This page will contain discussion groups about jojo, as they become available.JojoJojo is the name of:
Jojo may also refer to:
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Jojo may also refer to:. 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. Jojo is the name of:. Odds-ratios are often used in analysis of clinical trials. JoJo's Bizarre Adventure, a manga and an anime. The odds are a ratio of probabilities; an odds ratio is a ratio of odds, that is, a ratio of ratios of probabilities. Jojo, a song by Boz Scaggs. This would be presented in fractional odds of 1 to 4 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. Jojo's Circus, a children's television show. If you bet 4 at fair odds and the event occurred, you would receive back 1 plus your original 4 stake. JoJo Savard, a self-proclaimed 1-900 psychic. 0.8 or 80%), then the odds are 0.8 / (1 − 0.8) = 4. Joel "Jo-Jo" Hailey, a male R&B singer from K-Ci & JoJo and Jodeci. By contrast, for an event with a 4 in 5 probability of occurring (i.e. JoJo, a female pop singer. 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. If you bet 1 at fair odds and the event occurred, you would receive back 4 plus your original 1 stake. 0.2 or 20%), then the odds are 0.2 / (1 − 0.2) = 0.2 / 0.8 = 0.25. Taking an event with a 1 in 5 probability of occurring (i.e. Odds have long been the standard way of representing probability used by bookmakers, though the method of presenting odds varies by location. The logarithm of the odds is the logit of the probability. In probability theory and statistics the odds in favor of an event or a proposition are the quantity p / (1 − p), where p is the probability of the event or proposition. |