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With larger samples, the sample mean is more likely to fall close to the population mean.
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?