Poisson Process conditional probability











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I have the problem



"Suppose that the number of calls arriving to a telesales call centre follows
a Poisson process with intensity λ = 6 calls per hour. Each caller makes a
purchase with probability 0.4.

Suppose now that 5 calls arrived in the first hour. What is the probability
that 3 of them made a purchase?"


I have set $X_t =$ number of calls by time $ t $ and $Y_t =$ number of purchases made by time $ t $



So I have $Y_t sim Po(0.4(6)t)$ and I found that arrival time is exponentially distributed and from that i have the expected arrival $mu = frac{1}{2.4}=0.4167$



I then found $$P(Y_1=3)= 0.20914 $$



Im not really sure how to use all this information to get the answer I want, I assume the answer is $$P(Y_1=3|X_1=5)$$ but not sure what to do










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  • In your last expression $t$ should be replaced by $1$.
    – drhab
    Nov 22 at 12:01















up vote
0
down vote

favorite












I have the problem



"Suppose that the number of calls arriving to a telesales call centre follows
a Poisson process with intensity λ = 6 calls per hour. Each caller makes a
purchase with probability 0.4.

Suppose now that 5 calls arrived in the first hour. What is the probability
that 3 of them made a purchase?"


I have set $X_t =$ number of calls by time $ t $ and $Y_t =$ number of purchases made by time $ t $



So I have $Y_t sim Po(0.4(6)t)$ and I found that arrival time is exponentially distributed and from that i have the expected arrival $mu = frac{1}{2.4}=0.4167$



I then found $$P(Y_1=3)= 0.20914 $$



Im not really sure how to use all this information to get the answer I want, I assume the answer is $$P(Y_1=3|X_1=5)$$ but not sure what to do










share|cite|improve this question
























  • In your last expression $t$ should be replaced by $1$.
    – drhab
    Nov 22 at 12:01













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I have the problem



"Suppose that the number of calls arriving to a telesales call centre follows
a Poisson process with intensity λ = 6 calls per hour. Each caller makes a
purchase with probability 0.4.

Suppose now that 5 calls arrived in the first hour. What is the probability
that 3 of them made a purchase?"


I have set $X_t =$ number of calls by time $ t $ and $Y_t =$ number of purchases made by time $ t $



So I have $Y_t sim Po(0.4(6)t)$ and I found that arrival time is exponentially distributed and from that i have the expected arrival $mu = frac{1}{2.4}=0.4167$



I then found $$P(Y_1=3)= 0.20914 $$



Im not really sure how to use all this information to get the answer I want, I assume the answer is $$P(Y_1=3|X_1=5)$$ but not sure what to do










share|cite|improve this question















I have the problem



"Suppose that the number of calls arriving to a telesales call centre follows
a Poisson process with intensity λ = 6 calls per hour. Each caller makes a
purchase with probability 0.4.

Suppose now that 5 calls arrived in the first hour. What is the probability
that 3 of them made a purchase?"


I have set $X_t =$ number of calls by time $ t $ and $Y_t =$ number of purchases made by time $ t $



So I have $Y_t sim Po(0.4(6)t)$ and I found that arrival time is exponentially distributed and from that i have the expected arrival $mu = frac{1}{2.4}=0.4167$



I then found $$P(Y_1=3)= 0.20914 $$



Im not really sure how to use all this information to get the answer I want, I assume the answer is $$P(Y_1=3|X_1=5)$$ but not sure what to do







probability stochastic-processes poisson-process






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edited Nov 23 at 12:37

























asked Nov 22 at 11:35









Rito Lowe

465




465












  • In your last expression $t$ should be replaced by $1$.
    – drhab
    Nov 22 at 12:01


















  • In your last expression $t$ should be replaced by $1$.
    – drhab
    Nov 22 at 12:01
















In your last expression $t$ should be replaced by $1$.
– drhab
Nov 22 at 12:01




In your last expression $t$ should be replaced by $1$.
– drhab
Nov 22 at 12:01










1 Answer
1






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up vote
2
down vote



accepted










Since you already know that $5$ people called you no longer need to use the Poisson distribution. Try answer this question: "$5$ calls arrived in the first hour. Giver that each caller has a $0.4$ probability to make a purchase, what is the probability that $3$ of them made a purchase." If you are still unable to do it I am happy to provide a full solution.






share|cite|improve this answer





















  • ok so I would use cumulative binomial probabilities? $ P(Y=3) = ({5choose3})(0.4)^{3}(0.6)^{2}$ is this correct
    – Rito Lowe
    Nov 26 at 18:42












  • Yes. Do you understand why it is ${5choose3}(0.4)^3(0.6)^2$?
    – 3684
    Nov 27 at 12:19












  • yes, because ${5choose3}$ is the number of different ways in which 3 purchases can occur within the 5 calls
    – Rito Lowe
    Nov 28 at 16:07












  • That's correct.
    – 3684
    Nov 28 at 23:17











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1 Answer
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active

oldest

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1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
2
down vote



accepted










Since you already know that $5$ people called you no longer need to use the Poisson distribution. Try answer this question: "$5$ calls arrived in the first hour. Giver that each caller has a $0.4$ probability to make a purchase, what is the probability that $3$ of them made a purchase." If you are still unable to do it I am happy to provide a full solution.






share|cite|improve this answer





















  • ok so I would use cumulative binomial probabilities? $ P(Y=3) = ({5choose3})(0.4)^{3}(0.6)^{2}$ is this correct
    – Rito Lowe
    Nov 26 at 18:42












  • Yes. Do you understand why it is ${5choose3}(0.4)^3(0.6)^2$?
    – 3684
    Nov 27 at 12:19












  • yes, because ${5choose3}$ is the number of different ways in which 3 purchases can occur within the 5 calls
    – Rito Lowe
    Nov 28 at 16:07












  • That's correct.
    – 3684
    Nov 28 at 23:17















up vote
2
down vote



accepted










Since you already know that $5$ people called you no longer need to use the Poisson distribution. Try answer this question: "$5$ calls arrived in the first hour. Giver that each caller has a $0.4$ probability to make a purchase, what is the probability that $3$ of them made a purchase." If you are still unable to do it I am happy to provide a full solution.






share|cite|improve this answer





















  • ok so I would use cumulative binomial probabilities? $ P(Y=3) = ({5choose3})(0.4)^{3}(0.6)^{2}$ is this correct
    – Rito Lowe
    Nov 26 at 18:42












  • Yes. Do you understand why it is ${5choose3}(0.4)^3(0.6)^2$?
    – 3684
    Nov 27 at 12:19












  • yes, because ${5choose3}$ is the number of different ways in which 3 purchases can occur within the 5 calls
    – Rito Lowe
    Nov 28 at 16:07












  • That's correct.
    – 3684
    Nov 28 at 23:17













up vote
2
down vote



accepted







up vote
2
down vote



accepted






Since you already know that $5$ people called you no longer need to use the Poisson distribution. Try answer this question: "$5$ calls arrived in the first hour. Giver that each caller has a $0.4$ probability to make a purchase, what is the probability that $3$ of them made a purchase." If you are still unable to do it I am happy to provide a full solution.






share|cite|improve this answer












Since you already know that $5$ people called you no longer need to use the Poisson distribution. Try answer this question: "$5$ calls arrived in the first hour. Giver that each caller has a $0.4$ probability to make a purchase, what is the probability that $3$ of them made a purchase." If you are still unable to do it I am happy to provide a full solution.







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Nov 22 at 11:53









3684

1277




1277












  • ok so I would use cumulative binomial probabilities? $ P(Y=3) = ({5choose3})(0.4)^{3}(0.6)^{2}$ is this correct
    – Rito Lowe
    Nov 26 at 18:42












  • Yes. Do you understand why it is ${5choose3}(0.4)^3(0.6)^2$?
    – 3684
    Nov 27 at 12:19












  • yes, because ${5choose3}$ is the number of different ways in which 3 purchases can occur within the 5 calls
    – Rito Lowe
    Nov 28 at 16:07












  • That's correct.
    – 3684
    Nov 28 at 23:17


















  • ok so I would use cumulative binomial probabilities? $ P(Y=3) = ({5choose3})(0.4)^{3}(0.6)^{2}$ is this correct
    – Rito Lowe
    Nov 26 at 18:42












  • Yes. Do you understand why it is ${5choose3}(0.4)^3(0.6)^2$?
    – 3684
    Nov 27 at 12:19












  • yes, because ${5choose3}$ is the number of different ways in which 3 purchases can occur within the 5 calls
    – Rito Lowe
    Nov 28 at 16:07












  • That's correct.
    – 3684
    Nov 28 at 23:17
















ok so I would use cumulative binomial probabilities? $ P(Y=3) = ({5choose3})(0.4)^{3}(0.6)^{2}$ is this correct
– Rito Lowe
Nov 26 at 18:42






ok so I would use cumulative binomial probabilities? $ P(Y=3) = ({5choose3})(0.4)^{3}(0.6)^{2}$ is this correct
– Rito Lowe
Nov 26 at 18:42














Yes. Do you understand why it is ${5choose3}(0.4)^3(0.6)^2$?
– 3684
Nov 27 at 12:19






Yes. Do you understand why it is ${5choose3}(0.4)^3(0.6)^2$?
– 3684
Nov 27 at 12:19














yes, because ${5choose3}$ is the number of different ways in which 3 purchases can occur within the 5 calls
– Rito Lowe
Nov 28 at 16:07






yes, because ${5choose3}$ is the number of different ways in which 3 purchases can occur within the 5 calls
– Rito Lowe
Nov 28 at 16:07














That's correct.
– 3684
Nov 28 at 23:17




That's correct.
– 3684
Nov 28 at 23:17


















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