Consider the random variables with X and Y with joint density function given by f(x, y) = {*y + x) when x,y e [0,2] else Draw a picture of the domain where f (x, y) # 0. b. Solve for k so that f (x, y) is a density function. Find the probability that X is less than 1. d. Find P(X > Y) C.

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Please only answer part d. I have asked parts a-c in a separate post

**Joint Density Function of Random Variables X and Y**

Consider the random variables with X and Y with joint density function given by:

\[
f(x,y) = 
\begin{cases} 
k(y + x) & \text{when } x, y \in [0, 2] \\
0 & \text{else}
\end{cases}
\]

**Tasks:**

a. **Draw a Picture of the Domain**: Illustrate the region where \( f(x,y) \neq 0 \).

b. **Solve for k**: Determine the value of \( k \) so that \( f(x,y) \) is a valid density function.

c. **Probability of X < 1**: Calculate the probability that the random variable X is less than 1.

d. **Probability of X > Y**: Compute \( P(X > Y) \).

**Explanation:**

- **Domain Picture**: The domain is the square region on the xy-plane where both x and y range from 0 to 2.

- **Finding k**: Integrate \( f(x,y) \) over the specified domain to ensure the total probability equals 1.

- **Calculating Probabilities**:
  - For \( X < 1 \): Adjust the bounds of integration accordingly.
  - For \( X > Y \): Evaluate the area under the curve where X is greater than Y within the specified region.
Transcribed Image Text:**Joint Density Function of Random Variables X and Y** Consider the random variables with X and Y with joint density function given by: \[ f(x,y) = \begin{cases} k(y + x) & \text{when } x, y \in [0, 2] \\ 0 & \text{else} \end{cases} \] **Tasks:** a. **Draw a Picture of the Domain**: Illustrate the region where \( f(x,y) \neq 0 \). b. **Solve for k**: Determine the value of \( k \) so that \( f(x,y) \) is a valid density function. c. **Probability of X < 1**: Calculate the probability that the random variable X is less than 1. d. **Probability of X > Y**: Compute \( P(X > Y) \). **Explanation:** - **Domain Picture**: The domain is the square region on the xy-plane where both x and y range from 0 to 2. - **Finding k**: Integrate \( f(x,y) \) over the specified domain to ensure the total probability equals 1. - **Calculating Probabilities**: - For \( X < 1 \): Adjust the bounds of integration accordingly. - For \( X > Y \): Evaluate the area under the curve where X is greater than Y within the specified region.
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