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The Central Limit Theorem is a fundamental statistical principle that describes the behavior of the average of a large number of identically distributed, independent random variables.

Sample size calculation is a crucial step in designing an experiment or study, ensuring that the results are statistically significant and generalizable. Below are the main components and formulas used to calculate the sample size for different scenarios, particularly for estimating a population mean or proportion.

A Gentle Introduction to Statistical Power and Power Analysis in Python - MachineLearningMastery.com

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