If the p.d.f. of a random variable $X$ is $f(x) = \begin{cases} \exp{(-x)} & x > 0, \\ 0 & x \leq 0, \end{cases}$
how can I determine the p.d.f. of $Y= X^{1/2}$?
If the p.d.f. of a random variable $X$ is $f(x) = \begin{cases} \exp{(-x)} & x > 0, \\ 0 & x \leq 0, \end{cases}$
how can I determine the p.d.f. of $Y= X^{1/2}$?
Hint: It's easier to reason with the CDF. The CDF of $X$ is $$F_X(x) = 1 - \exp(-x)$$ Then find the CDF of $Y$: $$F_Y(y) = \mathbb P[Y \leq y] = \mathbb P[\sqrt X \leq y] = \mathbb P[X \leq y^2] = \ldots$$ Finally, differentiate $F_Y$ to find the PDF of $Y$.