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You If $F_{Y}(y)$ is the CDF of $Y$, then
$$F_Y(y)=\text{Prob}(y>X_1,y>X_2,...,y>X_n)$$
You can then use the iid property and the cdf of a uniform variate to compute the cdf of$F_Y(y)$.
$F_Y(y)=\text{Prob}(y>X_1,y>X_2,...y>X_n)$
You can then use the iid property and the cdf of a uniform variate to compute the cdf of$F_Y(y)$.
If $F_{Y}(y)$ is the CDF of $Y$, then
$$F_Y(y)=\text{Prob}(y>X_1,y>X_2,...,y>X_n)$$
You can then use the iid property and the cdf of a uniform variate to compute $F_Y(y)$.
