A random variable Y has cdf:
$$F(y) = \begin{cases} 0 & y < 0 \\ \ln(y) & 1 \le y \le e \\ 1 & e < y \end{cases}$$
Find:
- $P(Y < 2)$
- $P(2 < Y < 2.5)$
- $P(2 < Y \le 2.5)$
- $f(y)$
For 4, I used differentiation to obtain $\dfrac{1}{y}$ for $1 \le y \le e$
A random variable Y has cdf:
$$F(y) = \begin{cases} 0 & y < 0 \\ \ln(y) & 1 \le y \le e \\ 1 & e < y \end{cases}$$
Find:
For 4, I used differentiation to obtain $\dfrac{1}{y}$ for $1 \le y \le e$
Copyright © 2021 JogjaFile Inc.
1-
$P(Y<2) = P(Y<=2) - P(Y=2)$
$P(Y<2) = P(Y<=2) - 0$
$P(Y<2) = F(2) = ln(2)$
2-
$P(2<Y<2.5) = P(Y < 2.5) - P(Y<2)$
$P(2<Y<2.5) = ln(2.5) - ln(2)$
3-
$P(2<Y≤2.5) = P(Y < 2.5) - P(Y<2)$
$P(2<Y<2.5) = ln(2.5) - ln(2)$
4-
$\frac{1}{Y} , 1≤y≤e$