Jump to content

Odds

From Wikipedia, the free encyclopedia

This is an old revision of this page, as edited by Infarom (talk | contribs) at 14:10, 7 November 2006 (See also). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

For the alternative rock band, see Odds (band).

In probability theory and statistics the odds in favour of an event or a proposition are the quantity p / (1 − p), where p is the probability of the event or proposition. For example, if you chose a random day of the week, then the odds that you would choose a Sunday would be 1/6, not 1/7. The logarithm of the odds is the logit of the probability.

Odds have long been the standard way of representing probability used by bookmakers, though the method of presenting odds varies by location.

Taking an event with a 1 in 5 probability of occurring (i.e. 0.2 or 20%), then the odds are 0.2 / (1 − 0.2) = 0.2 / 0.8 = 0.25. If you bet 1 at fair odds and the event occurred, you would receive back 4 plus your original 1 stake. This would be presented in fractional odds of 4 to 1 against (written as 4 : 1 or 4/1), in decimal odds as 5.0 to include the returned stake, in craps payout as 5 for 1, and in moneyline odds as +400 representing the gain from a 100 stake.

By contrast, for an event with a 4 in 5 probability of occurring (i.e. 0.8 or 80%), then the odds are 0.8 / (1 − 0.8) = 4. If you bet 4 at fair odds and the event occurred, you would receive back 1 plus your original 4 stake. This would be presented in fractional odds of 4 to 1 on (written as 1 : 4 or 1/4), in decimal odds as 1.25 to include the returned stake, in craps as 5 for 4, and in moneyline odds as −400 representing the stake necessary to gain 100.

The odds are a ratio of probabilities; an odds ratio is a ratio of odds, that is, a ratio of ratios of probabilities. Odds-ratios are often used in analysis of clinical trials. While they have useful mathematical properties, they can produce counter-intuitive results: in the example above an 80% probability is four times the chance of a 20% probability but the odds are 16 times higher.

See also