How large a sample for central limit theorem

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With larger samples, the sample mean is more likely to fall close to the population mean. For random sampling with a large sample size n, the sampling distribution of the sample mean is approximately a normal distribution. This result applies no matter what the shape of the probability distribution from which the samples are taken. Central Limit Theorem: How Large a Sample?

Reference no: EM13153324

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