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probability$64043$ - translation to greek
![0-521-62128-3}} [https://books.google.com/books?id=Q1AUhivGmyUC&pg=PA149 page 149]</ref>](https://commons.wikimedia.org/wiki/Special:FilePath/Maxwell-Distr.png?width=200 "0-521-62128-3}} [https://books.google.com/books?id=Q1AUhivGmyUC&pg=PA149 page 149]</ref>")
![A ''probability measure'' mapping the probability space for <math>2^3</math> events to the [[unit interval]].](https://commons.wikimedia.org/wiki/Special:FilePath/Probability-measure.svg?width=200 "A ''probability measure'' mapping the probability space for <math>2^3</math> events to the [[unit interval]].")
![economic/business cycles]]](https://commons.wikimedia.org/wiki/Special:FilePath/Economic cycle.svg?width=200 "economic/business cycles]]")
![late medieval Europe]]](https://commons.wikimedia.org/wiki/Special:FilePath/Late Medieval Trade Routes.jpg?width=200 "late medieval Europe]]")
 per capita in 2022 by IMF.png?width=200 "List of countries by GDP (PPP) per capita in April 2022.")
![An example [[production–possibility frontier]] with illustrative points marked.](https://commons.wikimedia.org/wiki/Special:FilePath/Production Possibilities Frontier Curve.svg?width=200 "An example [[production–possibility frontier]] with illustrative points marked.")
![[[John Maynard Keynes]] (right) was a key theorist in economics.](https://commons.wikimedia.org/wiki/Special:FilePath/WhiteandKeynes.jpg?width=200 "[[John Maynard Keynes]] (right) was a key theorist in economics.")
Wikipedia
In mathematics, a probability measure is a real-valued function defined on a set of events in a probability space that satisfies measure properties such as countable additivity. The difference between a probability measure and the more general notion of measure (which includes concepts like area or volume) is that a probability measure must assign value 1 to the entire probability space.
Intuitively, the additivity property says that the probability assigned to the union of two disjoint events by the measure should be the sum of the probabilities of the events; for example, the value assigned to "1 or 2" in a throw of a dice should be the sum of the values assigned to "1" and "2".
Probability measures have applications in diverse fields, from physics to finance and biology.
