Consider the sample space S= {(-2, 4), (-1, 1), (0, 0), (1, 1), (2, 4)}, where each point is assumed to be equally likely. Define the random variable X to be the first component of a sample point and Y, the second. Then, the cov(X,Y) is

Elementary Linear Algebra (MindTap Course List)
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Chapter5: Inner Product Spaces
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Consider the sample space S= {(-2, 4), (-1, 1), (0, 0), (1, 1), (2, 4)},
where each point is assumed to be equally likely. Define the random
variable X to be the first component of a sample point and Y, the second.
Then, the cov(X, Y) is
Transcribed Image Text:Consider the sample space S= {(-2, 4), (-1, 1), (0, 0), (1, 1), (2, 4)}, where each point is assumed to be equally likely. Define the random variable X to be the first component of a sample point and Y, the second. Then, the cov(X, Y) is
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