Systems Biology
The central limit theorem states that the distribution of the sum (or average) of a large number of independent, identically distributed random variables approaches a normal distribution, regardless of the original distribution of the variables. This theorem is foundational in statistics and is crucial for making inferences about population parameters based on sample data.
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