The Central Limit Theorem states that:
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The sum of independent random variables follows a Poisson distribution
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For a large sample size, the sampling distribution of the sample mean approaches a normal distribution, regardless of the population distribution
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The variance of a population is always constant
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The probability of independent events is equal
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