Poisson distribution probability problem

AI Thread Summary
The discussion centers on calculating the probability of errors using the Poisson distribution. The initial calculation incorrectly focused on the probability of exactly 5 students having no errors, while the question required finding the probability that fewer than half of the 12 students have errors. Participants clarify that the correct approach involves evaluating the cumulative probability from 7 to 12 students. One participant eventually arrives at the correct answer by using a calculator to find the probability of 6 or fewer students having no errors and subtracting from 1. The conversation emphasizes the importance of understanding the problem's requirements for accurate calculations.
Seneka
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Homework Statement
The number of mistakes a teacher makes while marking homework has a poisson distribution with mean of 1.6 errors per piece of homework. Find the probability that in a class of 12 pupils fewer than half of them have errors in their marking.
Relevant Equations
P(X=r)= (e to the power - lambda)(lamba to the power r) all divided by r factorials
where lamba is the average rate of the event.
the expected and variance are both equal to the average rate of the event.
Mentor edit: ##P(X = r) = e^{-\lambda}\frac{\lambda^r}{r!}##
LaTeX script: # #P(X = r) = e^{-\lambda}\frac{\lambda^r}{r!}# #
So I thought you would find the probability of having 0 errors when the mean rate is 1.6. Square that by 5 and multiply that by one minus the probability of having 0 errors to the power of 7. So that is basically the probability of having 0 errors to the power of 5 multiplied by the probability of having one or more errors to the power of 7 for the 7 students that do get errors in their marking. This gave me 6.919...x10 to the power -5 which is not the answer.
The answer is 0.00413.
 
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First, you are calculating the probability that exactly 5 have no errors. The question asks for the probability that fewer than half have errors, that is the total probability that the number with no errors is from 7 to 12.
Second, your calculation is wrong.
 
Sorry, some problem posting reply. Your calculation for 5 with no errors is wrong - which 5? You need to multiply by the number of combinations of 5 from 12.
 
mjc123 said:
Sorry, some problem posting reply. Your calculation for 5 with no errors is wrong - which 5? You need to multiply by the number of combinations of 5 from 12.

Are you suggesting doing a cumulative binomial distribution up to 5 where the probability of no error is e to the power -1.6?
 
No - from 7 to 12. Read the question - fewer than half have errors. I mentioned 5 because that was the calculation you did, but you need 7 to 12.
 
mjc123 said:
No - from 7 to 12. Read the question - fewer than half have errors. I mentioned 5 because that was the calculation you did, but you need 7 to 12.
Yeah I realized but now I am getting 2.03..x10 to the power -34
My calculation as 12choose7(e to the power -1.6) to the power 7 multiplied by (1-(e to the power -1.6)) to the power of 5 and carried this pattern until I came to 12...is this wrong?
 
Seneka said:
Yeah I realized but now I am getting 2.03..x10 to the power -34
My calculation as 12choose7(e to the power -1.6) to the power 7 multiplied by (1-(e to the power -1.6)) to the power of 5 and carried this pattern until I came to 12...is this wrong?
I think it was an error. I got the right answer when I used my calculator to find the probability of less than and equal to 6 no errors and then subtracting from 1.
 
mjc123 said:
No - from 7 to 12. Read the question - fewer than half have errors. I mentioned 5 because that was the calculation you did, but you need 7 to 12.
Thanks
 
That is how you should do it, but I don't know what you're getting wrong. I get 0.0035 just for n = 7.
 
  • #10
mjc123 said:
That is how you should do it, but I don't know what you're getting wrong. I get 0.0035 just for n = 7.
Dw I got it, thanks!
 
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