Discrete Probability Models

3 probabilities prs1 prs2 prs3 assigned

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: s3 , . . .} 3 Probabilities: Pr(s1 ), Pr(s2 ), Pr(s3 ), . . ., assigned based on analysis of experiment, with each Pr(si ) ≥ 0 and Pr(s1 ) + Pr(s2 ) + Pr(s3 ) + . . . = 1 4 Probability of event: If E = {s1 , s2 , . . . , sk }, Pr(E ) = Pr(s1 ) + Pr(s2 ) + Pr(s3 ) + . . . + Pr(sk ) 5 Discrete uniform models: If Ω = {s1 , s2 , . . . , sn } (finite) and Pr(s1 ) = Pr(s2 ) = . . . = Pr(sn ) (= 1/n) then Pr(E ) = #(outcomes in E ) |E | = #(outcomes in Ω) n This was 17th century (Fermat, Pascal) definition of probability Math 30530 (Fall 2012) Discrete models August 28, 2013 2/2...
View Full Document

Ask a homework question - tutors are online