COMPSCI 240 Lecture Notes - Lecture 10: Pcx, Random Variable, Sample Space

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Random variable a function that maps from the sample space to the real numbers r k no ) , x and y associated with the same experiment . For , y c- r , we can define events of the form. Pmf of x and y px , "s ( x , y ) =p ( x and if y ) =p ( { x=x} m y=y } ) * useful for describing multiple properties over the outcome space ot a single experiment. Pmf , can we compute pcx =x ) and ply=y ) pxlx ) = pcx = Pnf of x and y we say pxlx ) is the. Marginalpmf_ of x and pyly ) is the marginal dmf ot y : computing marginal from the. Joint distribution: suppose y takes the values yi yz , nu. { y= y , } , tyz } { y=yn } form partitions of ny .

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