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::: 3.03 Further on Probability :::

n order to make further and more complex calculations on probabilites, more properties need to be made known. For example, the union of two events is the "or" case - either event A or event B or both. Intersection is the "and" case - both. The conditional probability (P(B|A) - read "the probability of B given A") is defined by P(B|A) = P(A and B)/P(A). Other fundamental rules of probability are:
  • 0 < P(A) < 1
  • P(S) = 1
  • P(Ac) = 1 - P(A)
  • P(A or B) = P(A) + P(B) - P(A and B)
  • P(A and B) = P(A)P(B|A)
  • If A and B are disjoint, then P(A and B) = 0. Because of this, P(A or B) = P(A) + P(B) for unions.
  • A and B are independant when P(B|A) = P(B). Because of this, P(A and B) = P(A)P(B) for intersections.


:: 3.00 :: 3.01 :: 3.02 :: 3.03 :: 3.04 ::
:: 3.10 :: 3.11 ::
:: 3.20 :: 3.21 ::
:: 3.30 :: 3.31 :: 3.32 ::


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