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Sample size determination is the process of calculating the number of observations or replicates needed in a study to ensure that results are statistically valid and can be generalized to a larger population. This concept is crucial for achieving reliable conclusions in experiments, particularly in A/B testing, where comparing different versions of a design or feature requires enough data to detect significant differences.
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