Abstract
Research data may be close to expectation. However, a difference from control of 0.000 is hardly compatible with random sampling. As it comes to well-balanced random sampling of representative experimental data, nature will be helpful to provide researchers with results close to perfection. However, because biological processes are full of variations, nature will never allow for 100% perfection. Statistical distributions can account for this lack of perfection in experimental data sampling, and provide exact probability levels of finding results close to expectation.
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Cleophas, T.J., Zwinderman, A.H. (2012). Research Data Closer to Expectation than Compatible with Random Sampling. In: Statistics Applied to Clinical Studies. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2863-9_11
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DOI: https://doi.org/10.1007/978-94-007-2863-9_11
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