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>9111010)\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)}}