Poisson PDF with non-integer support

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Oxymoron
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Homework Statement


If [tex]X[/tex] is a Poisson random variable with [tex]\lambda = 2[/tex] find the probability that [tex]X>0.5[/tex].


Homework Equations


The Poisson PDF:
[tex]P(x,\lambda) = \frac{\lambda^k}{k!}e^{-\lambda}[/tex]



The Attempt at a Solution


Usually with these sorts of probability problems where they ask you to find the probability that [tex]x[/tex] is larger than some number [tex]n[/tex] I use the CDF of the PDF and write

[tex]P(X_{PDF}>n) = 1-P(X_{PDF}\leq n) = 1-P(X_{CDF}=n)[/tex]

However, I am at a loss with the Poisson distribution because the CDF involves the gamma function. I can do it on Maple where I define

[tex]\mbox{Poi}(\lambda,x) := \sum_{t=0}^x \frac{\lambda^t}{t!}e^{-\lambda}[/tex]

and then calculate

[tex]1-\mbox{evalf}(\mbox{Poi}(2,0.5)) = 0.7385...[/tex]

Also, if I try to use z-scores in a Poisson table the values for x are all integers, am I meant to use interpolation? Or is there an algebraic way of solving this?
 
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Solved.

I used the cumulative distribution function for Poisson:

[tex]F(t,\lambda) = \frac{\Gamma\left(\lfloor k+1 \rfloor,\lambda\right)}{\lfloor k \rfloor!}[/tex]

and used the incomplete gamma function

[tex]\Gamma(k,x) = \int_x^{\infty}t^{k-1}e^t\mbox{d}t[/tex]

and integrated by parts twice (twice because the support is [tex]\lambda = 2[/tex] by the way!) to find an answer. It turns out that non-integers can be put into the gamma function, but it just floors them anyway. Did it on Maple as well as by hand and it works.