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  2. 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 ...

  3. 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

  4. Category:Statistical charts and diagrams - Wikipedia

    en.wikipedia.org/wiki/Category:Statistical...

    Download as PDF; Printable version; ... Bar chart templates - to make bar charts. ... Probability plot correlation coefficient plot;

  5. Template:Probability fundamentals - Wikipedia

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

    Download as PDF; Printable version; ... Probability distribution. Bernoulli distribution; Binomial distribution; ... Template documentation

  6. File:Normal Distribution PDF.svg - Wikipedia

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

    English: A selection of Normal Distribution Probability Density Functions (PDFs). Both the mean, μ , and variance, σ² , are varied. The key is given on the graph.

  7. Template:Theory of probability distributions - Wikipedia

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

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

  8. 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.

  9. Shape of a probability distribution - Wikipedia

    en.wikipedia.org/wiki/Shape_of_a_probability...

    The shape of a distribution will fall somewhere in a continuum where a flat distribution might be considered central and where types of departure from this include: mounded (or unimodal), U-shaped, J-shaped, reverse-J shaped and multi-modal. [1] A bimodal distribution would have two high points rather than one. The shape of a distribution is ...