Independent solution

How to solve this Poisson Distribution question

Setup

Setup

Each count has both mean and variance λ. Apply linearity to the weighted total.

E[U]=(100+150+200)λ=450λE[U]=(100+150+200)\lambda=450\lambda

Model

Model

Independence makes the weighted variances add; each coefficient is squared.

Var(U)=(1002+1502+2002)λ\operatorname{Var}(U)=(100^2+150^2+200^2)\lambda
Var(U)=72,500λ\operatorname{Var}(U)=72{,}500\lambda

Compute

Compute

Set standard deviation divided by mean equal to the stated coefficient of variation and solve.

0.90=72,500λ450λ0.90=\frac{\sqrt{72{,}500\lambda}}{450\lambda}
λ=72,5000.902(450)2=0.4420057918\lambda=\frac{72{,}500}{0.90^2(450)^2}=0.4420057918\ldots

Answer

Answer

The common Poisson parameter rounds to 0.44.

0.44(A)\boxed{0.44\quad\text{(A)}}