We have the following information about the random variables X and Y: μx= 4 `, My = 5 Cov(X, Y) = στ 8 15 4 225 ● of = 2 75 of = 11 225 Calculate the standard deviation of Z = 3Y – X.

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We have the following information about the random variables \( X \) and \( Y \):

\[
\mu_X = \frac{4}{5}, \quad \mu_Y = \frac{8}{15}, \quad \sigma_X^2 = \frac{2}{75}, \quad \sigma_Y^2 = \frac{11}{225}, 
\]
\[
Cov(X,Y) = \frac{4}{225}.
\]

Calculate the standard deviation of \( Z = 3Y - X \).

\[
\sigma_Z = \boxed{}
\]
Transcribed Image Text:We have the following information about the random variables \( X \) and \( Y \): \[ \mu_X = \frac{4}{5}, \quad \mu_Y = \frac{8}{15}, \quad \sigma_X^2 = \frac{2}{75}, \quad \sigma_Y^2 = \frac{11}{225}, \] \[ Cov(X,Y) = \frac{4}{225}. \] Calculate the standard deviation of \( Z = 3Y - X \). \[ \sigma_Z = \boxed{} \]
Expert Solution
Step 1: Determine the given data

From the provided information,

sigma squared subscript X equals 2 over 75
sigma squared subscript Y equals 11 over 225
C o v open parentheses X comma Y close parentheses equals 4 over 225

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