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  2. Newton–Pepys problem - Wikipedia

    en.wikipedia.org/wiki/Newton–Pepys_problem

    The Newton–Pepys problem is a probability problem concerning the probability of throwing sixes from a certain number of dice. [1] In 1693 Samuel Pepys and Isaac Newton corresponded over a problem posed to Pepys by a school teacher named John Smith. [2] The problem was: Which of the following three propositions has the greatest chance of success?

  3. Mia (game) - Wikipedia

    en.wikipedia.org/wiki/Mia_(game)

    As an example, consider the roll 55. There are two rolls ranked above this (21 and 66), and so the probability that any single subsequent roll would beat 55 is the sum of the probability of rolling 21, which is 2 ⁄ 36, or rolling 66, which is 1 ⁄ 36. Therefore the probability of beating 55 outright on a subsequent roll is 3 ⁄ 36 or 8.3%.

  4. Intransitive dice - Wikipedia

    en.wikipedia.org/wiki/Intransitive_dice

    The probability that A rolls a higher number than B, the probability that B rolls higher than C, and the probability that C rolls higher than A are all ⁠ 5 / 9 ⁠, so this set of dice is intransitive. In fact, it has the even stronger property that, for each die in the set, there is another die that rolls a higher number than it more than ...

  5. Dice notation - Wikipedia

    en.wikipedia.org/wiki/Dice_notation

    For instance, 4d6−L means a roll of 4 six-sided dice, dropping the lowest result. This application skews the probability curve towards the higher numbers, as a result a roll of 3 can only occur when all four dice come up 1 (probability ⁠ 1 / 1,296 ⁠), while a roll of 18 results if any three dice are 6 (probability ⁠ 21 / 1,296 ...

  6. Discrete uniform distribution - Wikipedia

    en.wikipedia.org/wiki/Discrete_uniform_distribution

    In probability theory and statistics, the discrete uniform distribution is a symmetric probability distribution wherein each of some finite whole number n of outcome values are equally likely to be observed. Thus every one of the n outcome values has equal probability 1/n. Intuitively, a discrete uniform distribution is "a known, finite number ...

  7. Craps - Wikipedia

    en.wikipedia.org/wiki/Craps

    The probability of dice combinations determine the odds of the payout. There are a total of 36 (6 × 6) possible combinations when rolling two dice. The following chart shows the dice combinations needed to roll each number. The two and twelve are the hardest to roll since only one combination of dice is possible.

  8. Dice pool - Wikipedia

    en.wikipedia.org/wiki/Dice_pool

    While some dice mechanics determine the result from a roll of a single die, others have a player or players rolling a "pool" of multiple dice. For most such mechanics, all of the dice are thrown simultaneously and without order, with the dice being treated as indistinguishable other than the number they show.

  9. Pig (dice game) - Wikipedia

    en.wikipedia.org/wiki/Pig_(dice_game)

    The game of Pig is played with a single six-sided die. Pig is a simple die game first described in print by John Scarne in 1945. [1] Players take turns to roll a single die as many times as they wish, adding all roll results to a running total, but losing their gained score for the turn if they roll a .