Often when considering an uncertain outcome, we want to treat of several possibilities at once.
An event (or compound event, random event) is a subset of outcomes.
Even or odd number of pips. As before, we model rolling a die with the sample space $\set{1, 2, 3, 4, 5, 6}$. In this case, we model the situation that the number of pips is odd with the event (i.e., set) $\set{1, 3, 5}$. Similarly, we may model the situation that the number of pips is even with the set $\set{2, 4, 6}$.
Rolling doubles.
Suppose we model rolling two dice with the
sample space $\set{1,\dots ,6}^2$.
We may model the situation of rolling
“doubles”—the two die show the same number of
pips—with the event $D$ defined by
\[
D = \set{(1,1),(2,2),(3,3),(4,4),(5,5),(6,6)}.
\]
It is desirable to clarify what we mean when
we make the usual compound statements about an
uncertain outcome.
For example, given that we have an event for
modeling that the number of pips on the die is
even, and one for modeling that the number of
pips on the die is odd, what are the events
corresponding to the number of pips being even
or odd...even and odd.
In this case, if $O = \set{1,3,5}$ is the
event of an odd number of pips and $E =
\set{2,4,6}$ is the event of an even number of
pips.
The event of an even or odd number of
pips is $\set{1,2,3,4,5,6}$.
The event of an even and odd number of
pips is $\varnothing$, since no number is both
even and odd.
Notice that
\[
O \cup E = \set{1,2,3,4,5,6} \text{ and } O \cap E =
\varnothing
\]
In general, given events $A, B \subset \Omega $, we call the event $A \cup B$ the event that either $A$ or $B$ occurs. Similarly we call the event $A \cap B$ as the event that both $A$ and $B$ occur. We call $\Omega - A$, the complement of $A$ in $\Omega $, as the event that $A$ does not occur. Two event are incompatibile if $A \cap B = \varnothing$. We refer to $\Omega $ as the sure event and $\varnothing$ as the impossible event. When $A \subseteq B$, we say that $A$ must occur if $B$ occurs.