Let X and Y have joint PDF cy fxx(z,y) = { 0 0≤y≤z≤1 0 otherwise a) Draw the region of positive probability, and find constant c. b) Find fx(x) and fy (y). c) Find P[Y ≤X/2].

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**Problem Statement: Joint Probability Density Function of \( X \) and \( Y \)**

Let \( X \) and \( Y \) have a joint PDF:

\[ f_{X,Y}(x,y) = \begin{cases} 
cy & \text{if } 0 \le y \le x \le 1 \\ 
0 & \text{otherwise}
\end{cases} \]

**Questions:**

a) Draw the region of positive probability, and find constant \( c \).

b) Find \( f_X(x) \) and \( f_Y(y) \).

c) Find \( P[Y \le X/2] \).

d) Find \( E[X] \), \( E[Y] \), \(\sigma_X^2\), \(\sigma_Y^2\).
Transcribed Image Text:**Problem Statement: Joint Probability Density Function of \( X \) and \( Y \)** Let \( X \) and \( Y \) have a joint PDF: \[ f_{X,Y}(x,y) = \begin{cases} cy & \text{if } 0 \le y \le x \le 1 \\ 0 & \text{otherwise} \end{cases} \] **Questions:** a) Draw the region of positive probability, and find constant \( c \). b) Find \( f_X(x) \) and \( f_Y(y) \). c) Find \( P[Y \le X/2] \). d) Find \( E[X] \), \( E[Y] \), \(\sigma_X^2\), \(\sigma_Y^2\).
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