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De Moivre's law, also known as De Moivre's theorem, is a principle in probability theory, particularly related to the distribution of binomial outcomes. Named after the French mathematician Abraham de Moivre, it states that as the number of trials in a binomial experiment increases, the binomial distribution approximately approaches a normal distribution. Mathematically, the law can be expressed in terms of the central limit theorem.

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