Independent solution

How to solve this Central Limit Theorem question

Setup

Setup

Let W_i denote the independent change in month i and let T be the value after all 100 months.

Pr⁡(Wi=1.10)=Pr⁡(Wi=−0.90)=12\Pr(W_i=1.10)=\Pr(W_i=-0.90)=\frac12
T=100+∑i=1100WiT=100+\sum_{i=1}^{100}W_i

Model

Model

Compute the moments of one increment and then use independence for the sum.

E⁡[Wi]=0.10,Var⁡(Wi)=1\operatorname{E}[W_i]=0.10,\qquad \operatorname{Var}(W_i)=1
E⁡[T]=110,SD⁡(T)=100=10\operatorname{E}[T]=110,\qquad \operatorname{SD}(T)=\sqrt{100}=10

Compute

Compute

Apply the central limit theorem and standardize the stated ending-value threshold.

Pr⁡(T>91)≈Pr⁡(Z>91−11010)\Pr(T>91)\approx\Pr\left(Z>\frac{91-110}{10}\right)
Pr⁡(T>91)≈Pr⁡(Z>−1.9)=Φ(1.9)=0.9712834\Pr(T>91)\approx\Pr(Z>-1.9)=\Phi(1.9)=0.9712834

Answer

Answer

The normal approximation rounds to 0.97.

0.97(E)\boxed{0.97\quad\text{(E)}}