If a random variable has a Poisson’s Distribution such that
P (4) = P (3) Find P (5)
e=2.1783
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PMF of the Poisson distribution, p(x) = Exp(-L)*(L^x)/x!
Given, p(1) = p(2)
So, Exp(-L)*(L^1)/1 = Exp(-L)*(L^2)/2
=>2L = L^2
=> L = 0 or 2
For a Poisson distribution, L > 0 and so L = 2
So, mean of the distribution = 2
P(4) = Exp(-2)*(2^4)/4! = Exp(-2)*16/24 = 0.09
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