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  2. Coupon collector's problem - Wikipedia

    en.wikipedia.org/wiki/Coupon_collector's_problem

    In probability theory, the coupon collector's problem refers to mathematical analysis of "collect all coupons and win" contests. It asks the following question: if each box of a given product (e.g., breakfast cereals) contains a coupon, and there are n different types of coupons, what is the probability that more than t boxes need to be bought ...

  3. Lottery mathematics - Wikipedia

    en.wikipedia.org/wiki/Lottery_mathematics

    As a discrete probability space, the probability of any particular lottery outcome is atomic, meaning it is greater than zero. Therefore, the probability of any event is the sum of probabilities of the outcomes of the event. This makes it easy to calculate quantities of interest from information theory.

  4. Monty Hall problem - Wikipedia

    en.wikipedia.org/wiki/Monty_Hall_problem

    [50] [13] [49] The conditional probability of winning by switching is ⁠ 1/3 / 1/3 + 1/6 ⁠, which is ⁠ 2 / 3 ⁠. [2] The conditional probability table below shows how 300 cases, in all of which the player initially chooses door 1, would be split up, on average, according to the location of the car and the choice of door to open by the host.

  5. Balls into bins problem - Wikipedia

    en.wikipedia.org/wiki/Balls_into_bins_problem

    However, it is possible to calculate a tighter bound that holds with high probability. A "high probability" is a probability 1 − o ( 1 ) {\displaystyle 1-o(1)} , i.e. the probability tends to 1 {\displaystyle 1} when n {\displaystyle n} grows to infinity.

  6. Odds - Wikipedia

    en.wikipedia.org/wiki/Odds

    When probability is expressed as a number between 0 and 1, the relationships between probability p and odds are as follows. Note that if probability is to be expressed as a percentage these probability values should be multiplied by 100%. " X in Y" means that the probability is p = X / Y. " X to Y in favor" means that the probability is p = X ...

  7. Randomness - Wikipedia

    en.wikipedia.org/wiki/Randomness

    Random selection, when narrowly associated with a simple random sample, is a method of selecting items (often called units) from a population where the probability of choosing a specific item is the proportion of those items in the population. For example, with a bowl containing just 10 red marbles and 90 blue marbles, a random selection ...

  8. Noncentral hypergeometric distributions - Wikipedia

    en.wikipedia.org/wiki/Noncentral_hypergeometric...

    The probability of taking a particular item at a particular draw is equal to its fraction of the total "weight" of all items that have not yet been taken at that moment. The weight of an item depends only on its kind (e.g., color). The total number n of items to take is fixed and independent of which items happen to be taken first.

  9. Keno - Wikipedia

    en.wikipedia.org/wiki/Keno

    The player is paid based on how many numbers were chosen (either player selection, or the terminal picking the numbers), the number of matches out of those chosen, and the wager. There are a wide variety of keno paytables depending on the casino, usually with a larger " house edge " than other games, ranging from less than 4 percent [ 1 ] to ...