Joint probability
A joint probability is the chance that two events both happen, written P(A and B), so the same individual or trial has to meet both conditions.
A joint probability describes the intersection , so both conditions have to be met by the same individual or trial. In a two-way table you find it by dividing an interior cell count by the grand total, never by a row or column total. Among 200 surveyed students, 45 are seniors who drive to school, so . Adding all the joint probabilities across a row gives the marginal probability for that row.
Where this comes up
- AP Stats 2.5: Mutually Exclusive EventsAP topic
- How to read a two-way table: joint, marginal, conditionalGuide
- How to use a tree diagram for probabilityGuide
- AP Stats 2.6: Conditional ProbabilityAP topic
- Independent events practice problems with full solutionsPractice
- Probability rules practice problemsPractice
- Union vs intersection in probabilityComparison
- AP Stats 2.7: Independent Events & UnionsAP topic
10 pages on the site use this term.
More probability terms, or browse the full statistics glossary.