Independent solution

How to solve this Normal Distribution question

Setup

Setup

Translate the percentage comparison into a linear normal contrast.

{X1.2Y}={W0},W=X1.2Y\{X\ge1.2Y\}=\{W\ge0\},\qquad W=X-1.2Y

Model

Model

Apply linearity to the means and independence to the variance.

E[W]=10b1.2(10b)=2bE[W]=10b-1.2(10b)=-2b
Var(W)=b2+1.22b2=2.44b2\operatorname{Var}(W)=b^2+1.2^2b^2=2.44b^2

Compute

Compute

Standardize the zero threshold; the positive scale parameter cancels.

z=0(2b)2.44b=22.44=1.2803687993z=\frac{0-(-2b)}{\sqrt{2.44}\,b}=\frac2{\sqrt{2.44}}=1.2803687993\ldots
Pr(W0)=1Φ(z)=0.1002077308\Pr(W\ge0)=1-\Phi(z)=0.1002077308\ldots

Answer

Answer

The probability rounds to 0.100.

0.100(B)\boxed{0.100\quad\text{(B)}}