Basic Definitions
Contents
Basic Definitions#
Experiments/Outcomes#
An experiment generates an outcome from a pre-determined list. For example, a dice roll generates outcomes in the set \(\{1, 2, 3, 4, 5, 6\}\)
Sample Space#
The sample space, denoted \(\Omega\), is the set of possible outcomes. Note that the probability of this event is 1, since something in the sample space will always occur.
Event#
An event is a subset of the sample space, or a collection of possible outcomes of an experiment. We say that the event has occurred if any of the outcomes in the event have happened.
Naive Definition of Probability#
If all outcomes are equally likely, the probability of an event \(A\) happening is:
\[
P_{\textrm{naive}}(A) = \frac{\textnormal{number of outcomes favorable to $A$}}{\textnormal{number of outcomes}}
\]