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  2. Magic number (sports) - Wikipedia

    en.wikipedia.org/wiki/Magic_number_(sports)

    In certain sports, a magic number is a number used to indicate how close a front-running team is to clinching a division title and/or a playoff spot. It represents the total of additional wins by the front-running team or additional losses (or any combination thereof) by the rival teams after which it is mathematically impossible for the rival teams to capture the title in the remaining number ...

  3. Drop chance probability - AOL

    www.aol.com/news/2010-01-13-drop-chance...

    Probability is a greatly misunderstood area of math that impacts most areas of WoW gameplay, but none so intensely debated as drop chances. You don't have to be a math expert to want to know how ...

  4. Odds - Wikipedia

    en.wikipedia.org/wiki/Odds

    Thus if expressed as a fraction with a numerator of 1, probability and odds differ by exactly 1 in the denominator: a probability of 1 in 100 (1/100 = 1%) is the same as odds of 1 to 99 (1/99 = 0.0101... = 0. 01), while odds of 1 to 100 (1/100 = 0.01) is the same as a probability of 1 in 101 (1/101 = 0.00990099... = 0. 0099). This is a minor ...

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  6. Lottery mathematics - Wikipedia

    en.wikipedia.org/wiki/Lottery_mathematics

    The probability of this happening is 1 in 13,983,816. The chance of winning can be demonstrated as follows: The first number drawn has a 1 in 49 chance of matching. When the draw comes to the second number, there are now only 48 balls left in the bag, because the balls are drawn without replacement .

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  8. Contract bridge probabilities - Wikipedia

    en.wikipedia.org/wiki/Contract_bridge_probabilities

    To find the likelihood of a certain point range, one simply subtracts the two relevant cumulative probabilities. So, the likelihood of being dealt a 12-19 HCP hand (ranges inclusive) is the probability of having at most 19 HCP minus the probability of having at most 11 HCP, or: 0.9855 − 0.6518 = 0.3337. [2]

  9. Law of truly large numbers - Wikipedia

    en.wikipedia.org/wiki/Law_of_truly_large_numbers

    For an event X that occurs with very low probability of 0.0000001%, or once in one billion trials, in any single sample (see also almost never), considering 1,000,000,000 as a "truly large" number of independent samples gives the probability of occurrence of X equal to 1 − 0.999999999 1000000000 ≈ 0.63 = 63% and a number of independent ...