Replication reduces variability in experimental results. Stopping variability increases its significance and confidence level. Finally, researchers can draw conclusions about their experiments.
In the experimental design, replicate means that each treatment will be assigned to many participants. Alternatively, the entire experiment is repeated with a large group of subjects. The process improves the validity of our test results.
Replicates can be used to measure experimental variation, statistical tests can be applied to assess differences. Averaging across replicates improves the accuracy of gene expression measurements and allows the detection of smaller changes.
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