Statistical Independence
Events and are defined to be statistically independent if:
- .
That is, the occurrence of does not affect the probability of, and vice versa. Although the derived forms may seem more intuitive, they are not the preferred definition as the conditional probabilities may be undefined if or are 0, and the preferred definition is symmetrical in and .
Read more about this topic: Conditional Probability
Famous quotes containing the word independence:
“The subject of the novel is reality liberated from soul. The reader in complete independence presented with a structured process: let him evaluate it, not the author. The façade of the novel cannot be other than stone or steel, flashing electrically or dark, but silent.”
—Alfred Döblin (1878–1957)