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Suppose $X$ is a continuous random variable with a cumulative distributive function of $F(x)$. Let $Y$ be a variable such that $Y$ can be represented in terms of $X$, i.e $Y=F(X)$. Show that the probability density function of $Y$ represents a uniform distribution.

To begin I've tried to $G(y)$ be the CDF and $g(y)$ to be the PDF.
$\therefore G(y)=P(Y≤y)$
$=P(F(X)≤y)$
I can't progress from here (if this is even the right direction), any help would be greatly appreciated.

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  • $\begingroup$ @callculus42 I don't understand the step $P(X≤F^{-1}(y))=F(F^{-1}(y))$ $\endgroup$ Commented Oct 24, 2021 at 21:29
  • $\begingroup$ $F(x)$ is there the cdf. So $P(X\leq x)=F(x)$ $\endgroup$ Commented Oct 24, 2021 at 21:31

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