I absolutely know I am not doing this right. :[
Could I get some input or point back in the right direction?
My work done so far is shown below.
Let $X$ be a normal random variable with parameters $N(\mu, \sigma^2)$. Please find the Expected value and Variance of random variable $Y=\frac{1}{a} X-b$, where $a$ and $b$ are constant values.
My work.
$ \begin{align*} E(Y) &= aE(x)-b = \sum_x \Big(\frac{1}{a} x - b \Big) p_x(x) = \frac{1}{a} \sum_x x p_x(x) - b \\ &= \frac{1}{a} \sum_x x p_x(x) - b \sum_x p_x(x) = a E(x) - b \cdot 1. \end{align*} $
If $a = 0$, then $E(x-b) = E(x)$ and if $b = 0$, then $E(ax)= \frac{1}{a}E(x)$.
$ \begin{align*} \mu &= E(X) = \int_{-\infty}^{\infty} x f(x) dx = \int_{0}^{1} x \Big(\frac{1}{a} X - b \Big) dx = \frac{1}{a} \int_0^1 X^2 - xb ~dx \\ & = \frac{1}{a} \Big( \frac{x^3}{3} - \frac{bx^2}{2} \Big) \text{ from } 1 \text{ to } 0 \\ & = \frac{1}{a} \Big( \frac{1}{3} - \frac{b}{2} \Big) . \end{align*} $
$ \text{RV } Y = (X - E(x)^2). $
$ \sigma^2 = \operatorname{Var}(x) = E[(x) - E[x])^2] $
$ \operatorname{Var} \Big( \frac{1}{a} X - b \Big) = a^2 \operatorname{Var}(x). $ $ \int_{\Box}^{\Box}\Big( \frac{1}{a} X - b \Big) - \Big( \frac{1}{a} X - b \Big)^2 \ldots $