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  2. Bernoulli trial - Wikipedia

    en.wikipedia.org/wiki/Bernoulli_trial

    Graphs of probability P of not observing independent events each of probability p after n Bernoulli trials vs np for various p.Three examples are shown: Blue curve: Throwing a 6-sided die 6 times gives a 33.5% chance that 6 (or any other given number) never turns up; it can be observed that as n increases, the probability of a 1/n-chance event never appearing after n tries rapidly converges to ...

  3. Odds algorithm - Wikipedia

    en.wikipedia.org/wiki/Odds_algorithm

    The odds strategy is the rule to observe the events one after the other and to stop on the first interesting event from index s onwards (if any), where s is the stopping threshold of output a. The importance of the odds strategy, and hence of the odds algorithm, lies in the following odds theorem.

  4. Words of estimative probability - Wikipedia

    en.wikipedia.org/wiki/Words_of_estimative...

    In 1964 Sherman Kent, one of the first contributors to a formal discipline of intelligence analysis addressed the problem of misleading expressions of odds in National Intelligence Estimates (NIE). In Words of Estimative Probability, Kent distinguished between "poets" (those preferring wordy probabilistic statements) from "mathematicians ...

  5. Odds - Wikipedia

    en.wikipedia.org/wiki/Odds

    The true odds against winning for each of the three horses are 1–1, 3–2 and 9–1, respectively. In order to generate a profit on the wagers accepted, the bookmaker may decide to increase the values to 60%, 50% and 20% for the three horses, respectively. This represents the odds against each, which are 4–6, 1–1 and 4–1, in order.

  6. Probability of success - Wikipedia

    en.wikipedia.org/wiki/Probability_of_success

    For example, a health authority often requires the magnitude of the treatment effect to be bigger than an effect which is merely statistically significant in order to support successful registration. In order to address this issue, we can extend conditional power and predictive power to the concept of probability of success.

  7. Probability of kill - Wikipedia

    en.wikipedia.org/wiki/Probability_of_kill

    For example, if a weapon is expected to hit a target nine times out of ten with a representative set of ten engagements, one could say that this weapon has a P hit of 0.9. If the chance of hits is nine out of ten, but the probability of a kill with a hit is 0.5, then the P k becomes 0.45 or 45%.

  8. Trump speech replay: President says US is 'just getting ... - AOL

    www.aol.com/live-updates-donald-trump-address...

    Canada’s Prime Minister Justin Trudeau said Tuesday his country would hit back hard against U.S. tariffs, but it isn’t clear what President Donald Trump wanted to accomplish.

  9. Lottery mathematics - Wikipedia

    en.wikipedia.org/wiki/Lottery_mathematics

    For example, one has to buy 13,983,816 different tickets to ensure to win the jackpot in a 6/49 game. Lottery organizations have laws, rules and safeguards in place to prevent gamblers from executing such an operation. Further, just winning the jackpot by buying every possible combination does not guarantee that one will break even or make a ...