forked from emsbach/probability-and-computing-solutions
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathexercise01.21.tex
18 lines (18 loc) · 868 Bytes
/
exercise01.21.tex
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
\paragraph{Exercise 1.21} We choose a number uniformly at random from the set
$\{ 1, 2, 3, 4 \}$. Then $\Omega = \{ 1, 2, 3, 4 \}$. Let $X, Y, Z$ be three events,
such that $X = \{ 1, 2 \}, Y = \{ 2, 3 \}$ and $Z = \{ 1, 3 \}$. Since
\begin{align*}
\pr(X \cap Y) = \pr\left(\{ 2 \}\right) = \frac{1}{4}
= \frac{1}{2} \cdot \frac{1}{2} = \pr(X) \cdot \pr(Y), \\
\pr(X \cap Z) = \pr\left(\{ 1 \}\right) = \frac{1}{4}
= \frac{1}{2} \cdot \frac{1}{2} = \pr(X) \cdot \pr(Z), \\
\pr(Y \cap Z) = \pr\left(\{ 3 \}\right) = \frac{1}{4}
= \frac{1}{2} \cdot \frac{1}{2} = \pr(Y) \cdot \pr(Z),
\end{align*}
$X, Y, Z$ are three random events such that any pair of them is independent.
However, since
\[
\pr(X \cap Y \cap Z) = \pr(\emptyset) = 0
< \left(\frac{1}{2}\right)^3 = \pr(X) \cdot \pr(Y) \cdot \pr(Z)
\]
$X, Y$ and $Z$ are not mutually independent.