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  2. Sicherman dice - Wikipedia

    en.wikipedia.org/wiki/Sicherman_dice

    If zero is allowed, normal dice have one variant (N') and Sicherman dice have two (S' and S"). Each table has 1 two, 2 threes, 3 fours etc. A standard exercise in elementary combinatorics is to calculate the number of ways of rolling any given value with a pair of fair six-sided dice (by taking the sum of the two rolls).

  3. Probability - Wikipedia

    en.wikipedia.org/wiki/Probability

    The probabilities of rolling several numbers using two dice. Probability is the branch of mathematics and statistics concerning events and numerical descriptions of how likely they are to occur. The probability of an event is a number between 0 and 1; the larger the probability, the more likely an event is to occur.

  4. Conditional probability - Wikipedia

    en.wikipedia.org/wiki/Conditional_probability

    Let D 1 be the value rolled on dice 1. Let D 2 be the value rolled on dice 2. Probability that D 1 = 2. Table 1 shows the sample space of 36 combinations of rolled values of the two dice, each of which occurs with probability 1/36, with the numbers displayed in the red and dark gray cells being D 1 + D 2.

  5. 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 ...

  6. Dice - Wikipedia

    en.wikipedia.org/wiki/Dice

    For example, rolling a single six-sided die yields a uniform distribution, where each number from 1 to 6 has an equal chance of appearing. However, when rolling two dice and summing the results, the probability distribution shifts, as some sums (like 7) become more likely than others (like 2 or 12).

  7. 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?

  8. Intransitive dice - Wikipedia

    en.wikipedia.org/wiki/Intransitive_dice

    Consider the following set of dice. Die A has sides 2, 2, 4, 4, 9, 9. Die B has sides 1, 1, 6, 6, 8, 8. Die C has sides 3, 3, 5, 5, 7, 7. 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 ...

  9. Midnight (game) - Wikipedia

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

    So the player has a 41.8% chance of throwing a 1 and a 4 on the first throw of the dice and a 74.2% chance of throwing a 1 and a 4 after the second throw of the dice. The formula can be used to calculate the maximum probability of scoring when the player has less than 6 dice.