Poisson Random Variable probability problem

AI Thread Summary
The discussion revolves around solving a series of probability problems involving a Poisson random variable with a rate of 1 per hour. Key points include calculating the probability of no arrivals in a 10-hour interval, finding the probability of more than 10 arrivals in 2 hours, and determining the average interarrival time, which is 30 minutes. Participants express confusion about parts d to h and seek clarification on the notation used in those sections. Overall, the conversation emphasizes understanding the Poisson process and its applications in probability calculations.
probhelp150

Homework Statement


X is a Poisson Random Variable with rate of 1 per hour, following the Poisson arrival process
a. Find the probability of no arrivals during a 10 hour interval
b. Find the probability of X > 10 arrivals in 2 hours
c. Find the average interarrival time.
d. For an interval of 2 hours, let A = {10 > X > 6}, B = {5 < X < 9}, then find Pr(6 < X < 11|A, B)
e. Find E(X|A ∩ B) in the previous problem
f. If Y = exp(2X), then find E(Y |A ∪ B).
g. Find E(Y 2 |A ∪ B)
h. Find Var(Y |A ∪ B)

Homework Equations

The Attempt at a Solution


a.
##\lambda = \frac{1}{1 hour}##
##\frac{1}{1 hour} * \frac{10}{10}=\frac{10}{10 hours}##
##\lambda = 10##
##P = \frac{e^{-10}*10^x}{x!}##

b.
##\lambda = 2##
##P = \frac{e^{-2}*2^x}{x!}##
X>10 = 1 - Sum(P(0...10))
##\sum_{n=0}^{10} \frac{e^{-2}*2^x}{x!}= 0.99999##
1-0.99999=0.00001

c.
Average interarrival time = ##\frac{1}{\lambda}=\frac{1}{2}=30 minutes##

Am I doing this right so far?
 
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"a" and "b" look good. For part "a", you need to let x=0, and compute. ## \\ ## "c" I think is just 1/rate=1 hour. ## \\ ## In parts "a" and "b", ## \lambda=rate \times time ##. (The way you computed ## \lambda ## was a little clumsy, but otherwise correct).
 
Charles Link said:
"a" and "b" look good. For part "a", you need to let x=0, and compute. ## \\ ## "c" I think is just 1/rate=1 hour. ## \\ ## In parts "a" and "b", ## \lambda=rate \times time ##. (The way you computed ## \lambda ## was a little clumsy, but otherwise correct).
If part c were referring to part b, would the interarrival time be 30 minutes because ##\lambda=2##?
I'm wondering about #2 because that is a really small number... However, if the average number of arrivals is 1 per hour, the chance 5 arrivals per hour (10 in 2 hours) would be fairly low. Is my method of thinking correct?

Do you have any tips for parts d to h?
 
probhelp150 said:
If part c were referring to part b, would the interarrival time be 30 minutes because ##\lambda=2##?
I'm wondering about #2 because that is a really small number... However, if the average number of arrivals is 1 per hour, the chance 5 arrivals per hour (10 in 2 hours) would be fairly low. Is my method of thinking correct?

Do you have any tips for parts d to h?
I believe part c is referring to any arbitrary measurement period. How far apart are the arrivals?
 
Charles Link said:
I believe part c is referring to any arbitrary measurement period. How far apart are the arrivals?
1 hour apart. I get it now, thanks.
 
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probhelp150 said:
1 hour apart. I get it now, thanks.
I don't understand the notation for part d. I'm not sure exactly what they are asking. Perhaps someone else might be able to help out on that part...
 
Charles Link said:
I don't understand the notation for part d. I'm not sure exactly what they are asking. Perhaps someone else might be able to help out on that part...
Ok, thank you anyways!
 

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