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  2. Template:Infobox probability distribution - Wikipedia

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

    The notation should include all the distribution parameters explained in the next cell. |parameters= — parameters of the distribution family (such as μ and σ 2 for the normal distribution). |support= — the support of the distribution, which may depend on the parameters.

  3. Template:Probability distributions - Wikipedia

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

    Template: Probability distributions. 15 languages. ... Download QR code; Print/export Download as PDF; Printable version; In other projects Wikidata item; Appearance.

  4. List of probability distributions - Wikipedia

    en.wikipedia.org/wiki/List_of_probability...

    The Birnbaum–Saunders distribution, also known as the fatigue life distribution, is a probability distribution used extensively in reliability applications to model failure times. The chi distribution. The noncentral chi distribution; The chi-squared distribution, which is the sum of the squares of n independent Gaussian random variables.

  5. Template:Infobox probability distribution/testcases - Wikipedia

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

    This is the template test cases page for the sandbox of Template:Infobox probability distribution Purge this page to update the examples. If there are many examples of a complicated template, later ones may break due to limits in MediaWiki ; see the HTML comment " NewPP limit report " in the rendered page.

  6. Template:Infobox probability distribution/doc - Wikipedia

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

    1 Example. 2 Usage. 3 Parameters. 4 Tracking category. Toggle the table of contents. Template: Infobox probability distribution/doc. Add languages. Add links ...

  7. 68–95–99.7 rule - Wikipedia

    en.wikipedia.org/wiki/68–95–99.7_rule

    Diagram showing the cumulative distribution function for the normal distribution with mean (μ) 0 and variance (σ 2) 1. These numerical values "68%, 95%, 99.7%" come from the cumulative distribution function of the normal distribution. The prediction interval for any standard score z corresponds numerically to (1 − (1 − Φ μ,σ 2 (z)) · 2).

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  9. Template:Probability fundamentals - Wikipedia

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

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