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

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

    Original file (1,275 × 1,650 pixels, file size: 6.82 MB, MIME type: application/pdf, 156 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  3. 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.

  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. Distribution of the product of two random variables - Wikipedia

    en.wikipedia.org/wiki/Distribution_of_the...

    A product distribution is a probability distribution constructed as the distribution of the product of random variables having two other known distributions. Given two statistically independent random variables X and Y , the distribution of the random variable Z that is formed as the product Z = X Y {\displaystyle Z=XY} is a product distribution .

  6. Convergence of random variables - Wikipedia

    en.wikipedia.org/wiki/Convergence_of_random...

    However, for a given sequence {X n} which converges in distribution to X 0 it is always possible to find a new probability space (Ω, F, P) and random variables {Y n, n = 0, 1, ...} defined on it such that Y n is equal in distribution to X n for each n ≥ 0, and Y n converges to Y 0 almost surely.

  7. Student's t-distribution - Wikipedia

    en.wikipedia.org/wiki/Student's_t-distribution

    Earliest Known Uses of Some of the Words of Mathematics (S) (Remarks on the history of the term "Student's distribution") Rouaud, M. (2013), Probability, Statistics and Estimation (PDF) (short ed.) First Students on page 112. Student's t-Distribution, Archived 2021-04-10 at the Wayback Machine

  8. Maximum entropy probability distribution - Wikipedia

    en.wikipedia.org/wiki/Maximum_entropy...

    Every probability distribution is trivially a maximum entropy probability distribution under the constraint that the distribution has its own entropy. To see this, rewrite the density as p ( x ) = exp ⁡ ( ln ⁡ p ( x ) ) {\displaystyle p(x)=\exp {(\ln {p(x)})}} and compare to the expression of the theorem above.

  9. Weibull distribution - Wikipedia

    en.wikipedia.org/wiki/Weibull_distribution

    In probability theory and statistics, the Weibull distribution / ˈ w aɪ b ʊ l / is a continuous probability distribution. It models a broad range of random variables, largely in the nature of a time to failure or time between events. Examples are maximum one-day rainfalls and the time a user spends on a web page.

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