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For repeated events, probability can be estimated by the ``long-run''
relative frequency of an event out of a set of many trials.
If an event occurs
times in
trials then the relative frequency
provides an unbiased estimate of the probability of the event.
In the asymptotic limit as the number of trials
tends to infinity,
the relative frequency converges to the true probability of the event
(``Law of large numbers''). This interpretation involving repeated
trials is known as the ``frequentist'' approach to probability.
David Stephenson
2005-09-30