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.
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.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2975114f-cd93-43db-b4ba-800d76908df9%2F0146e423-754e-4fa5-9492-33bd78cd3dd1%2Fjyqk5lg_processed.png&w=3840&q=75)
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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