Final answer:
To find the covariance, use the formula Cov(X, Y) = E(XY) - E(X)E(Y). The correlation cannot be determined without standard deviations.
Step-by-step explanation:
We can find the covariance, Cov(X, Y), using the formula:
Cov(X, Y) = E(XY) - E(X)E(Y)
First, we need to calculate the expected value, E(X), and the expected value, E(Y). Given the probability values, E(X) = 2, E(Y) = 1, and E(XY) = 2*1/3 + 6*1/3 = 4/3.
Substituting the values into the formula, we get Cov(X, Y) = 4/3 - 2*1*1 = 1/3.
To find the correlation, we can use the formula:
p = Cov(X, Y) / (SD(X) * SD(Y))
Since the standard deviations are not provided, we cannot determine the correlation without further information.