Break a Stick Example: Random Variables

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SUMMARY

The discussion focuses on the correct approach to solving a random variables problem involving the cumulative probability function and probability density function. The participant emphasizes the necessity of calculating the cumulative probability function, defined as ##F_Y(y) = Prob(Y\leq y)##, before deriving the probability density function using the formula ##f_Y(y) = \frac d{dy} F_Y(y)##. They highlight the importance of accurately setting integration limits and suggest visualizing the integration region on an x-u plane to understand the trapezium shape, which requires breaking the inner integral into two parts.

PREREQUISITES
  • Understanding of cumulative probability functions (CPFs)
  • Knowledge of probability density functions (PDFs)
  • Familiarity with double integrals in calculus
  • Ability to visualize integration regions in a coordinate plane
NEXT STEPS
  • Study the derivation of cumulative probability functions in probability theory
  • Learn about the properties and applications of probability density functions
  • Practice solving double integrals with varying limits
  • Explore graphical methods for visualizing integration regions in calculus
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Students and professionals in statistics, mathematicians, and anyone studying probability theory who seeks to deepen their understanding of random variables and integration techniques.

ashah99
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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
 
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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.
 

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