Independent solution

How to solve this Central Limit Theorem question

Answer in brief

The aggregate has approximate mean 6250 and standard deviation 200. The threshold is 2.5 standard deviations below the mean, so the upper-tail probability is 0.993790 and choice E.

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=S6250200Z=\frac{S-6250}{200}

Compute

Compute

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

z=57506250200=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)}}