Why is replication important in an experiment

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. Why is replication important in experimental design? – The replication reduces variability in experimental results.

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Scientific truth, however, is not absolute but relative to time, context, and the method used.

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This helps maintain integrity of data.

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ASTM , in standard E1847, defines replication as ".

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Getting the same result when an experiment is repeated is called replication.

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In some fields, it is standard procedure for a scientist to replicate his or her own results before publication in order to ensure that the findings were not due to.

It’s because of this that replication is so important in science.

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For example, if.

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In some fields, it is standard procedure for a scientist to replicate his or her own results before publication in order to ensure that the findings were not due to.

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Examples include taking two blood pressure readings on each person or dividing a blood sample into two aliquots and measuring the concentration of a.

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Replication is necessary to introduce systematic variation into an experiment.

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Replication is a key idea in science and statistics, but is often misunderstood by researchers because they receive little education or training on experimental design.

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It also allows for more statistical power, which can be useful when testing for small effects.

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But in many research fields it has proved difficult to achieve.

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Sep 13, 2022 · Why is it important to have biological replicates in an RNA-seq experiment? Biological variability is usually the largest effect limiting the power of RNA-seq analysis.

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