Question #305023

Given that P(X=2)=8P(X=4)+80P(X=46) for a Poisson distribution variate X. Find

1) P(X<2)

2) P(X>4)

3) P(X>=1)


1
Expert's answer
2022-03-03T10:01:46-0500

For Poisson's distribution, P(X=x)P(X=x)  is given by 


P(X=x)=eλλxx!P(X=x)=\dfrac{e^{-\lambda}\cdot\lambda^x}{x!}


It is given that P(X=2)=8P(X=4)+80P(X=6)P(X=2)=8P(X=4)+80P(X=6)


eλλ22!=8eλλ44!+80eλλ66!\dfrac{e^{-\lambda}\cdot\lambda^2}{2!}=8\cdot\dfrac{e^{-\lambda}\cdot\lambda^4}{4!}+80\cdot\dfrac{e^{-\lambda}\cdot\lambda^6}{6!}

λ22=λ43+λ69\dfrac{\lambda^2}{2}=\dfrac{\lambda^4}{3}+\dfrac{\lambda^6}{9}

Since λ>0\lambda>0 we obtain


2λ4+6λ29=02\lambda^4+6\lambda^2-9=0

λ2=3+332,λ>0\lambda^2=\dfrac{-3+3\sqrt{3}}{2}, \lambda>0

λ=3+3321.0479\lambda=\sqrt{\dfrac{-3+3\sqrt{3}}{2}}\approx1.0479


1)


P(X<2)=P(X=0)+P(X=1)P(X<2)=P(X=0)+P(X=1)

=e1.0479(1.0479)00!+e1.0479(1.0479)11!=\dfrac{e^{-1.0479}\cdot(1.0479)^0}{0!}+\dfrac{e^{-1.0479}\cdot(1.0479)^1}{1!}

0.71814\approx0.71814

2)


P(X>4)=1P(X=0)P(X=1)P(X>4)=1-P(X=0)-P(X=1)

P(X=2)P(X=3)=-P(X=2)-P(X=3)=

=1e1.0479(1.0479)00!e1.0479(1.0479)11!=1-\dfrac{e^{-1.0479}\cdot(1.0479)^0}{0!}-\dfrac{e^{-1.0479}\cdot(1.0479)^1}{1!}

e1.0479(1.0479)22!e1.0479(1.0479)33!-\dfrac{e^{-1.0479}\cdot(1.0479)^2}{2!}-\dfrac{e^{-1.0479}\cdot(1.0479)^3}{3!}

0.00445\approx0.00445

3)


P(X1)=1P(X=0)P(X\ge1)=1-P(X=0)

=1e1.0479(1.0479)00!0.64933=1-\dfrac{e^{-1.0479}\cdot(1.0479)^0}{0!}\approx0.64933


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