Poisson distribution-solve for x

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SUMMARY

The discussion focuses on solving for the number of successes (x) in a Poisson distribution given a mean (λ) of 1 and a required probability of 0.01. The equation used is Pr(X=x)=eλx/x!. Participants suggest evaluating integer values of x to approximate the solution, noting that for λ=1, the solution yields x=4.278021 using Maple, which interprets x! via the Gamma function. The probabilities at x=4 and x=5 are calculated as 0.0153283 and 0.0030657, respectively.

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Homework Statement


How to find for a Poisson distribution the number of successes for a given probability and mean. For example, for mean, \lambda, of 1, and a required probability of 0.01, what would the number of successes in the time interval be?

Homework Equations


Pr(X=x)=\frac{e^{-\lambda}\lambda^{x}}{x!}

The Attempt at a Solution


Not sure how to rearrange to solve for x. Or is there a different approach?
 
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fysiikka111 said:

Homework Statement


How to find for a Poisson distribution the number of successes for a given probability and mean. For example, for mean, \lambda, of 1, and a required probability of 0.01, what would the number of successes in the time interval be?


Homework Equations


Pr(X=x)=\frac{e^{-\lambda}\lambda^{x}}{x!}

The Attempt at a Solution


Not sure how to rearrange to solve for x. Or is there a different approach?

Solve the equation .01 = e-11x/x! for x.

I would just pick values of x and see if the expression on the right equals .01.
 
Thanks. How would you get rid of the factorial?
 
You replace it with its value. For example, if you pick x = 3, 3! = 6.
 
Since x is an integer in the Poisson distribution, there might not be an exact solution. For example, if lambda = 1 and the required probability is p = 0.01, Maple gets x = 4.278021, by interpreting x! in terms of a Gamma function. The actual p-values at x = 4 and x = 5 are 0.0153283 and 0.0030657, respectively.

RGV
 

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