Wolfram Functions Site lists 300,000 formulas and probability identities for these functions.

This means that putting all these formulas into a book would easily distribution give a 1,200-page book (even examples without including any of the plots of the distributions).Some of these above distributions, such as the Bernoulli and Poisson distributions, are well known and some distribution are not so well known, examples but a quick web search points to some papers about them (e.g.Hypergeometric Probability Distribution, back to Top, hypergeometric probability distribution is similar to a binomial distribution but without replacement in examples this case.For example, relation between sin( x ) and cos( x ), series representations of the Beta function, relation between BesselJ( n, x ) and AiryAi( x ), differential equation for ellipticF(phi, m ), and examples of complicated indefinite integrals containing erf.Here is what the.cdf document looks like after opening.The Univariate Probability Explorer has a variety of other features, such as generating sample random numbers for a given distribution; the possibility to display all results in Mathematica StandardForm so you can easily copy and paste them and carry out computations with the formulas;.The goal of WolframAlpha is to answer quantitative questions of any form.Mathematica 7 distribution knew 42 probability distributions; Mathematica 9 knows over 130 (parametric) probability distributions. For instance, here is part of the result that compares the PDFs for all discrete distributions defined on a finite interval.

So, how to present such a large amount of formulas in a comprehensible way?

The next screen shot shows various live generalized moments for the Poisson distribution together with some links for the occurring special functions.The McCullagh distribution or the Wallenius distribution ).But WolframAlpha also knows about many special functions that are not.We carried out a detailed literature search, and found more than 500 different parametric univariate probability distributions.And some of these integrals and sums can be quite complicated.Now, let sheet us study how to go about further on hypergeometric probability distribution.This section serves as a handy set of definitions and connection formulas.Therefore the probability of 2 ruling party members in the committee (or 3 opposition party members in the committee) is, P(X 2) 12C2 * (20 game 12)C(5 2) / 20C5 12C2 * 8C3 / 20C5 frac.238.The total number of items are classified into two groups, marked (M) and unmarked (N M).As much as possible, we expressed these through named mathematical functions.Solution: This is a problem on multivariate hypergeometric distribution.He hypergeometric distribution is a discrete probability distribution that describes the number of successes in a sequence of n draws from valentine a finite population without replacement.Similar to special functions, there date also exists a whole zoo interior of probability distributions due to historical reasons and their use in specialized application areas.Back to Top, server in statistics it is always important to see the average expected deviation from the mean on the whole.

So, in the first outcome x items are drawn in different combinations from a total of M, limiting the scope for the second outcome for drawing only (n x) items from the available total of (N hypergeometric probability distribution examples and solutions M).

Of (0, n M N min.

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