Conditional expectation of exponential rv











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Let $ X $~$Expo(lambda)$. Find $E(X|X < 1) $.
I can find the conditional diaribution of$X|X<1$ and then evaluate the sum. But the question wants me to find the solution using law of total expectation and i don't know how to do it without using calculus. Any help would be appreciated!










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    up vote
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    down vote

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    Let $ X $~$Expo(lambda)$. Find $E(X|X < 1) $.
    I can find the conditional diaribution of$X|X<1$ and then evaluate the sum. But the question wants me to find the solution using law of total expectation and i don't know how to do it without using calculus. Any help would be appreciated!










    share|cite|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Let $ X $~$Expo(lambda)$. Find $E(X|X < 1) $.
      I can find the conditional diaribution of$X|X<1$ and then evaluate the sum. But the question wants me to find the solution using law of total expectation and i don't know how to do it without using calculus. Any help would be appreciated!










      share|cite|improve this question













      Let $ X $~$Expo(lambda)$. Find $E(X|X < 1) $.
      I can find the conditional diaribution of$X|X<1$ and then evaluate the sum. But the question wants me to find the solution using law of total expectation and i don't know how to do it without using calculus. Any help would be appreciated!







      probability probability-theory






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      asked Nov 24 at 5:28









      user587126

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          begin{align}E[X]&=E[X|X>1]P(X>1)+E[X|X<1]P(X<1) \
          &=(1+E[X])P(X>1)+E[X|X<1]P(X<1)end{align}



          Where I have used the memoryless property.



          Hopefully you can take it from here.






          share|cite|improve this answer





















          • Thanks! It is really difficult to remember all the properties of a certain distribution while solving problems!
            – user587126
            Nov 24 at 6:53










          • Can you please elaborate how you used the memoryless property?
            – user587126
            Nov 24 at 7:09










          • memoryless property tells us $E[X|X>x] = x + E[X]$.
            – Siong Thye Goh
            Nov 24 at 7:25










          • See stats.stackexchange.com/questions/48496/… for a proof.
            – N74
            Nov 24 at 7:27










          • But how do you get this from $P(X>s+t|X>t)=P(X>s)$?
            – user587126
            Nov 24 at 7:29











          Your Answer





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          1 Answer
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          active

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          1 Answer
          1






          active

          oldest

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          active

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          active

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          up vote
          0
          down vote



          accepted










          begin{align}E[X]&=E[X|X>1]P(X>1)+E[X|X<1]P(X<1) \
          &=(1+E[X])P(X>1)+E[X|X<1]P(X<1)end{align}



          Where I have used the memoryless property.



          Hopefully you can take it from here.






          share|cite|improve this answer





















          • Thanks! It is really difficult to remember all the properties of a certain distribution while solving problems!
            – user587126
            Nov 24 at 6:53










          • Can you please elaborate how you used the memoryless property?
            – user587126
            Nov 24 at 7:09










          • memoryless property tells us $E[X|X>x] = x + E[X]$.
            – Siong Thye Goh
            Nov 24 at 7:25










          • See stats.stackexchange.com/questions/48496/… for a proof.
            – N74
            Nov 24 at 7:27










          • But how do you get this from $P(X>s+t|X>t)=P(X>s)$?
            – user587126
            Nov 24 at 7:29















          up vote
          0
          down vote



          accepted










          begin{align}E[X]&=E[X|X>1]P(X>1)+E[X|X<1]P(X<1) \
          &=(1+E[X])P(X>1)+E[X|X<1]P(X<1)end{align}



          Where I have used the memoryless property.



          Hopefully you can take it from here.






          share|cite|improve this answer





















          • Thanks! It is really difficult to remember all the properties of a certain distribution while solving problems!
            – user587126
            Nov 24 at 6:53










          • Can you please elaborate how you used the memoryless property?
            – user587126
            Nov 24 at 7:09










          • memoryless property tells us $E[X|X>x] = x + E[X]$.
            – Siong Thye Goh
            Nov 24 at 7:25










          • See stats.stackexchange.com/questions/48496/… for a proof.
            – N74
            Nov 24 at 7:27










          • But how do you get this from $P(X>s+t|X>t)=P(X>s)$?
            – user587126
            Nov 24 at 7:29













          up vote
          0
          down vote



          accepted







          up vote
          0
          down vote



          accepted






          begin{align}E[X]&=E[X|X>1]P(X>1)+E[X|X<1]P(X<1) \
          &=(1+E[X])P(X>1)+E[X|X<1]P(X<1)end{align}



          Where I have used the memoryless property.



          Hopefully you can take it from here.






          share|cite|improve this answer












          begin{align}E[X]&=E[X|X>1]P(X>1)+E[X|X<1]P(X<1) \
          &=(1+E[X])P(X>1)+E[X|X<1]P(X<1)end{align}



          Where I have used the memoryless property.



          Hopefully you can take it from here.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Nov 24 at 5:35









          Siong Thye Goh

          98.2k1463116




          98.2k1463116












          • Thanks! It is really difficult to remember all the properties of a certain distribution while solving problems!
            – user587126
            Nov 24 at 6:53










          • Can you please elaborate how you used the memoryless property?
            – user587126
            Nov 24 at 7:09










          • memoryless property tells us $E[X|X>x] = x + E[X]$.
            – Siong Thye Goh
            Nov 24 at 7:25










          • See stats.stackexchange.com/questions/48496/… for a proof.
            – N74
            Nov 24 at 7:27










          • But how do you get this from $P(X>s+t|X>t)=P(X>s)$?
            – user587126
            Nov 24 at 7:29


















          • Thanks! It is really difficult to remember all the properties of a certain distribution while solving problems!
            – user587126
            Nov 24 at 6:53










          • Can you please elaborate how you used the memoryless property?
            – user587126
            Nov 24 at 7:09










          • memoryless property tells us $E[X|X>x] = x + E[X]$.
            – Siong Thye Goh
            Nov 24 at 7:25










          • See stats.stackexchange.com/questions/48496/… for a proof.
            – N74
            Nov 24 at 7:27










          • But how do you get this from $P(X>s+t|X>t)=P(X>s)$?
            – user587126
            Nov 24 at 7:29
















          Thanks! It is really difficult to remember all the properties of a certain distribution while solving problems!
          – user587126
          Nov 24 at 6:53




          Thanks! It is really difficult to remember all the properties of a certain distribution while solving problems!
          – user587126
          Nov 24 at 6:53












          Can you please elaborate how you used the memoryless property?
          – user587126
          Nov 24 at 7:09




          Can you please elaborate how you used the memoryless property?
          – user587126
          Nov 24 at 7:09












          memoryless property tells us $E[X|X>x] = x + E[X]$.
          – Siong Thye Goh
          Nov 24 at 7:25




          memoryless property tells us $E[X|X>x] = x + E[X]$.
          – Siong Thye Goh
          Nov 24 at 7:25












          See stats.stackexchange.com/questions/48496/… for a proof.
          – N74
          Nov 24 at 7:27




          See stats.stackexchange.com/questions/48496/… for a proof.
          – N74
          Nov 24 at 7:27












          But how do you get this from $P(X>s+t|X>t)=P(X>s)$?
          – user587126
          Nov 24 at 7:29




          But how do you get this from $P(X>s+t|X>t)=P(X>s)$?
          – user587126
          Nov 24 at 7:29


















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