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  2. Template:Infobox probability distribution/doc - Wikipedia

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  3. Template:Probability distributions - Wikipedia

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

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

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    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.

  5. Template:Probability fundamentals - Wikipedia

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

    Print/export Download as PDF; Printable version; In other projects ... Pareto distribution; Poisson distribution; Probability measure; Random variable.

  6. Template:Infobox probability distribution - Wikipedia

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

    The Template:Infobox probability distribution generates a right-hand side infobox, based on the specified parameters. To use this template, copy the following code in your article and fill in as appropriate:

  7. Probability distribution - Wikipedia

    en.wikipedia.org/wiki/Probability_distribution

    A discrete probability distribution is applicable to the scenarios where the set of possible outcomes is discrete (e.g. a coin toss, a roll of a die) and the probabilities are encoded by a discrete list of the probabilities of the outcomes; in this case the discrete probability distribution is known as probability mass function.

  8. Template : Durrett Probability Theory and Examples 5th ...

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

    {{Durrett Probability Theory and Examples 5th Edition}} will display: Durrett, Richard (2019). Probability: Theory and Examples (PDF). Cambridge Series in Statistical and Probabilistic Mathematics. Vol. 49 (5th ed.). Cambridge New York, NY: Cambridge University Press. ISBN 978-1-108-47368-2. OCLC 1100115281

  9. Cochran's theorem - Wikipedia

    en.wikipedia.org/wiki/Cochran's_theorem

    where F 1,n − 1 is the F-distribution with 1 and n − 1 degrees of freedom (see also Student's t-distribution). The final step here is effectively the definition of a random variable having the F-distribution.