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| + | =[[MA375]]: Lecture Notes= | ||
| + | Fall 2008, Prof. Walther | ||
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==Definitions== | ==Definitions== | ||
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A sample space is a set whose elements are called events. | A sample space is a set whose elements are called events. | ||
| − | ''A Probability Function'' - is a function where p: S -> (real number) with p(s)being an element of [0,1] Further, In a case where S is a finite we have <math>\sum_{L exists in S} p(s)= 1 | + | ''A Probability Function'' - is a function where p: S -> (real number) with p(s) being an element of [0,1] Further, In a case where S is a finite we have <math>\sum_{L exists in S}{p(s)}={1}</math>I- typed-quite-a-few-notes-for- this- day- but- went- to- check- it- and -got- an- error- in- this- equation.- Anyone- know- how -to- fix- this?-Jacob Ahlborn- |
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| + | [[Main_Page_MA375Fall2008walther|Back to MA375, Fall 2008, Prof. Walther]] | ||
Latest revision as of 08:17, 20 May 2013
MA375: Lecture Notes
Fall 2008, Prof. Walther
Definitions
Sample Space
A sample space is a set whose elements are called events.
A Probability Function - is a function where p: S -> (real number) with p(s) being an element of [0,1] Further, In a case where S is a finite we have $ \sum_{L exists in S}{p(s)}={1} $I- typed-quite-a-few-notes-for- this- day- but- went- to- check- it- and -got- an- error- in- this- equation.- Anyone- know- how -to- fix- this?-Jacob Ahlborn-
