Cumulative distribution function question

AI Thread Summary
The discussion revolves around calculating the cumulative distribution function (CDF) for a random variable Y derived from rolling a die, where Y equals the square of the die's outcome. The user initially computes the CDF for Y=1 and seeks clarification on whether further integration is necessary. They later shift focus to evaluating probabilities for a standard normal distribution, specifically asking for help in computing P(X<=-5), P(-2<=X<=7), and P(X>=3) in terms of the standard normal distribution function ϕ. The user expresses uncertainty about how to numerically evaluate these probabilities. The thread highlights the transition from discrete to continuous probability distributions and the application of the normal distribution in statistical calculations.
sneaky666
Messages
64
Reaction score
0
consider rolling a die.
S= {1,2,3,4,5,6}
P(s)=1/6 for all s in S
X= number on die so that X(s)=s for all s in S
Y= X^2
compute the cumulative distribution function Fy(y) = P(Y<=y), for all y in the set of real numbers.

My guess
for Y=1 i get
P(-inf<y<=1)=P(Y<=1)-P(Y<-inf)=Fx(1)-Fx(-inf)
= Fx(1)-0
= Fx(1)

Is this all I have to do for Y=1, or do I have to integrate, or is there anything wrong?
 
Physics news on Phys.org
EDIT: ok i figured it out but i need help on this one.

Let X~N(0,1) . Compute each in terms of function ϕ.
And evaluate it numerically.

P(X<=-5)
P(-2<=X<=7)
P(X>=3)

for the first one i get
ϕ(-5)

But how do i evaluate it?
 
I picked up this problem from the Schaum's series book titled "College Mathematics" by Ayres/Schmidt. It is a solved problem in the book. But what surprised me was that the solution to this problem was given in one line without any explanation. I could, therefore, not understand how the given one-line solution was reached. The one-line solution in the book says: The equation is ##x \cos{\omega} +y \sin{\omega} - 5 = 0##, ##\omega## being the parameter. From my side, the only thing I could...

Similar threads

Back
Top