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Probability of an event

Classical definition
Suppose a trial has a finite number of equally likely elementary outcomes (nn of them). Exactly mm of them are favorable to event AA. Then the classical probability is P(A)=mn.P(A)=\dfrac{m}{n}. Properties: 0P(A)10\le P(A)\le 1; a certain event has m=nm=n, impossible — m=0m=0.
The key is the equal likelihood assumption; with “heavy” balls the same physical urn is a different model
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