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=[[MA375]]: The Principle of Induction=
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Lecture Notes
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==Definitions==
 
==Definitions==
  
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''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-
 
''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]]

Revision as of 08:10, 20 May 2013

MA375: The Principle of Induction

Lecture Notes


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}<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- ---- [[Main_Page_MA375Fall2008walther|Back to MA375, Fall 2008, Prof. Walther]] $

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