Independent solution

How to solve this Central Limit Theorem question

Setup

Setup

Let S be the sum of the 625 independent payments. Means add, while variances add for independent observations.

E⁡[S]=625(10)=6250\operatorname{E}[S]=625(10)=6250
Var⁡(S)=625(82)=40000\operatorname{Var}(S)=625(8^2)=40000

Model

Model

Apply the normal approximation to the aggregate, using the square root of the aggregate variance as its standard deviation.

S ∼˙ N(6250,2002)S\ \dot\sim\ N(6250,200^2)
Z=S−6250200Z=\frac{S-6250}{200}

Compute

Compute

Standardize the payment threshold and convert the requested upper tail by symmetry of the standard normal distribution.

z=5750−6250200=−2.5z=\frac{5750-6250}{200}=-2.5
Pr⁡(S>5750)≈Pr⁡(Z>−2.5)=Φ(2.5)=0.9937903347…\Pr(S>5750)\approx\Pr(Z>-2.5)=\Phi(2.5)=0.9937903347\ldots

Answer

Answer

Because the threshold lies far below the aggregate mean, a probability close to one is also the necessary sanity check.

Pr⁡(S>5750)≈0.9938(E)\boxed{\Pr(S>5750)\approx0.9938\quad\text{(E)}}