I need to find the distribution of $2\theta X_i^2$ in order to show that $\sum_{i=1}^n 2\theta X_i^2$ is a pivot, (and thus $\sum_{i=1}^n 2\theta X_i^2 \sim N(0,1)$). $X_1,X_2,...,X_n$ are i.i.d. with $f(x,\theta)=2x\theta e^{-\theta x^2}1(x>0)$ and $\theta >0$.
To find the distribution of $2\theta X_i^2$, I wanted to use the expected value and variance of $f(x,\theta)=2x\theta e^{-\theta x^2}1(x>0)$.
I found that $E[2\theta X_i^2]=2$ and $Var[2\theta X_i^2]=8-16\theta^2$ by integrating $f(x,\theta)$, however I am not sure this is the right method.