Consider the Following Linear Transformation of a Random Variable Y $\frac { x - \mu _ { x } } { \sigma _ { x } }$

Consider the following linear transformation of a random variable y = $\frac { x - \mu _ { x } } { \sigma _ { x } }$ where ?_x is the mean of x and ?_x is the standard deviation. Then the expected value and the standard deviation of Y are given as

A) 0 and 1
B) 1 and 1
C) Cannot be computed because Y is not a linear function of X
D) $\frac { \mu } { \sigma _ { x } }$ and ?_x