Let X ~ N(4, 16)X~N(4,16). How do you find P(X < 6)P(X<6)?

1 Answer
Jan 18, 2017

Use the function Phi(x) and a Normal distribution table

X~N(4,16) => P(X<4)=Phi(0.5)approx.6915

Explanation:

If X is a Normal Random Variable

X~N(mu,sigma^2)

Then its distribution function is the Gaussian Phi function

=> P(X<=x)=F_X(x)=int_RRe^(-((x-mu)/(sigma))^2/2)dx=Phi((x-mu)/sigma)

In this case mu=4 and sigma=4

So,

P(X<=x)=Phi((x-4)/4)

Note:

{X<=x}={X < x}cup{X=x}, and {X < x} nn {X=x}=O/

So,

P(X<=x)=P(X < x)+P(X=x)

and since a normal random variable is continuous P(X=x)=0

Therefore

P(X<=x)=P(X < x) in this case

Because of this we can say

P(X<6)=P(X<=6)=Phi((6-4)/4)=Phi(2/4)=Phi(0.5)

Then we check our normal distribution tables and see that

P(X<6)=Phi(0.5)approx.6915