Law of Large Numbers


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Law of Large Numbers - short version

This law states that when an experiment is conducted to large number of times, the empirical probabilities of the process will converge to the classical probabilities.



Law of Large Numbers - long version

In probability theory, the law of large numbers (LLN) is a theorem that describes the result of performing the same experiment a large number of times. According to the law, the average of the results obtained from a large number of trials should be close to the expected value, and will tend to become closer as more trials are performed.



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