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Conditional Probability

  • Frank A. Haight
Part of the Mathematical Concepts and Methods in Science and Engineering book series (MCSENG, volume 23)

Abstract

This chapter deals with probability distributions and their properties—very much as in Chapter 1—but with the additional feature that the total sample space is constrained by a “given” event. Frequently the event will consist of particular values imposed on a random variable. To prepare for the formal development of conditional probability, the following example will be instructive.

Keywords

Conditional Probability Independent Random Variable Negative Binomial Distribution Geometric Distribution Probability Generate Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Press, New York 1981

Authors and Affiliations

  • Frank A. Haight
    • 1
  1. 1.The Pennsylvania State UniversityPennsylvaniaUSA

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