In probability theory, to say that two events are independent (alternatively statistically independent, marginally independent or absolutely independent) means that the occurrence of one does not affect the probability of the other. Similarly, two random variables are independent if the observed value of one does not affect the probability distribution of the other.
The concept of independence extends to dealing with collections of more than two events or random variables.
Famous quotes containing the word independence:
“Traditionally in American society, men have been trained for both competition and teamwork through sports, while women have been reared to merge their welfare with that of the family, with fewer opportunities for either independence or other team identifications, and fewer challenges to direct competition. In effect, women have been circumscribed within that unit where the benefit of one is most easily believed to be the benefit of all.”
—Mary Catherine Bateson (b. 1939)