# Question: Find 2 and s2 for the random variable X

Find µ, µ'2, and s2 for the random variable X that has the probability distribution f(x) = 12 for x = –2 and x = 2.

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Find µ, µ'2, and σ2 for the random variable X that has the probability density If the probability density of X is given by Check whether its mean and its variance exist. If we let kσ = c in Chebyshev’s theorem, what does this theorem assert about the probability that a random variable will take on a value between µ – c and µ+ c? If X and Y have the joint probability distribution f(x, y) = 14 for x = - 3 and y = - 5, x = –1 and y = –1, x = 1 and y = 1, and x = 3 and y = 5, find cov( X, Y). With reference to Exercise 3.69 on page 100, find the conditional mean and the conditional variance of X given Y = –1.Post your question