Let fx(x) denote the PDF of X, evaluate fy (y), the PDF of Y = -X – b, in terms of fx(x). %3D a

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1. Let fx(x) denote the PDF of X, evaluate fy (y), the PDF of Y = --X – b, in terms of fx(x).
a
2. Let X and Y be two random variables with mean and variances equal to µx, µy,o,,o. Also, let
the coefficient of correlation between X and Y be equal to pxy.
Let the random variables U and V be defined as
a
cd
We say the (U, V) are obtained through a linear transformation from (X,Y). Let matrix
а b
A
c d
A. Evaluate the mean, variance, and correlation coefficient of (U,V).
B. Is there a linear transformation A for which the random variables U and V are not correlated ?
evaluate that matrix.
Transcribed Image Text:1. Let fx(x) denote the PDF of X, evaluate fy (y), the PDF of Y = --X – b, in terms of fx(x). a 2. Let X and Y be two random variables with mean and variances equal to µx, µy,o,,o. Also, let the coefficient of correlation between X and Y be equal to pxy. Let the random variables U and V be defined as a cd We say the (U, V) are obtained through a linear transformation from (X,Y). Let matrix а b A c d A. Evaluate the mean, variance, and correlation coefficient of (U,V). B. Is there a linear transformation A for which the random variables U and V are not correlated ? evaluate that matrix.
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