Discrete random variable-expected value The 2019 Stack Overflow Developer Survey Results Are InCDF of a discrete random variable?Show that $E(Y|X)(omega):=sum_xin X(Omega)E(Y|X=x)chi_leftX=xright(omega)$ is a discrete random variableDefinition of Discrete Random VariableThe transformation of a random discrete variable.Expectation of a discrete function of a continuous random variableEquation for the expected value of a discrete random variableDiscrete Probability: Expected value of random variableExpected Value using the indicator random variableContinuous Random Variable: Distribution Function & Expected ValueThrow a dice-expected value.

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Discrete random variable-expected value



The 2019 Stack Overflow Developer Survey Results Are InCDF of a discrete random variable?Show that $E(Y|X)(omega):=sum_xin X(Omega)E(Y|X=x)chi_leftX=xright(omega)$ is a discrete random variableDefinition of Discrete Random VariableThe transformation of a random discrete variable.Expectation of a discrete function of a continuous random variableEquation for the expected value of a discrete random variableDiscrete Probability: Expected value of random variableExpected Value using the indicator random variableContinuous Random Variable: Distribution Function & Expected ValueThrow a dice-expected value.










0












$begingroup$


For each discrete random variable $X$ and a measurable set $B$, for which $P [B]> 0$,
show that
$E [X | B] = fracE [1_BX]
P [B]$
. I have $E [X | B] = fracsum x_i * P(X=x_i cap B)
P [B]$
and I don't know what next.










share|cite|improve this question











$endgroup$
















    0












    $begingroup$


    For each discrete random variable $X$ and a measurable set $B$, for which $P [B]> 0$,
    show that
    $E [X | B] = fracE [1_BX]
    P [B]$
    . I have $E [X | B] = fracsum x_i * P(X=x_i cap B)
    P [B]$
    and I don't know what next.










    share|cite|improve this question











    $endgroup$














      0












      0








      0





      $begingroup$


      For each discrete random variable $X$ and a measurable set $B$, for which $P [B]> 0$,
      show that
      $E [X | B] = fracE [1_BX]
      P [B]$
      . I have $E [X | B] = fracsum x_i * P(X=x_i cap B)
      P [B]$
      and I don't know what next.










      share|cite|improve this question











      $endgroup$




      For each discrete random variable $X$ and a measurable set $B$, for which $P [B]> 0$,
      show that
      $E [X | B] = fracE [1_BX]
      P [B]$
      . I have $E [X | B] = fracsum x_i * P(X=x_i cap B)
      P [B]$
      and I don't know what next.







      random-variables conditional-expectation expected-value






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Mar 30 at 20:20









      Ernie060

      2,940719




      2,940719










      asked Mar 30 at 17:04









      KingisKingis

      65




      65




















          1 Answer
          1






          active

          oldest

          votes


















          1












          $begingroup$

          $fracE[X 1_B]p[B]=fracsum_omega in Omega x times 1_Btimes P(X=x )
          P [B]=fracsum_omega in Bcup B^c x times 1_Btimes P(X=x )
          P [B]=fracsum_omega in B x times 1_Btimes P(X=x )+0
          P [B]=fracsum_omega in B x times P(X=x )
          P [B]=fracsum_omega in B x times P(X=x cap omega in B )
          P [B]=fracsum_omega in Omega x times P(X=x cap omega in B )
          P [B]=sum_omega in Omega x times fracP(X=x cap omega in BP [B] )=sum_omega in Omega x times P(X=x|B )=E(X|B)$



          another way



          $fracE[X 1_B]p[B]=fracEE[X 1_Bp[B]$



          $=fracE(XE[1_Bp[B]=fracE(Xg(X))p[B]$



          $=fracsum_x x g(x) p(X=x)p[B]=fracX=x) p(X=x)p[B]$



          $=fracsum_x x p(Bp[B]$



          $=fracsum_x x p(X=xp[B]$



          $=fracB) p[B]$



          $=sum_x x p(X=x|B)=E(X|B)$



          note that $E[1_B|X]$ is a random variable that it is a function of $X$.






          share|cite|improve this answer











          $endgroup$












          • $begingroup$
            What did you prove?
            $endgroup$
            – Kingis
            Mar 30 at 17:36










          • $begingroup$
            I edited it. is it what you want or not?
            $endgroup$
            – masoud
            Mar 30 at 19:15










          • $begingroup$
            Why do you use $omega$?
            $endgroup$
            – Kingis
            Mar 30 at 19:28










          • $begingroup$
            since $E(X 1_B)=E(X 1_B(omega))$ , $B$ is a measurable set so $B in F$ in the probability space $(Omega, F ,P)$ (so $Bsubset Omega$ such that $Bin F$
            $endgroup$
            – masoud
            Mar 30 at 19:32











          • $begingroup$
            okey but i must write probably $omega$ im my equation when i have X
            $endgroup$
            – Kingis
            Mar 30 at 19:47











          Your Answer





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          1 Answer
          1






          active

          oldest

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          1 Answer
          1






          active

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          active

          oldest

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          active

          oldest

          votes









          1












          $begingroup$

          $fracE[X 1_B]p[B]=fracsum_omega in Omega x times 1_Btimes P(X=x )
          P [B]=fracsum_omega in Bcup B^c x times 1_Btimes P(X=x )
          P [B]=fracsum_omega in B x times 1_Btimes P(X=x )+0
          P [B]=fracsum_omega in B x times P(X=x )
          P [B]=fracsum_omega in B x times P(X=x cap omega in B )
          P [B]=fracsum_omega in Omega x times P(X=x cap omega in B )
          P [B]=sum_omega in Omega x times fracP(X=x cap omega in BP [B] )=sum_omega in Omega x times P(X=x|B )=E(X|B)$



          another way



          $fracE[X 1_B]p[B]=fracEE[X 1_Bp[B]$



          $=fracE(XE[1_Bp[B]=fracE(Xg(X))p[B]$



          $=fracsum_x x g(x) p(X=x)p[B]=fracX=x) p(X=x)p[B]$



          $=fracsum_x x p(Bp[B]$



          $=fracsum_x x p(X=xp[B]$



          $=fracB) p[B]$



          $=sum_x x p(X=x|B)=E(X|B)$



          note that $E[1_B|X]$ is a random variable that it is a function of $X$.






          share|cite|improve this answer











          $endgroup$












          • $begingroup$
            What did you prove?
            $endgroup$
            – Kingis
            Mar 30 at 17:36










          • $begingroup$
            I edited it. is it what you want or not?
            $endgroup$
            – masoud
            Mar 30 at 19:15










          • $begingroup$
            Why do you use $omega$?
            $endgroup$
            – Kingis
            Mar 30 at 19:28










          • $begingroup$
            since $E(X 1_B)=E(X 1_B(omega))$ , $B$ is a measurable set so $B in F$ in the probability space $(Omega, F ,P)$ (so $Bsubset Omega$ such that $Bin F$
            $endgroup$
            – masoud
            Mar 30 at 19:32











          • $begingroup$
            okey but i must write probably $omega$ im my equation when i have X
            $endgroup$
            – Kingis
            Mar 30 at 19:47















          1












          $begingroup$

          $fracE[X 1_B]p[B]=fracsum_omega in Omega x times 1_Btimes P(X=x )
          P [B]=fracsum_omega in Bcup B^c x times 1_Btimes P(X=x )
          P [B]=fracsum_omega in B x times 1_Btimes P(X=x )+0
          P [B]=fracsum_omega in B x times P(X=x )
          P [B]=fracsum_omega in B x times P(X=x cap omega in B )
          P [B]=fracsum_omega in Omega x times P(X=x cap omega in B )
          P [B]=sum_omega in Omega x times fracP(X=x cap omega in BP [B] )=sum_omega in Omega x times P(X=x|B )=E(X|B)$



          another way



          $fracE[X 1_B]p[B]=fracEE[X 1_Bp[B]$



          $=fracE(XE[1_Bp[B]=fracE(Xg(X))p[B]$



          $=fracsum_x x g(x) p(X=x)p[B]=fracX=x) p(X=x)p[B]$



          $=fracsum_x x p(Bp[B]$



          $=fracsum_x x p(X=xp[B]$



          $=fracB) p[B]$



          $=sum_x x p(X=x|B)=E(X|B)$



          note that $E[1_B|X]$ is a random variable that it is a function of $X$.






          share|cite|improve this answer











          $endgroup$












          • $begingroup$
            What did you prove?
            $endgroup$
            – Kingis
            Mar 30 at 17:36










          • $begingroup$
            I edited it. is it what you want or not?
            $endgroup$
            – masoud
            Mar 30 at 19:15










          • $begingroup$
            Why do you use $omega$?
            $endgroup$
            – Kingis
            Mar 30 at 19:28










          • $begingroup$
            since $E(X 1_B)=E(X 1_B(omega))$ , $B$ is a measurable set so $B in F$ in the probability space $(Omega, F ,P)$ (so $Bsubset Omega$ such that $Bin F$
            $endgroup$
            – masoud
            Mar 30 at 19:32











          • $begingroup$
            okey but i must write probably $omega$ im my equation when i have X
            $endgroup$
            – Kingis
            Mar 30 at 19:47













          1












          1








          1





          $begingroup$

          $fracE[X 1_B]p[B]=fracsum_omega in Omega x times 1_Btimes P(X=x )
          P [B]=fracsum_omega in Bcup B^c x times 1_Btimes P(X=x )
          P [B]=fracsum_omega in B x times 1_Btimes P(X=x )+0
          P [B]=fracsum_omega in B x times P(X=x )
          P [B]=fracsum_omega in B x times P(X=x cap omega in B )
          P [B]=fracsum_omega in Omega x times P(X=x cap omega in B )
          P [B]=sum_omega in Omega x times fracP(X=x cap omega in BP [B] )=sum_omega in Omega x times P(X=x|B )=E(X|B)$



          another way



          $fracE[X 1_B]p[B]=fracEE[X 1_Bp[B]$



          $=fracE(XE[1_Bp[B]=fracE(Xg(X))p[B]$



          $=fracsum_x x g(x) p(X=x)p[B]=fracX=x) p(X=x)p[B]$



          $=fracsum_x x p(Bp[B]$



          $=fracsum_x x p(X=xp[B]$



          $=fracB) p[B]$



          $=sum_x x p(X=x|B)=E(X|B)$



          note that $E[1_B|X]$ is a random variable that it is a function of $X$.






          share|cite|improve this answer











          $endgroup$



          $fracE[X 1_B]p[B]=fracsum_omega in Omega x times 1_Btimes P(X=x )
          P [B]=fracsum_omega in Bcup B^c x times 1_Btimes P(X=x )
          P [B]=fracsum_omega in B x times 1_Btimes P(X=x )+0
          P [B]=fracsum_omega in B x times P(X=x )
          P [B]=fracsum_omega in B x times P(X=x cap omega in B )
          P [B]=fracsum_omega in Omega x times P(X=x cap omega in B )
          P [B]=sum_omega in Omega x times fracP(X=x cap omega in BP [B] )=sum_omega in Omega x times P(X=x|B )=E(X|B)$



          another way



          $fracE[X 1_B]p[B]=fracEE[X 1_Bp[B]$



          $=fracE(XE[1_Bp[B]=fracE(Xg(X))p[B]$



          $=fracsum_x x g(x) p(X=x)p[B]=fracX=x) p(X=x)p[B]$



          $=fracsum_x x p(Bp[B]$



          $=fracsum_x x p(X=xp[B]$



          $=fracB) p[B]$



          $=sum_x x p(X=x|B)=E(X|B)$



          note that $E[1_B|X]$ is a random variable that it is a function of $X$.







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Mar 31 at 13:12

























          answered Mar 30 at 17:26









          masoudmasoud

          3228




          3228











          • $begingroup$
            What did you prove?
            $endgroup$
            – Kingis
            Mar 30 at 17:36










          • $begingroup$
            I edited it. is it what you want or not?
            $endgroup$
            – masoud
            Mar 30 at 19:15










          • $begingroup$
            Why do you use $omega$?
            $endgroup$
            – Kingis
            Mar 30 at 19:28










          • $begingroup$
            since $E(X 1_B)=E(X 1_B(omega))$ , $B$ is a measurable set so $B in F$ in the probability space $(Omega, F ,P)$ (so $Bsubset Omega$ such that $Bin F$
            $endgroup$
            – masoud
            Mar 30 at 19:32











          • $begingroup$
            okey but i must write probably $omega$ im my equation when i have X
            $endgroup$
            – Kingis
            Mar 30 at 19:47
















          • $begingroup$
            What did you prove?
            $endgroup$
            – Kingis
            Mar 30 at 17:36










          • $begingroup$
            I edited it. is it what you want or not?
            $endgroup$
            – masoud
            Mar 30 at 19:15










          • $begingroup$
            Why do you use $omega$?
            $endgroup$
            – Kingis
            Mar 30 at 19:28










          • $begingroup$
            since $E(X 1_B)=E(X 1_B(omega))$ , $B$ is a measurable set so $B in F$ in the probability space $(Omega, F ,P)$ (so $Bsubset Omega$ such that $Bin F$
            $endgroup$
            – masoud
            Mar 30 at 19:32











          • $begingroup$
            okey but i must write probably $omega$ im my equation when i have X
            $endgroup$
            – Kingis
            Mar 30 at 19:47















          $begingroup$
          What did you prove?
          $endgroup$
          – Kingis
          Mar 30 at 17:36




          $begingroup$
          What did you prove?
          $endgroup$
          – Kingis
          Mar 30 at 17:36












          $begingroup$
          I edited it. is it what you want or not?
          $endgroup$
          – masoud
          Mar 30 at 19:15




          $begingroup$
          I edited it. is it what you want or not?
          $endgroup$
          – masoud
          Mar 30 at 19:15












          $begingroup$
          Why do you use $omega$?
          $endgroup$
          – Kingis
          Mar 30 at 19:28




          $begingroup$
          Why do you use $omega$?
          $endgroup$
          – Kingis
          Mar 30 at 19:28












          $begingroup$
          since $E(X 1_B)=E(X 1_B(omega))$ , $B$ is a measurable set so $B in F$ in the probability space $(Omega, F ,P)$ (so $Bsubset Omega$ such that $Bin F$
          $endgroup$
          – masoud
          Mar 30 at 19:32





          $begingroup$
          since $E(X 1_B)=E(X 1_B(omega))$ , $B$ is a measurable set so $B in F$ in the probability space $(Omega, F ,P)$ (so $Bsubset Omega$ such that $Bin F$
          $endgroup$
          – masoud
          Mar 30 at 19:32













          $begingroup$
          okey but i must write probably $omega$ im my equation when i have X
          $endgroup$
          – Kingis
          Mar 30 at 19:47




          $begingroup$
          okey but i must write probably $omega$ im my equation when i have X
          $endgroup$
          – Kingis
          Mar 30 at 19:47

















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