General Theory of Finite Probability Spaces

  • Melvin Hausner


If S is any probability space (Definition 1.6), we have defined an event A as any subset of S (Definition 1.12). In Chapter 2 we worked with a uniform space S and considered the problem of computing the probability p(A) by counting the elements in A and in S and using Equation 1.11: p(A) = n(A)/ n(S).


Conditional Probability Probability Space Sample Space Product Rule Exclusive Event 
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Copyright information

© Melvin Hausner 1995

Authors and Affiliations

  • Melvin Hausner
    • 1
  1. 1.Washington Square and University CollegeNew York UniversityUSA

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