Find the expected value and the variance of the time at which the plumber completes the project












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This is a problem 8 from Chapter 8 "Introduction to probability" by Anderson:




Our faucet is broken, and a plumber has been called. The arrival time
of the plumber is uniformly distributed between 1pm and 7pm. The time
required to fix the broken faucet is then exponentially distributed
with mean 30 minutes. Supposing that the two times are independent,
find the expected value and the variance of the time at which the
plumber completes the project.




I've solved it, but I am not sure if I interpreted the statement of the problem (translated into the language of probability distribution) correctly. So let X be the arrival time of the plumber, then $Xsim Unif[1,7]$. Let Y be the time it takes to fix the broken faucet, then $Ysim Exp(2)$. Let Z be the time at which the plumber completes the project, then $Z=X+Y$. Now $E[Z]=E[X+Y]=E[X]+E[Y]=frac{1+7}{2}+frac{1}{2}=4.5$
$Var(Z) = text{(since X and Y are independent)} Var(X)+Var(Y) = frac{{(7-1)}^2}{12}+frac{1}{2^2}=3.25$



Are there any mistakes in my solution? Thanks.










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    This is a problem 8 from Chapter 8 "Introduction to probability" by Anderson:




    Our faucet is broken, and a plumber has been called. The arrival time
    of the plumber is uniformly distributed between 1pm and 7pm. The time
    required to fix the broken faucet is then exponentially distributed
    with mean 30 minutes. Supposing that the two times are independent,
    find the expected value and the variance of the time at which the
    plumber completes the project.




    I've solved it, but I am not sure if I interpreted the statement of the problem (translated into the language of probability distribution) correctly. So let X be the arrival time of the plumber, then $Xsim Unif[1,7]$. Let Y be the time it takes to fix the broken faucet, then $Ysim Exp(2)$. Let Z be the time at which the plumber completes the project, then $Z=X+Y$. Now $E[Z]=E[X+Y]=E[X]+E[Y]=frac{1+7}{2}+frac{1}{2}=4.5$
    $Var(Z) = text{(since X and Y are independent)} Var(X)+Var(Y) = frac{{(7-1)}^2}{12}+frac{1}{2^2}=3.25$



    Are there any mistakes in my solution? Thanks.










    share|cite|improve this question

























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      0







      This is a problem 8 from Chapter 8 "Introduction to probability" by Anderson:




      Our faucet is broken, and a plumber has been called. The arrival time
      of the plumber is uniformly distributed between 1pm and 7pm. The time
      required to fix the broken faucet is then exponentially distributed
      with mean 30 minutes. Supposing that the two times are independent,
      find the expected value and the variance of the time at which the
      plumber completes the project.




      I've solved it, but I am not sure if I interpreted the statement of the problem (translated into the language of probability distribution) correctly. So let X be the arrival time of the plumber, then $Xsim Unif[1,7]$. Let Y be the time it takes to fix the broken faucet, then $Ysim Exp(2)$. Let Z be the time at which the plumber completes the project, then $Z=X+Y$. Now $E[Z]=E[X+Y]=E[X]+E[Y]=frac{1+7}{2}+frac{1}{2}=4.5$
      $Var(Z) = text{(since X and Y are independent)} Var(X)+Var(Y) = frac{{(7-1)}^2}{12}+frac{1}{2^2}=3.25$



      Are there any mistakes in my solution? Thanks.










      share|cite|improve this question













      This is a problem 8 from Chapter 8 "Introduction to probability" by Anderson:




      Our faucet is broken, and a plumber has been called. The arrival time
      of the plumber is uniformly distributed between 1pm and 7pm. The time
      required to fix the broken faucet is then exponentially distributed
      with mean 30 minutes. Supposing that the two times are independent,
      find the expected value and the variance of the time at which the
      plumber completes the project.




      I've solved it, but I am not sure if I interpreted the statement of the problem (translated into the language of probability distribution) correctly. So let X be the arrival time of the plumber, then $Xsim Unif[1,7]$. Let Y be the time it takes to fix the broken faucet, then $Ysim Exp(2)$. Let Z be the time at which the plumber completes the project, then $Z=X+Y$. Now $E[Z]=E[X+Y]=E[X]+E[Y]=frac{1+7}{2}+frac{1}{2}=4.5$
      $Var(Z) = text{(since X and Y are independent)} Var(X)+Var(Y) = frac{{(7-1)}^2}{12}+frac{1}{2^2}=3.25$



      Are there any mistakes in my solution? Thanks.







      probability proof-verification






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      asked Dec 5 '18 at 2:51









      dxdydzdxdydz

      1949




      1949






















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          Looks good. You have identified the distributions -and their mean and variance- correctly, and used the right equations -including the effect of independance-. If the calculations are okay, then you have it.






          share|cite|improve this answer





















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            Looks good. You have identified the distributions -and their mean and variance- correctly, and used the right equations -including the effect of independance-. If the calculations are okay, then you have it.






            share|cite|improve this answer


























              0














              Looks good. You have identified the distributions -and their mean and variance- correctly, and used the right equations -including the effect of independance-. If the calculations are okay, then you have it.






              share|cite|improve this answer
























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                0








                0






                Looks good. You have identified the distributions -and their mean and variance- correctly, and used the right equations -including the effect of independance-. If the calculations are okay, then you have it.






                share|cite|improve this answer












                Looks good. You have identified the distributions -and their mean and variance- correctly, and used the right equations -including the effect of independance-. If the calculations are okay, then you have it.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Dec 5 '18 at 2:59









                Graham KempGraham Kemp

                84.7k43378




                84.7k43378






























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