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  2. File:High School Probability and Statistics (Basic).pdf

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

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses ...

  3. Template:Probability fundamentals - Wikipedia

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

    Download QR code; Print/export Download as PDF; Printable version; In other projects ... Part of a series on statistics: Probability theory; Probability. Axioms ...

  4. Template:Probability distributions - Wikipedia

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

    Template: Probability distributions. ... Download QR code; Print/export Download as PDF; Printable version; In other projects

  5. Odds algorithm - Wikipedia

    en.wikipedia.org/wiki/Odds_algorithm

    The odds strategy is optimal, that is, it maximizes the probability of stopping on the last 1. The win probability of the odds strategy equals w = Q s R s {\displaystyle w=Q_{s}R_{s}} If R s ≥ 1 {\displaystyle R_{s}\geq 1} , the win probability w {\displaystyle w} is always at least 1/ e = 0.367879... , and this lower bound is best possible .

  6. Template:Infobox probability distribution - Wikipedia

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

    Download as PDF; Printable version; ... The Template:Infobox probability distribution generates a right-hand side infobox, based on the specified parameters. To use ...

  7. Odds - Wikipedia

    en.wikipedia.org/wiki/Odds

    In probability theory, odds provide a measure of the probability of a particular outcome. Odds are commonly used in gambling and statistics.For example for an event that is 40% probable, one could say that the odds are "2 in 5", "2 to 3 in favor", or "3 to 2 against".

  8. Hypergeometric distribution - Wikipedia

    en.wikipedia.org/wiki/Hypergeometric_distribution

    In probability theory and statistics, the hypergeometric distribution is a discrete probability distribution that describes the probability of successes (random draws for which the object drawn has a specified feature) in draws, without replacement, from a finite population of size that contains exactly objects with that feature, wherein each draw is either a success or a failure.

  9. Monty Hall problem - Wikipedia

    en.wikipedia.org/wiki/Monty_Hall_problem

    Many probability text books and articles in the field of probability theory derive the conditional probability solution through a formal application of Bayes' theorem⁠ — among them books by Gill [51] and Henze. [52] Use of the odds form of Bayes' theorem, often called Bayes' rule, makes such a derivation more transparent. [34] [53]