist Biology
Computing z-scores(standard scores) and comparing them
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From playlist Statistics
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From playlist Learning medical statistics with python and Jupyter notebooks
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From playlist Statistics (Full Length Videos)
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From playlist Statistics (Full Length Videos)
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From playlist Statistics
Replication or Exploration? Sequential Design for Stochastic Simulation Experiments
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From playlist DSI Virtual Seminar Series
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The Difference Between Technical and Biological Replicates
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From playlist StatQuest
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From playlist Language Assessment & Technology
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From playlist AATRN 2019
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From playlist Statistical Rethinking Fall 2017
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From playlist Probability and Statistics
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