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  2. Urn problem - Wikipedia

    en.wikipedia.org/wiki/Urn_problem

    In probability and statistics, an urn problem is an idealized mental exercise in which some objects of real interest (such as atoms, people, cars, etc.) are represented as colored balls in an urn or other container. One pretends to remove one or more balls from the urn; the goal is to determine the probability of drawing one color or another ...

  3. 100 prisoners problem - Wikipedia

    en.wikipedia.org/wiki/100_prisoners_problem

    In the initial problem, the 100 prisoners are successful if the longest cycle of the permutation has a length of at most 50. Their survival probability is therefore equal to the probability that a random permutation of the numbers 1 to 100 contains no cycle of length greater than 50. This probability is determined in the following.

  4. Buffon's needle problem - Wikipedia

    en.wikipedia.org/wiki/Buffon's_needle_problem

    We can calculate the probability P as the product of two probabilities: P = P 1 · P 2, where P 1 is the probability that the center of the needle falls close enough to a line for the needle to possibly cross it, and P 2 is the probability that the needle actually crosses the line, given that the center is within reach.

  5. Noetic Learning math contest - Wikipedia

    en.wikipedia.org/wiki/Noetic_Learning_Math_Contest

    The Noetic Learning math contest was founded in 2007 by Li Kelty. The company is based in Overland Park, Kansas. [6] The contest has grown over the years, with participants from various schools across the United States. [18] In Spring 2023, more than 35,000 students nationwide participated in the Noetic Learning Math Contest. [19]

  6. Category:Probability problems - Wikipedia

    en.wikipedia.org/wiki/Category:Probability_problems

    Pages in category "Probability problems" The following 31 pages are in this category, out of 31 total. This list may not reflect recent changes. B. Balls into bins ...

  7. Millennium Prize Problems - Wikipedia

    en.wikipedia.org/wiki/Millennium_Prize_Problems

    The question is whether or not, for all problems for which an algorithm can verify a given solution quickly (that is, in polynomial time), an algorithm can also find that solution quickly. Since the former describes the class of problems termed NP, while the latter describes P, the question is equivalent to asking whether all problems in NP are ...

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