# Category:Independent Events

This category contains results about Independent Events.
Definitions specific to this category can be found in Definitions/Independent Events.

Let $\EE$ be an experiment with probability space $\struct {\Omega, \Sigma, \Pr}$.

Let $A, B \in \Sigma$ be events of $\EE$ such that $\map \Pr A > 0$ and $\map \Pr B > 0$.

### Definition 1

The events $A$ and $B$ are defined as independent (of each other) if and only if the occurrence of one of them does not affect the probability of the occurrence of the other one.

Formally, $A$ is independent of $B$ if and only if:

$\condprob A B = \map \Pr A$

where $\condprob A B$ denotes the conditional probability of $A$ given $B$.

### Definition 2

The events $A$ and $B$ are defined as independent (of each other) if and only if the occurrence of both of them together has the same probability as the product of the probabilities of each of them occurring on their own.

Formally, $A$ and $B$ are independent if and only if:

$\map \Pr {A \cap B} = \map \Pr A \map \Pr B$

## Pages in category "Independent Events"

The following 7 pages are in this category, out of 7 total.