Exponential distribution of 2 independent events (expected value)












-1












$begingroup$


X and Y are waiting time between phone calls for company A and B respectively and they are independent from each other. X and Y are exponentially distributed with expected waiting time of 10 min and 8 min respectively. What is the probability that the next phone call from either X or Y is within 5 min? What is the expected waiting time until the next phone call from either one of them?



I am not really sure what probability I am asked to look for. I'm guessing its P((X<5)U(Y<5)). For the expected waiting time I have no idea how to find it. Is it just E(X)+E(Y)?










share|cite|improve this question









$endgroup$












  • $begingroup$
    Sorry but why do you think E(X)+E(Y) is even related to the question you are asked to solve?
    $endgroup$
    – Did
    Dec 8 '18 at 16:20












  • $begingroup$
    How else could I find the expected waiting time of both events happening? I think the union of the two events is not exponentially distributed right?
    $endgroup$
    – Jun
    Dec 8 '18 at 16:26










  • $begingroup$
    So... you have no idea about what the question is asking hence you answer... E(X)+E(Y)? Did I get you right?
    $endgroup$
    – Did
    Dec 8 '18 at 16:29










  • $begingroup$
    I think I understood the question but I got no clue how to find it. Yeah, E(X)+E(Y) was just a random stupid guess I came up with.
    $endgroup$
    – Jun
    Dec 8 '18 at 16:31
















-1












$begingroup$


X and Y are waiting time between phone calls for company A and B respectively and they are independent from each other. X and Y are exponentially distributed with expected waiting time of 10 min and 8 min respectively. What is the probability that the next phone call from either X or Y is within 5 min? What is the expected waiting time until the next phone call from either one of them?



I am not really sure what probability I am asked to look for. I'm guessing its P((X<5)U(Y<5)). For the expected waiting time I have no idea how to find it. Is it just E(X)+E(Y)?










share|cite|improve this question









$endgroup$












  • $begingroup$
    Sorry but why do you think E(X)+E(Y) is even related to the question you are asked to solve?
    $endgroup$
    – Did
    Dec 8 '18 at 16:20












  • $begingroup$
    How else could I find the expected waiting time of both events happening? I think the union of the two events is not exponentially distributed right?
    $endgroup$
    – Jun
    Dec 8 '18 at 16:26










  • $begingroup$
    So... you have no idea about what the question is asking hence you answer... E(X)+E(Y)? Did I get you right?
    $endgroup$
    – Did
    Dec 8 '18 at 16:29










  • $begingroup$
    I think I understood the question but I got no clue how to find it. Yeah, E(X)+E(Y) was just a random stupid guess I came up with.
    $endgroup$
    – Jun
    Dec 8 '18 at 16:31














-1












-1








-1





$begingroup$


X and Y are waiting time between phone calls for company A and B respectively and they are independent from each other. X and Y are exponentially distributed with expected waiting time of 10 min and 8 min respectively. What is the probability that the next phone call from either X or Y is within 5 min? What is the expected waiting time until the next phone call from either one of them?



I am not really sure what probability I am asked to look for. I'm guessing its P((X<5)U(Y<5)). For the expected waiting time I have no idea how to find it. Is it just E(X)+E(Y)?










share|cite|improve this question









$endgroup$




X and Y are waiting time between phone calls for company A and B respectively and they are independent from each other. X and Y are exponentially distributed with expected waiting time of 10 min and 8 min respectively. What is the probability that the next phone call from either X or Y is within 5 min? What is the expected waiting time until the next phone call from either one of them?



I am not really sure what probability I am asked to look for. I'm guessing its P((X<5)U(Y<5)). For the expected waiting time I have no idea how to find it. Is it just E(X)+E(Y)?







probability exponential-distribution expected-value






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share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Dec 8 '18 at 16:16









JunJun

31




31












  • $begingroup$
    Sorry but why do you think E(X)+E(Y) is even related to the question you are asked to solve?
    $endgroup$
    – Did
    Dec 8 '18 at 16:20












  • $begingroup$
    How else could I find the expected waiting time of both events happening? I think the union of the two events is not exponentially distributed right?
    $endgroup$
    – Jun
    Dec 8 '18 at 16:26










  • $begingroup$
    So... you have no idea about what the question is asking hence you answer... E(X)+E(Y)? Did I get you right?
    $endgroup$
    – Did
    Dec 8 '18 at 16:29










  • $begingroup$
    I think I understood the question but I got no clue how to find it. Yeah, E(X)+E(Y) was just a random stupid guess I came up with.
    $endgroup$
    – Jun
    Dec 8 '18 at 16:31


















  • $begingroup$
    Sorry but why do you think E(X)+E(Y) is even related to the question you are asked to solve?
    $endgroup$
    – Did
    Dec 8 '18 at 16:20












  • $begingroup$
    How else could I find the expected waiting time of both events happening? I think the union of the two events is not exponentially distributed right?
    $endgroup$
    – Jun
    Dec 8 '18 at 16:26










  • $begingroup$
    So... you have no idea about what the question is asking hence you answer... E(X)+E(Y)? Did I get you right?
    $endgroup$
    – Did
    Dec 8 '18 at 16:29










  • $begingroup$
    I think I understood the question but I got no clue how to find it. Yeah, E(X)+E(Y) was just a random stupid guess I came up with.
    $endgroup$
    – Jun
    Dec 8 '18 at 16:31
















$begingroup$
Sorry but why do you think E(X)+E(Y) is even related to the question you are asked to solve?
$endgroup$
– Did
Dec 8 '18 at 16:20






$begingroup$
Sorry but why do you think E(X)+E(Y) is even related to the question you are asked to solve?
$endgroup$
– Did
Dec 8 '18 at 16:20














$begingroup$
How else could I find the expected waiting time of both events happening? I think the union of the two events is not exponentially distributed right?
$endgroup$
– Jun
Dec 8 '18 at 16:26




$begingroup$
How else could I find the expected waiting time of both events happening? I think the union of the two events is not exponentially distributed right?
$endgroup$
– Jun
Dec 8 '18 at 16:26












$begingroup$
So... you have no idea about what the question is asking hence you answer... E(X)+E(Y)? Did I get you right?
$endgroup$
– Did
Dec 8 '18 at 16:29




$begingroup$
So... you have no idea about what the question is asking hence you answer... E(X)+E(Y)? Did I get you right?
$endgroup$
– Did
Dec 8 '18 at 16:29












$begingroup$
I think I understood the question but I got no clue how to find it. Yeah, E(X)+E(Y) was just a random stupid guess I came up with.
$endgroup$
– Jun
Dec 8 '18 at 16:31




$begingroup$
I think I understood the question but I got no clue how to find it. Yeah, E(X)+E(Y) was just a random stupid guess I came up with.
$endgroup$
– Jun
Dec 8 '18 at 16:31










2 Answers
2






active

oldest

votes


















0












$begingroup$

The next phone call is the minimum of $X$ and $Y$; write $Z=Xwedge Y$. The intuition behind this should be fairly obvious. Now, the distribution of the minimum of two independent exponentially distributed random variables is again exponential, with rate the sum of rates of the two. To see this, suppose $Xsimmathsf{Exp}(lambda)$ and $Ysimmathsf{Exp}(mu)$, then for any $t>0$ we have
begin{align}
mathbb P(Z>t) &= mathbb P(X>t, Y>t)\
&= mathbb P(X>t)mathbb P(Y>t)\
&= e^{-lambda t}e^{-mu t}\
&= e^{-(lambda+mu)t},
end{align}

so that $Zsimmathsf{Exp}(lambda+mu)$. Plugging in $lambda = frac1{10}$, $mu=frac18$, and $t=5$, we have
$$
mathbb P(Zleqslant 5) = 1 - e^{-left(frac1{10}+frac18 right)cdot5} = 1-e^{-frac98}.
$$

The expected value of $Z$ is simply $$left(frac1{10}+frac18 right)^{-1}=frac{40}9. $$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    But for the next phone call, between X and Y, only one of them needs to be within 5 minutes to fulfill the condition. Shouldn't it be Z= X ∨ Y ?
    $endgroup$
    – Jun
    Dec 9 '18 at 0:49










  • $begingroup$
    Only one of them - which would be the minimum. The maximum would be for both of them.
    $endgroup$
    – Math1000
    Dec 9 '18 at 3:25



















-1












$begingroup$

I think you are searching for the right probability. And yes, in that case you can exploit the linearity of the expected value just as you wrote.
However, @Did is right that the expected value is not related to your problem. Your problem might be solved by simply trying to calculate the stated probability and using $P((X < 5) lor (Y<5)) = P(X<5) + P(Y<5) - P((X<5)land(Y<5))$






share|cite|improve this answer











$endgroup$













  • $begingroup$
    It's just a random crazy guess for the expected value because I couldn't think of other ways to look for expected value of 2 independent events from what I've been taught.
    $endgroup$
    – Jun
    Dec 8 '18 at 16:29











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2 Answers
2






active

oldest

votes








2 Answers
2






active

oldest

votes









active

oldest

votes






active

oldest

votes









0












$begingroup$

The next phone call is the minimum of $X$ and $Y$; write $Z=Xwedge Y$. The intuition behind this should be fairly obvious. Now, the distribution of the minimum of two independent exponentially distributed random variables is again exponential, with rate the sum of rates of the two. To see this, suppose $Xsimmathsf{Exp}(lambda)$ and $Ysimmathsf{Exp}(mu)$, then for any $t>0$ we have
begin{align}
mathbb P(Z>t) &= mathbb P(X>t, Y>t)\
&= mathbb P(X>t)mathbb P(Y>t)\
&= e^{-lambda t}e^{-mu t}\
&= e^{-(lambda+mu)t},
end{align}

so that $Zsimmathsf{Exp}(lambda+mu)$. Plugging in $lambda = frac1{10}$, $mu=frac18$, and $t=5$, we have
$$
mathbb P(Zleqslant 5) = 1 - e^{-left(frac1{10}+frac18 right)cdot5} = 1-e^{-frac98}.
$$

The expected value of $Z$ is simply $$left(frac1{10}+frac18 right)^{-1}=frac{40}9. $$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    But for the next phone call, between X and Y, only one of them needs to be within 5 minutes to fulfill the condition. Shouldn't it be Z= X ∨ Y ?
    $endgroup$
    – Jun
    Dec 9 '18 at 0:49










  • $begingroup$
    Only one of them - which would be the minimum. The maximum would be for both of them.
    $endgroup$
    – Math1000
    Dec 9 '18 at 3:25
















0












$begingroup$

The next phone call is the minimum of $X$ and $Y$; write $Z=Xwedge Y$. The intuition behind this should be fairly obvious. Now, the distribution of the minimum of two independent exponentially distributed random variables is again exponential, with rate the sum of rates of the two. To see this, suppose $Xsimmathsf{Exp}(lambda)$ and $Ysimmathsf{Exp}(mu)$, then for any $t>0$ we have
begin{align}
mathbb P(Z>t) &= mathbb P(X>t, Y>t)\
&= mathbb P(X>t)mathbb P(Y>t)\
&= e^{-lambda t}e^{-mu t}\
&= e^{-(lambda+mu)t},
end{align}

so that $Zsimmathsf{Exp}(lambda+mu)$. Plugging in $lambda = frac1{10}$, $mu=frac18$, and $t=5$, we have
$$
mathbb P(Zleqslant 5) = 1 - e^{-left(frac1{10}+frac18 right)cdot5} = 1-e^{-frac98}.
$$

The expected value of $Z$ is simply $$left(frac1{10}+frac18 right)^{-1}=frac{40}9. $$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    But for the next phone call, between X and Y, only one of them needs to be within 5 minutes to fulfill the condition. Shouldn't it be Z= X ∨ Y ?
    $endgroup$
    – Jun
    Dec 9 '18 at 0:49










  • $begingroup$
    Only one of them - which would be the minimum. The maximum would be for both of them.
    $endgroup$
    – Math1000
    Dec 9 '18 at 3:25














0












0








0





$begingroup$

The next phone call is the minimum of $X$ and $Y$; write $Z=Xwedge Y$. The intuition behind this should be fairly obvious. Now, the distribution of the minimum of two independent exponentially distributed random variables is again exponential, with rate the sum of rates of the two. To see this, suppose $Xsimmathsf{Exp}(lambda)$ and $Ysimmathsf{Exp}(mu)$, then for any $t>0$ we have
begin{align}
mathbb P(Z>t) &= mathbb P(X>t, Y>t)\
&= mathbb P(X>t)mathbb P(Y>t)\
&= e^{-lambda t}e^{-mu t}\
&= e^{-(lambda+mu)t},
end{align}

so that $Zsimmathsf{Exp}(lambda+mu)$. Plugging in $lambda = frac1{10}$, $mu=frac18$, and $t=5$, we have
$$
mathbb P(Zleqslant 5) = 1 - e^{-left(frac1{10}+frac18 right)cdot5} = 1-e^{-frac98}.
$$

The expected value of $Z$ is simply $$left(frac1{10}+frac18 right)^{-1}=frac{40}9. $$






share|cite|improve this answer









$endgroup$



The next phone call is the minimum of $X$ and $Y$; write $Z=Xwedge Y$. The intuition behind this should be fairly obvious. Now, the distribution of the minimum of two independent exponentially distributed random variables is again exponential, with rate the sum of rates of the two. To see this, suppose $Xsimmathsf{Exp}(lambda)$ and $Ysimmathsf{Exp}(mu)$, then for any $t>0$ we have
begin{align}
mathbb P(Z>t) &= mathbb P(X>t, Y>t)\
&= mathbb P(X>t)mathbb P(Y>t)\
&= e^{-lambda t}e^{-mu t}\
&= e^{-(lambda+mu)t},
end{align}

so that $Zsimmathsf{Exp}(lambda+mu)$. Plugging in $lambda = frac1{10}$, $mu=frac18$, and $t=5$, we have
$$
mathbb P(Zleqslant 5) = 1 - e^{-left(frac1{10}+frac18 right)cdot5} = 1-e^{-frac98}.
$$

The expected value of $Z$ is simply $$left(frac1{10}+frac18 right)^{-1}=frac{40}9. $$







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Dec 8 '18 at 22:47









Math1000Math1000

19.3k31745




19.3k31745












  • $begingroup$
    But for the next phone call, between X and Y, only one of them needs to be within 5 minutes to fulfill the condition. Shouldn't it be Z= X ∨ Y ?
    $endgroup$
    – Jun
    Dec 9 '18 at 0:49










  • $begingroup$
    Only one of them - which would be the minimum. The maximum would be for both of them.
    $endgroup$
    – Math1000
    Dec 9 '18 at 3:25


















  • $begingroup$
    But for the next phone call, between X and Y, only one of them needs to be within 5 minutes to fulfill the condition. Shouldn't it be Z= X ∨ Y ?
    $endgroup$
    – Jun
    Dec 9 '18 at 0:49










  • $begingroup$
    Only one of them - which would be the minimum. The maximum would be for both of them.
    $endgroup$
    – Math1000
    Dec 9 '18 at 3:25
















$begingroup$
But for the next phone call, between X and Y, only one of them needs to be within 5 minutes to fulfill the condition. Shouldn't it be Z= X ∨ Y ?
$endgroup$
– Jun
Dec 9 '18 at 0:49




$begingroup$
But for the next phone call, between X and Y, only one of them needs to be within 5 minutes to fulfill the condition. Shouldn't it be Z= X ∨ Y ?
$endgroup$
– Jun
Dec 9 '18 at 0:49












$begingroup$
Only one of them - which would be the minimum. The maximum would be for both of them.
$endgroup$
– Math1000
Dec 9 '18 at 3:25




$begingroup$
Only one of them - which would be the minimum. The maximum would be for both of them.
$endgroup$
– Math1000
Dec 9 '18 at 3:25











-1












$begingroup$

I think you are searching for the right probability. And yes, in that case you can exploit the linearity of the expected value just as you wrote.
However, @Did is right that the expected value is not related to your problem. Your problem might be solved by simply trying to calculate the stated probability and using $P((X < 5) lor (Y<5)) = P(X<5) + P(Y<5) - P((X<5)land(Y<5))$






share|cite|improve this answer











$endgroup$













  • $begingroup$
    It's just a random crazy guess for the expected value because I couldn't think of other ways to look for expected value of 2 independent events from what I've been taught.
    $endgroup$
    – Jun
    Dec 8 '18 at 16:29
















-1












$begingroup$

I think you are searching for the right probability. And yes, in that case you can exploit the linearity of the expected value just as you wrote.
However, @Did is right that the expected value is not related to your problem. Your problem might be solved by simply trying to calculate the stated probability and using $P((X < 5) lor (Y<5)) = P(X<5) + P(Y<5) - P((X<5)land(Y<5))$






share|cite|improve this answer











$endgroup$













  • $begingroup$
    It's just a random crazy guess for the expected value because I couldn't think of other ways to look for expected value of 2 independent events from what I've been taught.
    $endgroup$
    – Jun
    Dec 8 '18 at 16:29














-1












-1








-1





$begingroup$

I think you are searching for the right probability. And yes, in that case you can exploit the linearity of the expected value just as you wrote.
However, @Did is right that the expected value is not related to your problem. Your problem might be solved by simply trying to calculate the stated probability and using $P((X < 5) lor (Y<5)) = P(X<5) + P(Y<5) - P((X<5)land(Y<5))$






share|cite|improve this answer











$endgroup$



I think you are searching for the right probability. And yes, in that case you can exploit the linearity of the expected value just as you wrote.
However, @Did is right that the expected value is not related to your problem. Your problem might be solved by simply trying to calculate the stated probability and using $P((X < 5) lor (Y<5)) = P(X<5) + P(Y<5) - P((X<5)land(Y<5))$







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Dec 8 '18 at 16:25

























answered Dec 8 '18 at 16:19









Thomas LangThomas Lang

1624




1624












  • $begingroup$
    It's just a random crazy guess for the expected value because I couldn't think of other ways to look for expected value of 2 independent events from what I've been taught.
    $endgroup$
    – Jun
    Dec 8 '18 at 16:29


















  • $begingroup$
    It's just a random crazy guess for the expected value because I couldn't think of other ways to look for expected value of 2 independent events from what I've been taught.
    $endgroup$
    – Jun
    Dec 8 '18 at 16:29
















$begingroup$
It's just a random crazy guess for the expected value because I couldn't think of other ways to look for expected value of 2 independent events from what I've been taught.
$endgroup$
– Jun
Dec 8 '18 at 16:29




$begingroup$
It's just a random crazy guess for the expected value because I couldn't think of other ways to look for expected value of 2 independent events from what I've been taught.
$endgroup$
– Jun
Dec 8 '18 at 16:29


















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