Chapter 2: Problem 7
Let \(X\) and \(Y\) be random variables with \(\mu_{1}=1, \mu_{2}=4, \sigma_{1}^{2}=4, \sigma_{2}^{2}=\) 6, \(\rho=\frac{1}{2}\). Find the mean and variance of the random variable \(Z=3 X-2 Y\).
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Chapter 2: Problem 7
Let \(X\) and \(Y\) be random variables with \(\mu_{1}=1, \mu_{2}=4, \sigma_{1}^{2}=4, \sigma_{2}^{2}=\) 6, \(\rho=\frac{1}{2}\). Find the mean and variance of the random variable \(Z=3 X-2 Y\).
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Let \(X\) and \(Y\) have the parameters \(\mu_{1}, \mu_{2}, \sigma_{1}^{2}, \sigma_{2}^{2}\), and \(\rho\). Show that the correlation coefficient of \(X\) and \(\left[Y-\rho\left(\sigma_{2} / \sigma_{1}\right) X\right]\) is zero.
Show that the function \(F(x, y)\) that is equal to 1 provided that \(x+2 y \geq 1\), and that is equal to zero provided that \(x+2 y<1\), cannot be a distribution function of two random variables. Hint: \(\quad\) Find four numbers \(a
Find the probability of the union of the events
\(a
Let \(X_{1}, X_{2}\), and \(X_{3}\) be three random variables with means, variances, and correlation coefficients, denoted by \(\mu_{1}, \mu_{2}, \mu_{3} ; \sigma_{1}^{2}, \sigma_{2}^{2}, \sigma_{3}^{2} ;\) and \(\rho_{12}, \rho_{13}, \rho_{23}\), respec- tively. For constants \(b_{2}\) and \(b_{3}\), suppose \(E\left(X_{1}-\mu_{1} \mid x_{2}, x_{3}\right)=b_{2}\left(x_{2}-\mu_{2}\right)+b_{3}\left(x_{3}-\mu_{3}\right)\). Determine \(b_{2}\) and \(b_{3}\) in terms of the variances and the correlation coefficients.
If the correlation coefficient \(\rho\) of \(X\) and \(Y\) exists, show that \(-1 \leq \rho \leq 1\). Hint: Consider the discriminant of the nonnegative quadratic function $$ h(v)=E\left\\{\left[\left(X-\mu_{1}\right)+v\left(Y-\mu_{2}\right)\right]^{2}\right\\} $$ where \(v\) is real and is not a function of \(X\) nor of \(Y\).
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