Break a Stick Example: Random Variables

Click For Summary
The discussion focuses on confirming answers related to random variables, specifically regarding the integration limits in a given problem. Feedback indicates that the initial setup of the integral is incorrect and emphasizes the importance of calculating the cumulative probability function before deriving the probability density function (PDF). It suggests that the formula for the cumulative probability function requires a double integral over specific ranges. Additionally, it recommends visualizing the integration region on an x-u plane to better understand the problem's structure. Properly addressing these steps is crucial for accurately solving the random variables question.
ashah99
Messages
55
Reaction score
2
Homework Statement
Provided below in the comments
Relevant Equations
f(x,y) = f(y|x)f(x)
Law of iterated expectation: E[ Y ] = E( E(Y|X) )
Hello, I would like to confirm my answers to the following random variables question. Would anyone be willing to provide feedback and see if I'm on the right track? Thank you in advance.

1663188804733.png

My attempt:

1663189296923.png
 
Physics news on Phys.org
You have not explained your choice of integration limits in (a), and I think the set-up of the integral is wrong.
One usually approaches problems like this by calculating a formula for the cumulative probability function ##F_Y(y) = Prob(Y\leq y)##, and then calculating the PDF as ##f_Y(y) = \frac d{dy} f_Y(y)##. Only in very simple cases can you skip these steps and go directly to the PDF.
The formula for ##F_Y(y)## will be a double integral over ##x\in(0,1)## and ##u\in[0,\min(x,y)]##. To start, draw a diagram of the integration region on an x-u plane. You will see that the region has a trapezium shape, so you will need to break the inner integral into two parts.
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 1 ·
Replies
1
Views
1K
Replies
2
Views
2K
Replies
1
Views
1K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 30 ·
2
Replies
30
Views
4K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K