Finding probability related to Poisson and Exponential Distribution

  • #1
songoku
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Homework Statement
Please see below
Relevant Equations
Poisson Distribution

Exponential Distribution
1699953819487.png


My attempt:
(i) ##\lambda =3##

(ii)
(a) ##P(N_{2} \geq 1=1-P(N_{2} =0)=1-e^{-6} \frac{(-6)^0}{0!}=0.997##

(b) ##P(N_{4} \geq 3)=1-P(N_{4} \leq 2)=0.999##

(c) ##P(N_{1} \geq 2) = 1-P(N_{4} \leq 1)=0.8##

Do I even understand the question correctly for part (i) and (ii)?(iii) The expectation of exponential distribution is ##\frac{1}{\lambda}## so the answer is ##\frac{1}{3}##?

Thanks
 
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  • #2
songoku said:
Do I even understand the question correctly for part (i) and (ii)?
Yes, I think so, but there are a couple of errors in notation.
In (a), (-6)0 should be 60.
In (b), N4 should be N1.
Otherwise it looks correct.
For (iii), what are you calculating the expectation of?
 
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  • #3
Here is a simple sanity check of your answer for (ii)(a):
On average, there are three failures per unit time. Your answer for part (ii)(a) is that it is almost certain that there are no failures in two time units. Does that seem right?
 
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  • #4
D'oh! should have seen that!
 
  • #5
FactChecker said:
Here is a simple sanity check of your answer for (ii)(a):
On average, there are three failures per unit time. Your answer for part (ii)(a) is that it is almost certain that there are no failures in two time units. Does that seem right?
Yeah, it does not make sense.

mjc123 said:
there are a couple of errors in notation.

In (b), N4 should be N1.
Sorry I don't understand why it should be N1, maybe I am misunderstanding something again.

N = number of failures
t = time interval

Is that correct?Revised attempt:
(ii)
(a) ##P(N_{2} = 0)=e^{-6}=0.0025##

(b) still the same as post #1

(c) still the same as post #1, with a revision ##N_{4}## should be ##N_{1}##
Oh wait, maybe you mean the error in notation is for (c) instead of (b)? @mjc123

mjc123 said:
For (iii), what are you calculating the expectation of?
Oh my god, the expectation of Sn

$$E(S_{n}-S_{n-1})=\frac{1}{\lambda}$$
$$E(S_{n})-E(S_{n-1})=\frac{1}{\lambda}$$
$$E(S_{n})=\frac{1}{\lambda}+E(S_{n-1})$$

Not even sure this is the correct approach

Thanks
 
  • #6
Oh no, yes I meant c not b. I must have been half asleep that day. Apologies for confusion.
(iii), you're on the right track.
S0 = 0
E(S1 - S0) = 1/λ
E(S1) = 1/λ
E(S2 - S1) = 1/λ
E(S2) = ?
etc.
 
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  • #7
I understand. Thank you very much for the help mjc123 and FactChecker
 

What is the Poisson distribution?

The Poisson distribution is a probability distribution that expresses the likelihood of a given number of events occurring in a fixed interval of time or space.

What is the Exponential distribution?

The Exponential distribution is a probability distribution that describes the time between events in a Poisson process, where events occur continuously and independently at a constant average rate.

How do you find the probability in a Poisson distribution?

To find the probability in a Poisson distribution, you can use the formula P(X = k) = (λ^k * e^(-λ)) / k!, where λ is the average rate of occurrence and k is the number of events.

How do you find the probability in an Exponential distribution?

To find the probability in an Exponential distribution, you can use the formula P(X > t) = e^(-λt), where λ is the average rate of occurrence and t is the time interval.

What are some real-world applications of Poisson and Exponential distributions?

Poisson and Exponential distributions are commonly used in various fields such as telecommunications, finance, and engineering to model events like customer arrivals, machine failures, and waiting times between events.

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