Suppose and are random variables. takes values and ; takes integer values 1 to 6. The joint distribution has row and row across . It is known that and . The value '' in the table equals
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Suppose and are random variables. takes values and ; takes integer values 1 to 6. The joint distribution has row and row across . It is known that and . The value '' in the table equals
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Suppose X and Y are random variables. X takes values -1 and 1; Y takes integer values 1 to 6. The joint distribution has P(X=-1) row [0.1, a, 0.3, 0, 0, 0] and P(X=1) row [0, 0, b, 0.1, 0.1, 0.1] across Y=1,…,6. It is known that E(X)=-0.2 and E(Y)=3.2. The value ' a ' in the table equals (A) 0 (B) 0.1 (C) 0.2 (D) 0.3
Also written as: Suppose X and Y are random variables. X takes values -1 and 1; Y takes integer values 1 to 6. The joint distribution has P(X=-1) row [0.1, a, 0.3, 0, 0, 0] and P(X=1) row [0, 0, b, 0.1, 0.1, 0.1] across Y=1,...,6. It is known that E(X)=-0.2 and E(Y)=3.2. The value ' a ' in the table equals
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This question is on Joint, marginal and conditional distributions, part of Joint distributions, covariance and correlation in Statistics.
How two random variables behave together and separately.
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