Independent solution

How to solve this Central Limit Theorem question

Setup

Setup

Compute the first two moments of one policy's claim by collecting the positive-value contributions.

E[X]=0.2+0.6=0.8E[X]=0.2+0.6=0.8
E[X2]=0.2+1.2=1.4E[X^2]=0.2+1.2=1.4
Var(X)=1.4(0.8)2=0.76\operatorname{Var}(X)=1.4-(0.8)^2=0.76

Model

Model

The loaded premium is one per policy. Aggregate the independent claim moments over 76 policies.

1.25E[X]=1,Ptotal=761.25E[X]=1,\qquad P_{\mathrm{total}}=76
E[S]=76(0.8)=60.8,Var(S)=76(0.76)=57.76E[S]=76(0.8)=60.8,\qquad \operatorname{Var}(S)=76(0.76)=57.76

Compute

Compute

Apply the central limit approximation and standardize the premium boundary.

SD(S)=57.76=7.6\operatorname{SD}(S)=\sqrt{57.76}=7.6
Pr(S>76)1Φ ⁣(7660.87.6)=1Φ(2)\Pr(S>76)\approx1-\Phi\!\left(\frac{76-60.8}{7.6}\right)=1-\Phi(2)
=0.02275013195=0.02275013195\ldots

Answer

Answer

The approximate probability rounds to 0.02.

0.02(A)\boxed{0.02\quad\text{(A)}}