Abstract
It is quantitatively presented for a large error-type domain (from the Gaussian type to the Cauchy-distribution) how the accuracy of the arithmetic means increases (as an estimate of the location parameter) if the n sample size gets larger and larger. An even theoretically interesting result is that the law of large numbers can be fulfilled if the asymptotic scatter is infinite.
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