Business Analytics
The Central Limit Theorem (CLT) states that the distribution of the sample mean will approach a normal distribution as the sample size increases, regardless of the shape of the population distribution. This concept is fundamental in statistics because it allows for making inferences about population parameters based on sample statistics, facilitating more accurate estimations and probabilistic conclusions.
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