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Needs:
Uncertain Outcomes
Operations
Needed by:
Event Probabilities
Outcome Variables
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Uncertain Events

Why

Often when considering an uncertain outcome, we want to treat of several possibilities at once.

Definition

An event (or compound event, random event) is a subset of outcomes.

Examples

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

\[ D = \set{(1,1),(2,2),(3,3),(4,4),(5,5),(6,6)}. \]

We may model the situation that the die turns up four with the event $\set{4, 5, 6}$.

Operations with events

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.

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