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  2. 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 ...

  3. Bernoulli trial - Wikipedia

    en.wikipedia.org/wiki/Bernoulli_trial

    Probabilities of rolling k sixes from n independent fair dice, with crossed out dice denoting non-six rolls – 2 sixes out of 3 dice is circled On one die, the probability of rolling a six, p = 1 6 {\displaystyle p={\tfrac {1}{6}}} .

  4. 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).

  5. Gambler's fallacy - Wikipedia

    en.wikipedia.org/wiki/Gambler's_fallacy

    For a fair 16-sided die, the probability of each outcome occurring is ⁠ 1 / 16 ⁠ (6.25%). If a win is defined as rolling a 1, the probability of a 1 occurring at least once in 16 rolls is: [] = % The probability of a loss on the first roll is ⁠ 15 / 16 ⁠ (93.75%). According to the fallacy, the player should have a higher chance of ...

  6. 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.

  7. Probability interpretations - Wikipedia

    en.wikipedia.org/wiki/Probability_interpretations

    There are two broad categories [1] [2] of probability interpretations which can be called "physical" and "evidential" probabilities. Physical probabilities, which are also called objective or frequency probabilities, are associated with random physical systems such as roulette wheels, rolling dice and radioactive atoms. In such systems, a given ...

  8. 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]

  9. Probability theory - Wikipedia

    en.wikipedia.org/wiki/Probability_theory

    For example, rolling an honest die produces one of six possible results. One collection of possible results corresponds to getting an odd number. Thus, the subset {1,3,5} is an element of the power set of the sample space of dice rolls. These collections are called events. In this case, {1,3,5} is the event that the die falls on some odd number.