Independent solution

How to solve this Poisson Distribution question

Setup

Setup

Let S be the count over the entire observation period. Independent Poisson counts add to another Poisson count.

S=i=11600Xi,SPoisson(16004)S=\sum_{i=1}^{1600}X_i,\qquad S\sim\operatorname{Poisson}(1600\cdot4)
E[S]=Var(S)=6400E[S]=\operatorname{Var}(S)=6400

Model

Model

At this large mean, use the normal model specified by the approximation and the aggregate standard deviation.

S ˙ N(6400,802),SD(S)=6400=80S\ \dot\sim\ N(6400,80^2),\qquad \operatorname{SD}(S)=\sqrt{6400}=80

Compute

Compute

Following the official approximation convention, standardize the integer boundary without a continuity correction.

z=6496640080=1.2z=\frac{6496-6400}{80}=1.2
Pr(S6496)1Φ(1.2)=0.1150696702\Pr(S\ge6496)\approx1-\Phi(1.2)=0.1150696702

Answer

Answer

The approximate upper-tail probability rounds to 0.12.

0.12(B)\boxed{0.12\quad\text{(B)}}