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The Law of Large Numbers states that as the number of trials increases, the theoretical probability and relative frequency converge to zero, impacting sample accuracy.
The Law of Large Numbers states that as the number of trials in a probability experiment increases, the difference between the theoretical probability of an event and the relative frequency approaches zero. The law is crucial in understanding how sample sizes impact the accuracy of averages and the convergence of experimental probability to theoretical probability.
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