Poisson probability distribution

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Homework Help Overview

The discussion revolves around a particle detection problem involving type A and type B particles, modeled as a Poisson process with a specified parameter. Participants are exploring various aspects of the probability distribution, inter-detection times, and conditional probabilities related to the detection of these particles.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the calculation of probabilities for detecting particles, the distribution of inter-detection times, and the implications of conditional probabilities. Some express uncertainty about the requirements of specific parts of the problem, particularly regarding the distribution of inter-detection times.

Discussion Status

Some participants have provided calculations for certain parts of the problem, while others are seeking clarification on the meaning of specific terms and concepts. There is a mix of attempts to derive answers and requests for further guidance, indicating an ongoing exploration of the topic.

Contextual Notes

Participants reference a probability textbook by Sheldon M. Ross and discuss the need for foundational understanding to tackle the problem effectively. There is acknowledgment of the complexity involved in understanding the distribution of inter-arrival times in a Poisson process.

Maybe_Memorie
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Homework Statement



Homework Statement



A particle detector is set up to detect type A particles. These are detected as a poisson process with parameter lamda = 0.5 per day.

(i) What is the probability that 3 or more will be detected in anyone day?

(ii) What is the distribution of inter-detection times for these particles?

(iii) What is the probability that the inter-detection time for two consecutive particles will be less than 3 days?

(iv) The detector also detects type B particles. These occur with rate lamda = 0.5 when no type A are detected, and rate lamda = 1 when 1 or more type A are detected. If on anyone day one or more type B are detected, what is the probability one or more type A are also detected?


The Attempt at a Solution



(i) was easy. I got 0.01439

For (ii) I have absolutely no idea what to do.


For (iv), I used P(at least 1 A | at least 1 B) = (at least 1 A and 1 B)/P(at least 1 B)
I ended up getting 0.2425.
Is this correct?
 
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Maybe_Memorie said:

Homework Statement



Homework Statement



A particle detector is set up to detect type A particles. These are detected as a poisson process with parameter lamda = 0.5 per day.

(i) What is the probability that 3 or more will be detected in anyone day?

(ii) What is the distribution of inter-detection times for these particles?

(iii) What is the probability that the inter-detection time for two consecutive particles will be less than 3 days?

(iv) The detector also detects type B particles. These occur with rate lamda = 0.5 when no type A are detected, and rate lamda = 1 when 1 or more type A are detected. If on anyone day one or more type B are detected, what is the probability one or more type A are also detected?


The Attempt at a Solution



(i) was easy. I got 0.01439

For (ii) I have absolutely no idea what to do.


For (iv), I used P(at least 1 A | at least 1 B) = (at least 1 A and 1 B)/P(at least 1 B)
I ended up getting 0.2425.
Is this correct?

For part (ii): this is standard probability theory. Do you have a probability textbook or lecture notes? I would be surprised if the answer cannot be found therein. However, if that (i.e., a relevant text or notes) does not cover your situation, you can give us more information about your situation. The real problem is that (ii) is easy, but needs some elementary but lengthy preliminary work (or else just needs cookbook quoting with no understanding attached). Of course, once you have (ii), getting (iii) is easy.

RGV
 
Ray Vickson said:
For part (ii): this is standard probability theory. Do you have a probability textbook or lecture notes? I would be surprised if the answer cannot be found therein. However, if that (i.e., a relevant text or notes) does not cover your situation, you can give us more information about your situation. The real problem is that (ii) is easy, but needs some elementary but lengthy preliminary work (or else just needs cookbook quoting with no understanding attached). Of course, once you have (ii), getting (iii) is easy.

RGV

I'm using the book by Sheldon M. Ross

The problem is I don;t know what (ii) is actually asking.
 
Maybe_Memorie said:
I'm using the book by Sheldon M. Ross

The problem is I don;t know what (ii) is actually asking.

It is asking for the distribution of inter-arrival times in a Poisson process.

RGV
 
Ray Vickson said:
It is asking for the distribution of inter-arrival times in a Poisson process.

RGV

I still have no idea how to calculate this.
 
Ross has written several Probability textbooks. You don't say which one you are using, but that matters not at all: they are all excellent and all have everything you need. Here is a hint: read the book.
 
The "inter-detection time" is the time between two consecutive clicks of the counter.
 
It's "Introduction to Probability and Statistics for Engineers and Scientists".

And actually, I have read the book.
 
HallsofIvy said:
The "inter-detection time" is the time between two consecutive clicks of the counter.

I understand this. It's the time between the "n"th particle and the "n+1"th particle.

But I don't know how to find this distribution.
 
  • #10
Maybe_Memorie said:
I understand this. It's the time between the "n"th particle and the "n+1"th particle.

But I don't know how to find this distribution.

Hi Maybe_Memorie! :smile:

I see this thread is still hanging.
Do you have the answer by now?
 
  • #11
I like Serena said:
Hi Maybe_Memorie! :smile:

I see this thread is still hanging.
Do you have the answer by now?

Hi! :smile:

The inter-detection time is given by the exponential distribution with mean 1/lamda, yes?
 
  • #12
Yes! :cool:
 
  • #13
Thanks! :smile:
 
  • #14
Do you have any other hanging threads?
 

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