Course Content

# Probability Theory Basics

4. Commonly Used Continuous Distributions

5. Covariance and Correlation

Probability Theory Basics

## Independence and Incompatibility of Random Events

In probability theory, independence and incompatibility are concepts related to the relationship between random events.

**Independence**: Two events are considered independent if the occurrence or non-occurrence of one event does not affect the probability of the occurrence or non-occurrence of the other event. In other words, knowing whether one event happens provides no information about the likelihood of the other event happening.**Events A and B are independent if P(A intersection B) = P(A)*P(B)**.**Incompatibility**: Two events are incompatible if they cannot occur simultaneously. If the occurrence of one event excludes the possibility of the other event happening, they are considered incompatible. For example, flipping a coin and getting heads and tails simultaneously is incompatible since the coin can only show one side at a time.**Events A and B are incompatible if P(A intersection B) = 0**.

Examples of independent and incompatible events:

Independant events | Incompatible events |

Results of flipping a fair coin and rolling a fair die | Rolling a die and getting an odd number and an even number on the same roll |

Results of flipping two different coins | Selecting a card from a deck and getting a red card and a black card at the same time |

You draw a card from a standard deck with replacement (after we have drawn a card, we return it back to the deck) . What is the probability of drawing a red card (heart or diamond) followed by drawing a black card (spade or club)?

Select the correct answer

Everything was clear?

Section 1. Chapter 5