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  2. Tree diagram (probability theory) - Wikipedia

    en.wikipedia.org/wiki/Tree_diagram_(probability...

    In probability theory, a tree diagram may be used to represent a probability space. A tree diagram may represent a series of independent events (such as a set of coin flips) or conditional probabilities (such as drawing cards from a deck, without replacing the cards). [1] Each node on the diagram represents an event and is associated with the ...

  3. File:Probability tree diagram.svg - Wikipedia

    en.wikipedia.org/wiki/File:Probability_tree...

    The following other wikis use this file: Usage on fr.wikipedia.org Théorie des probabilités; Usage on fr.wikiversity.org Variable aléatoire discrète/Répétition d'expériences

  4. Template:Probability fundamentals - Wikipedia

    en.wikipedia.org/wiki/Template:Probability...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  5. Template:Tree chart/start - Wikipedia

    en.wikipedia.org/wiki/Template:Tree_chart/start

    This template is used on approximately 9,600 pages and changes may be widely noticed. Test changes in the template's /sandbox or /testcases subpages, or in your own user subpage . Consider discussing changes on the talk page before implementing them.

  6. Template:Probability distributions - Wikipedia

    en.wikipedia.org/wiki/Template:Probability...

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  7. Tree diagram - Wikipedia

    en.wikipedia.org/wiki/Tree_diagram

    Tree diagram (probability theory), a diagram to represent a probability space in probability theory; Decision tree, a decision support tool that uses a tree-like graph or model of decisions and their possible consequences; Event tree, inductive analytical diagram in which an event is analyzed using Boolean logic; Game tree, a tree diagram used ...

  8. File:Birthday paradox probability.svg - Wikipedia

    en.wikipedia.org/wiki/File:Birthday_paradox...

    English: In probability theory, the birthday paradox concerns the probability that, in a set of n randomly chosen people, some pair of them will have the same birthday. By the pigeonhole principle, the probability reaches 100% when the number of people reaches 367 (since there are 366 possible birthdays, including February 29). However, 99% ...

  9. Birthday problem - Wikipedia

    en.wikipedia.org/wiki/Birthday_problem

    Comparing p(n) = probability of a birthday match with q(n) = probability of matching your birthday. In the birthday problem, neither of the two people is chosen in advance. By contrast, the probability q(n) that at least one other person in a room of n other people has the same birthday as a particular person (for example, you) is given by