Poisson distribution (would you please verify?)

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Homework Help Overview

The discussion revolves around problems involving the Poisson distribution, specifically focusing on calculating probabilities related to the number of telephone calls received and the average number of chocolate chips in cookies. The original poster presents two distinct problems related to these topics.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • The original poster attempts to apply the Poisson probability formula to find the likelihood of receiving no calls and three or more calls within a specified time frame. They also explore how to determine the average number of chocolate chips needed for a certain probability of at least one chip.
  • Some participants question the notation used in the calculations and clarify the correct interpretation of the probabilities involved.
  • Others suggest reconsidering the approach to Problem 2, particularly in how to derive the average number of chocolate chips from the given probability.

Discussion Status

Participants are actively engaging with the problems, providing clarifications and corrections to notation. There is a collaborative effort to guide the original poster through the reasoning process without providing direct solutions. Some productive directions have been suggested, particularly regarding the calculations for the chocolate chip problem.

Contextual Notes

There are indications of confusion regarding the application of the Poisson distribution formulas, particularly in the handling of negative signs and the interpretation of probabilities. The original poster also expresses uncertainty about the steps needed to solve the problems, highlighting the learning process involved.

elmarsur
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Homework Statement



1. Suppose that the number of telephone calls an operator receives from 9:00 to 9:05 A.M. follows a Poisson distribution with mean 3. Find the probability that the operator will receive:
a. no calls in that interval tomorrow.
b. three or more calls in that interval the day after tomorrow.


2. Find the number of chocolate chips a cookie should contain
on the average if it is desired that the probability of a cookie
containing at least one chocolate chip be .99.




Thank you very much for any help!


Homework Equations





The Attempt at a Solution


Problem (1):
Noting probability of Poisson distribution with p, the number of calls with x, and the mean with m, we have
a) p=[(m^x)*(e^-m)]/x! = e^-m = e^-3
b) x=3 => p=1-p(x=2) = 1- [(m^2)*(e^-m)]/2! = 1- [(3^2)*(e^-3)]/2

Problem (2):
Preserving the notation above, p=.99 , x=1 =>
.99 = [(m^x)*(e^-m)]/x! = m*(e^-m)
If so, do I take ln of both sides to find m?


Thank you very much for any help!
 
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1a looks fine, but your notation could use some work. Using m = 3, P(X = 0) = m0e-m/0! = e-3
For 1b, it asks for the probability that X is >= 3, not just P(X = 3). P(X >= 3) = 1 - [P(X = 0) + P(X = 1) + P(X = 2)]
 
Last edited:
Thank you very much, Mark!
Would you please extend your help?
1. I don't understand how I would arrive at e^3 instead of e^-3
2. Would you have any suggestions for Problem 2 (the cookie)?

Thank you to anyone who would help!
 
It is e^(-3). I didn't carry the minus sign through from the previous step. (It's fixed, now.)
elmarsur said:
Find the number of chocolate chips a cookie should contain
on the average if it is desired that the probability of a cookie
containing at least one chocolate chip be .99.
P(X >= 1) = .99, so P(X = 0) = 1 - P(X >= 1) = 1 - .99 = .01
But P(X = 0) = .01
==> m0e-m/0! = .01
Can you solve this for m?
 
Thanks Mark!
Before I saw your reply, this is what I did:

p = .99 + p(x=0) = .99 + [(m^0)*(e^-m)]/0! = .99 + e^-m = 1 (1 is total probability = certainty)

If so, then m = -ln(0.01)

How wrong am I?
 
You're not wrong - that's correct. According to this problem, a cookie should have between 4 and 5 chocolate chips.
 
Thank you very much, Mark, for all your help!
 
Problems resolved.
 
I hope you take heed of the guidance I was providing on writing notation so that it makes sense.
 
  • #10
Thank you again, Mark!
Good thing you refreshed the point; I had almost forgotten.
Of course, I see that it wouldn't make sense without specifying the P(x=0) how I arrive at the end form.

I hope you are around if I need help with other things in the future.

Thanks again, and best to you.
 
  • #11
You're welcome. I'm around here quite a bit, and when I'm not, there are lots of other very capable people who enjoy helping out.
Mark
 

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