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  2. Intransitive dice - Wikipedia

    en.wikipedia.org/wiki/Intransitive_dice

    Each die is beaten by the previous die in the list with wraparound, with probability2 / 3 ⁠. C beats A with probability ⁠ 5 / 9 ⁠, and B and D have equal chances of beating the other. [4] If each player has one set of Efron's dice, there is a continuum of optimal strategies for one player, in which they choose their die with the ...

  3. 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 (probability1 / 1,296 ⁠), while a roll of 18 results if any three dice are 6 (probability ⁠ 21 / 1,296 ...

  4. Dice pool - Wikipedia

    en.wikipedia.org/wiki/Dice_pool

    Shadowrun (1989), designed by Bob Charrette, Paul Hume, and Tom Dowd, used a comparative dice pool, in which players roll a set of six-sided dice and each die rolled was compared to a target number to determine if that die was a success or a failure, with the number of successes determining the outcome of the action taken.

  5. Conditional probability distribution - Wikipedia

    en.wikipedia.org/wiki/Conditional_probability...

    Then the unconditional probability that = is 3/6 = 1/2 (since there are six possible rolls of the dice, of which three are even), whereas the probability that = conditional on = is 1/3 (since there are three possible prime number rolls—2, 3, and 5—of which one is even).

  6. Random variable - Wikipedia

    en.wikipedia.org/wiki/Random_variable

    Instead of speaking of a probability mass function, we say that the probability density of X is 1/360. The probability of a subset of [0, 360) can be calculated by multiplying the measure of the set by 1/360. In general, the probability of a set for a given continuous random variable can be calculated by integrating the density over the given set.

  7. 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 0.

  8. Sicherman dice - Wikipedia

    en.wikipedia.org/wiki/Sicherman_dice

    Comparison of sum tables of normal (N) and Sicherman (S) 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.

  9. Principle of indifference - Wikipedia

    en.wikipedia.org/wiki/Principle_of_indifference

    Applying the principle of indifference, we assign each of the possible outcomes a probability of 1/n. As with coins, it is assumed that the initial conditions of throwing the dice are not known with enough precision to predict the outcome according to the laws of mechanics. Dice are typically thrown so as to bounce on a table or other surface(s).