# 2.7: Conditional Probability

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**Basic**Created by: CK-12
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Term | Definition |
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conditional probability |
The probability of a particular dependent event given the outcome of the event on which it occurs. |

conditional probability formula |
The conditional probability formula is P(A/B) = P(AUB)/P(B) |

Dependent Events |
In probability situations, dependent events are events where one outcome impacts the probability of the other. |

Favorable Outcome |
A favorable outcome is the outcome that you are looking for in an experiment. |

Independent Events |
Two events are independent if the occurrence of one event does not impact the probability of the other event. |

Multiplication Rule |
States that for 2 events (A and B), the probability of A and B is given by: P(A and B) = P(A) x P(B). |

Mutually Exclusive Events |
Mutually exclusive events have no common outcomes. |

Sample Space |
In a probability experiment, the sample space is the set of all the possible outcomes of the experiment. |

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Description

Covers conditional probability.

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Date Created:

Feb 24, 2012
Last Modified:

Aug 11, 2016
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