Consider the following joint probabilities table for X and Y, where x = 0, 10 and y = 90, 100, 110. X\Y 90 100 0 0.05 0.27 10 0.15 0.33 110 0.18 0.02 Calculate the covariance of X and Y. Cov(X,Y)=
Consider the following joint probabilities table for X and Y, where x = 0, 10 and y = 90, 100, 110. X\Y 90 100 0 0.05 0.27 10 0.15 0.33 110 0.18 0.02 Calculate the covariance of X and Y. Cov(X,Y)=
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![Consider the following joint probabilities table for \(X\) and \(Y\), where \(x = 0, 10\) and \(y = 90, 100, 110\).
\[
\begin{array}{c|ccc}
XY & 90 & 100 & 110 \\
\hline
0 & 0.05 & 0.27 & 0.18 \\
10 & 0.15 & 0.33 & 0.02 \\
\end{array}
\]
Calculate the covariance of \(X\) and \(Y\).
\[
Cov(X, Y) = \underline{\hspace{2cm}}
\]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F80864b91-d3a3-4910-ac0e-8d4cb607fd82%2F78a41f88-44f7-4889-8ce7-652acbdb48aa%2Fnlq47sk_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Consider the following joint probabilities table for \(X\) and \(Y\), where \(x = 0, 10\) and \(y = 90, 100, 110\).
\[
\begin{array}{c|ccc}
XY & 90 & 100 & 110 \\
\hline
0 & 0.05 & 0.27 & 0.18 \\
10 & 0.15 & 0.33 & 0.02 \\
\end{array}
\]
Calculate the covariance of \(X\) and \(Y\).
\[
Cov(X, Y) = \underline{\hspace{2cm}}
\]
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