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The Central Limit Theorem (CLT) is one of the most important concepts in statistics and quantitative analysis because it provides a foundation for making inferences about a population from sample data. It explains how the distribution of sample means behaves when repeated random samples are drawn from a population. The theorem is particularly useful in managerial applications because managers often make decisions based on sample information rather than complete population data. The Central Limit Theorem states that, if sufficiently large random samples are drawn from a population with a finite mean and finite variance, the distribution of the sample means ______ _________ ______ _________ ________ ___.
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