Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.

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For each individual in a finite population a recorded value is available. A small proportion of the values is in error, all the errors being of the same sign and the ...