Covariance of Binomial Random Variables

In summary, the problem involves finding the covariance between two binomial random variables, X and Y. To find E(XY), we break it down into smaller parts and use the probabilities of getting a 1 and a 2 in a single roll of a fair die. Substituting these probabilities into the formula, we can find the covariance between X and Y to be (1-2n^2)/36.
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Obraz35
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Homework Statement


Let X be the number of 1's and Y be the number of 2's that occur in n rolls of a fair die. Find Cov(X, Y)


Homework Equations


Cov(X,Y) = E(XY) - E(X)E(Y)


The Attempt at a Solution


Both X and Y are binomial with parameters n and 1/6. Thus it is easy to find E(X) and E(Y), but for some reason finding E(XY) is really tripping me up. How does one go about finding expected values of products of binomial variables?
 
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Hi there! It's great to see that you are tackling this problem and trying to find the covariance between X and Y. Let me help you out with finding E(XY).

First, let's define the random variables X and Y more clearly. X is the number of 1's that occur in n rolls of a fair die, and Y is the number of 2's that occur in n rolls of a fair die.

Now, let's break down the expected value of XY into smaller parts. We know that XY = 1*2 = 2 when X=1 and Y=2, and that XY = 0 for all other combinations of X and Y.

So, we can write E(XY) as:

E(XY) = 2*P(X=1 and Y=2) + 0*P(all other combinations)

Since we are dealing with a fair die, we know that the probability of getting a 1 is 1/6 and the probability of getting a 2 is also 1/6. Therefore, the probability of getting a 1 and a 2 in a single roll is (1/6)*(1/6) = 1/36.

Substituting this into our equation for E(XY), we get:

E(XY) = 2*1/36 + 0*P(all other combinations)

= 1/18

Therefore, we can conclude that E(XY) = 1/18.

Now, using the formula for covariance, we can find the covariance between X and Y:

Cov(X,Y) = E(XY) - E(X)E(Y)

= 1/18 - (n/6)*(n/6)

= 1/18 - n^2/36

= (1-2n^2)/36

I hope this helps in your understanding of finding expected values of products of binomial variables. Let me know if you have any further questions. Good luck with your problem!
 

What is the definition of covariance?

Covariance is a measure of how two random variables change or vary together. It measures the extent to which two variables are linearly related.

How is covariance calculated for binomial random variables?

For binomial random variables, covariance is calculated by multiplying the probability of success for each variable and subtracting the product from the expected value of the product of the two variables.

What does a positive covariance value indicate?

A positive covariance value indicates that when one variable increases, the other variable tends to increase as well. This suggests a positive linear relationship between the two variables.

What does a negative covariance value indicate?

A negative covariance value indicates that when one variable increases, the other variable tends to decrease. This suggests a negative linear relationship between the two variables.

Can covariance be used to determine causation between two variables?

No, covariance only measures the relationship between two variables and does not indicate causation. Other factors must be considered to determine causation between two variables.

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