(a) Find fy(x) and fy(y), the marginal probability density functions. (b) Are the two random variables independent? Why or why not? (c) Compute the means and variances of X and Y.

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4.4-1 a and c only

### Exercises

#### 4.4-1. Let \( f(x, y) = (3/16)xy^2 \), \( 0 \leq x \leq 2 \), \( 0 \leq y \leq 2 \), be the joint pdf of \( X \) and \( Y \).

(a) Find \( f_X(x) \) and \( f_Y(y) \), the marginal probability density functions.

(b) Are the two random variables independent? Why or why not?

(c) Compute the means and variances of \( X \) and \( Y \).

(d) Find \( P(X \leq Y) \).

#### 4.4-2. Let \( X \) and \( Y \) have the joint pdf \( f(x, y) = x + y \), \( 0 \leq x \leq 1 \), \( 0 \leq y \leq 1 \).

(a) Find the marginal pdfs \( f_X(x) \) and \( f_Y(y) \) and show that \( f_Y(y) \neq f_X(y) \). Then find \( P(X \leq Y) \).

(Note: No graphs or diagrams are present in the provided content.)
Transcribed Image Text:### Exercises #### 4.4-1. Let \( f(x, y) = (3/16)xy^2 \), \( 0 \leq x \leq 2 \), \( 0 \leq y \leq 2 \), be the joint pdf of \( X \) and \( Y \). (a) Find \( f_X(x) \) and \( f_Y(y) \), the marginal probability density functions. (b) Are the two random variables independent? Why or why not? (c) Compute the means and variances of \( X \) and \( Y \). (d) Find \( P(X \leq Y) \). #### 4.4-2. Let \( X \) and \( Y \) have the joint pdf \( f(x, y) = x + y \), \( 0 \leq x \leq 1 \), \( 0 \leq y \leq 1 \). (a) Find the marginal pdfs \( f_X(x) \) and \( f_Y(y) \) and show that \( f_Y(y) \neq f_X(y) \). Then find \( P(X \leq Y) \). (Note: No graphs or diagrams are present in the provided content.)
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