Difference between revisions of "Probability mass function"
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(New page: In probability theory, a ''probability mass function'' say ''p'' is a real valued function of a discrete variable say ''x'', such that the value ''p(x<sub>k</sub>)'' is the probability...) |
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| − | The collection of pairs ( x<sub>k</sub> , p(x<sub>k</sub>) ) is the [[probability distribution]] of ''x''. | + | The collection of pairs ( x<sub>k</sub> , p(x<sub>k</sub>) ) is the (discrete) [[probability distribution]] of ''x''. |
[[Category:mathematics]] | [[Category:mathematics]] | ||
Revision as of 14:07, December 21, 2007
In probability theory, a probability mass function say p is a real valued function of a discrete variable say x, such that the value p(xk) is the probability of the variable x having the value xk.
In order to qualify, such a function must meet the following criteria:
<math>p(x_{k}) \geq 0 </math> <math> \forall x </math>
<math>\sum_{k} p(x_{k}) = 1 </math>
The collection of pairs ( xk , p(xk) ) is the (discrete) probability distribution of x.