Simple problem

Printable View

October 16th 2010, 02:18 PM
financial

Simple problem

I'm stuck but here's what I have so far. I'm trying to find the probability that S is bigger than T.

$T \sim N(18,4), S \sim N(20,1)$

$Pr \{S>T \} = Pr \{ \frac{S-20}{1} > \frac{T-20}{1} \}$

$=Pr\{N(0,1)>T-20\}$

$=Pr\{T-20<N(0,1)\}$

$\mbox{Let }X=T-20 \mbox{ then } X \sim N(18-20,4) \sim N(-2,4)$

$\Rightarrow Pr\{T-20<N(0,1)\}$

$=Pr\{X<N(0,1)\}$

$=Pr\{N(-2,4)<N(0,1)\}$

Where do I go from here?
October 16th 2010, 02:26 PM
mr fantastic

Quote:

Originally Posted by financial

I'm stuck but here's what I have so far. I'm trying to find the probability that S is bigger than T.

$T \sim N(18,4), S \sim N(20,1)$

$Pr \{S>T \} = Pr \{ \frac{S-20}{1} > \frac{T-20}{1} \}$

$=Pr\{N(0,1)>T-20\}$

$=Pr\{T-20<N(0,1)\}$

$\mbox{Let }X=T-20 \mbox{ then } X \sim N(18-20,4) \sim N(-2,4)$

$\Rightarrow Pr\{T-20<N(0,1)\}$

$=Pr\{X<N(0,1)\}$

$=Pr\{N(-2,4)<N(0,1)\}$

Where do I go from here?

Are S and T independent? I suppose so. Then you should consider the random variable W = S - T and calculate Pr(W > 0).

Quote:

Originally Posted by Wikipedia at en.wikipedia.org/wiki/Normal_distribution

if X1, X2 are two independent normal random variables, with means μ1, μ2 and standard deviations σ1, σ2, then their linear combination will also be normally distributed:
http://upload.wikimedia.org/math/a/9...17fbfc07bd.png
October 17th 2010, 03:13 PM
financial

Wow, why couldn't I think of that myself?

So now I have:

$\mbox{Let }X=S-T$

$X \sim N(20-18, 1+4) \sim N(2, 5)$

$Pr\{S>T\} = Pr\{W>0\}= Pr\{ \frac{W-2}{\sqrt{5}}>\frac{0-2}{\sqrt{5}} \}$

$=Pr\{N(0,1) > \frac{-2}{\sqrt{5}} \}=\Phi(\frac{-2}{\sqrt{5}})$

Is this correct?
October 17th 2010, 04:47 PM
financial

On a side note, what if they're correlated?

Let's say the covariance between S and T is 1.2. Now, how do I calculate the probability that S is greater than T?
October 17th 2010, 04:56 PM
mr fantastic

Quote:

Originally Posted by financial

On a side note, what if they're correlated?

Let's say the covariance between S and T is 1.2. Now, how do I calculate the probability that S is greater than T?

Then obviously you need to review the difference of two correlated normal distributions: http://www.stanford.edu/~srabbani/bivariate.pdf
October 17th 2010, 05:04 PM
financial

Okay this time I get

[LaTeX ERROR: Convert failed]

And continue the same calculation as previously.
Thank you for your help.