Poisson distribution has following PDF:
"P(X=k) = \\frac{\\lambda^k}{k!} e^{-\\lambda}"
We can use given value "P(X=0)=0.2" to find the value of "\\lambda".
"P(X=k) = \\frac{1}{1} e^{-\\lambda} = 0.2"
"\\lambda = - \\ln{0.2=1.609}", and, since the coefficient "e^{-\\lambda}" is the same for every X=k, we can use directly "e^{-\\lambda}=0.2".
"P(X>2) = 1 - P(X \\leq 2) = 1 - P(X=0) - P(X=1) - P(X=2)"
"P(X=0)=0.2"
"P(X=1) = \\frac{1.609}{1} 0.2 =0.322"
"P(X=2) = \\frac{1.609^2}{2 \\cdot 1} 0.2=0.259"
So, "P(X>2) = 1 -0.2-0.322-0.259 = 0.219"
Answer: "P(X>2)=0.219"
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