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:

\[ P_{\textrm{naive}}(A) = \frac{\textnormal{number of outcomes favorable to $A$}}{\textnormal{number of outcomes}} \]