A statistical test will not be able to detect a true difference if the sample size is too small compared with the magnitude of the difference. When designing experiments, the experimenter should try to ensure that a sufficient amount of data are collected to be reasonably sure that a difference of a specified size will be detected. R has methods for doing these calculations in the simple cases of comparing means using one- or two-sample t tests and comparing two proportions.
CITATION STYLE
Pardo, S. (2020). Power and the Myth of Sample Size Determination. In Statistical Analysis of Empirical Data (pp. 41–52). Springer International Publishing. https://doi.org/10.1007/978-3-030-43328-4_5
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