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  2. Sampling probability - Wikipedia

    en.wikipedia.org/wiki/Sampling_probability

    In statistics, in the theory relating to sampling from finite populations, the sampling probability (also known as inclusion probability) of an element or member of the population, is its probability of becoming part of the sample during the drawing of a single sample. [1] For example, in simple random sampling the probability of a particular ...

  3. List of mathematical examples - Wikipedia

    en.wikipedia.org/wiki/List_of_mathematical_examples

    This page will attempt to list examples in mathematics. To qualify for inclusion, an article should be about a mathematical object with a fair amount of concreteness. Usually a definition of an abstract concept, a theorem, or a proof would not be an "example" as the term should be understood here (an elegant proof of an isolated but particularly striking fact, as opposed to a proof of a ...

  4. Inclusion–exclusion principle - Wikipedia

    en.wikipedia.org/wiki/Inclusion–exclusion...

    Note that the number of shuffles with at least p values correct only depends on p, not on the particular values of . For example, the number of shuffles having the 1st, 3rd, and 17th cards in the correct position is the same as the number of shuffles having the 2nd, 5th, and 13th cards in the correct positions.

  5. Inclusion (logic) - Wikipedia

    en.wikipedia.org/wiki/Inclusion_(logic)

    In logic and mathematics, inclusion is the concept that all the contents of one object are also contained within a second object. [1]For example, if m and n are two logical matrices, then

  6. Probability space - Wikipedia

    en.wikipedia.org/wiki/Probability_space

    These two non-atomic examples are closely related: a sequence (x 1, x 2, ...) ∈ {0,1} ∞ leads to the number 2 −1 x 1 + 2 −2 x 2 + ⋯ ∈ [0,1]. This is not a one-to-one correspondence between {0,1} ∞ and [0,1] however: it is an isomorphism modulo zero , which allows for treating the two probability spaces as two forms of the same ...

  7. Inclusion (Boolean algebra) - Wikipedia

    en.wikipedia.org/wiki/Inclusion_(Boolean_algebra)

    In Boolean algebra, the inclusion relation is defined as ′ = and is the Boolean analogue to the subset relation in set theory.Inclusion is a partial order.. The inclusion relation < can be expressed in many ways:

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  9. Sample space - Wikipedia

    en.wikipedia.org/wiki/Sample_space

    A visual representation of a finite sample space and events. The red oval is the event that a number is odd, and the blue oval is the event that a number is prime. A sample space can be represented visually by a rectangle, with the outcomes of the sample space denoted by points within the rectangle.