Statistics PDF and change of variable

Click For Summary

Homework Help Overview

The discussion revolves around finding the probability density function of a transformed random variable Y1 = 2X - 1, where the original variable X has a specified probability density function. Participants express uncertainty about how to approach the problem and seek guidance on relevant formulas or methods.

Discussion Character

  • Exploratory, Conceptual clarification, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the need to find the cumulative distribution function of Y and relate it to the distribution of X. There are questions about how to express P(X ≤ ?) in terms of Y and the implications of the density function.

Discussion Status

Some participants have suggested starting with the cumulative distribution function and exploring the relationship between the densities of X and Y. There is ongoing clarification regarding the correct formulation of expressions and the necessary steps to take, but no consensus has been reached yet.

Contextual Notes

Participants note confusion about the transformation process and the application of formulas related to random variables. There is a reference to external resources for further understanding, indicating a reliance on existing knowledge and materials.

Larrytsai
Messages
222
Reaction score
0
If the probability density of X is given by

f(x) =

{2(1 − x) for 0 ≤ x ≤ 1
{0 otherwise


(a) Find the probability density function of Y1 = 2X − 1.

I do not know how to start this problem can someone please help.
Is there a formula that I am missing from my notes to solve this problem?
 
Physics news on Phys.org
Start by finding the cumulative distribution function of Y:

P(Y ≤ y) = P(2X-1 ≤ y) = P(X ≤ ?)

Figure that out for various y and use the fact that the density function is the derivative of the distribution function.
 
To add to what LC said:

If you know the distribution/density of a variable X, what can you say about

the density/distribution of f(X)?
 
LCKurtz:

so P(X≤ (Y+1/2))

Bacle:

that means we can say f(X) gives us the probability of X?
 
LCKurtz said:
Start by finding the cumulative distribution function of Y:

P(Y ≤ y) = P(2X-1 ≤ y) = P(X ≤ ?)

Figure that out for various y and use the fact that the density function is the derivative of the distribution function.

Larrytsai said:
LCKurtz:

so P(X≤ (Y+1/2))

That isn't correct as you have written it. You need proper parentheses and, to be pedantic about it, a lower case y. Then use the density of X to calculate the probability.
 
can anyone explain the steps towards the solution? I'm really confused here too,thank you
 

Similar threads

Replies
8
Views
1K
Replies
9
Views
3K
  • · Replies 5 ·
Replies
5
Views
2K
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
Replies
7
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 8 ·
Replies
8
Views
1K
  • · Replies 7 ·
Replies
7
Views
2K