https://file.aiquickdraw.com/mathbot/file/1725869387486a6wh8p49.jpg

To solve the questions presented in the image, I need a bit more context, particularly about the random variables \( X \) and \( Y \). Specifically, I would need:

1. The probability distribution or joint distribution of \( X \) and \( Y \).
2. Information regarding whether they are discrete or continuous random variables.
   
Could you provide this additional context so I can help you solve the problems?

Here are the questions that are visible in the image:
1. **Find \( V(X) \)** (Variance of \( X \)).
2. **Find \( E(Y) \)** (Expected value of \( Y \)).
3. **Are \( X \) and \( Y \) independent?**
4. **Find \( \text{Cov}(X, Y) \)** (Covariance of \( X \) and \( Y \)).
5. **Find \( E(XY) \)** (Expected value of \( X \times Y \)).
6. **Find \( P(X = Y) \)** (Probability that \( X \) equals \( Y \)).
7. **Find \( P(X > Y) \)** (Probability that \( X \) is greater than \( Y \)).

Once you share the necessary details, I can walk you through the steps to solve each of them. Would you like to clarify or provide more information?

Solve the following problems: 1. Find V(X) (Variance of X), 2. Find E(Y) (Expected value of Y), 3. Are X, Y independent?, 4. Find Cov(X, Y) (Covariance of X and Y), 5. Find E(XY) (Expected value of X times Y), 6. Find P(X = Y) (Probability that X equals Y), 7. Find P(X > Y) (Probability that X is greater than Y).

Solve a series of statistical problems involving random variables X and Y. This problem covers key concepts such as variance, expected value, independence, covariance, and probability. Suitable for undergraduate statistics or probability students.

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