Law of large numbers, Probability, Sampling & Estimation

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Law of large numbers, in statistics, the theorem that, as the number of identically distributed, randomly generated variables increases, their sample mean (average) approaches their theoretical mean. The law of large numbers was first proved by the Swiss mathematician Jakob Bernoulli in 1713. He

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Law of Large Numbers Strong and weak, with proofs and exercises

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