8 relations: Chernoff bound, Connexions, Cumulative distribution function, Elementary function, Error function, Integration by substitution, Quotient rule, Statistics.

## Chernoff bound

In probability theory, the Chernoff bound, named after Herman Chernoff but due to Herman Rubin, gives exponentially decreasing bounds on tail distributions of sums of independent random variables.

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## Connexions

Connexions, now called OpenStax, is a global repository of educational content provided by volunteers.

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## Cumulative distribution function

In probability theory and statistics, the cumulative distribution function (CDF), or just distribution function, describes the probability that a real-valued random variable X with a given probability distribution will be found to have a value less than or equal to x. In the case of a continuous distribution, it gives the area under the probability density function from minus infinity to x. Cumulative distribution functions are also used to specify the distribution of multivariate random variables.

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## Elementary function

In mathematics, an elementary function is a function of one variable which is the composition of a finite number of arithmetic operations, exponentials, logarithms, constants, and solutions of algebraic equations (a generalization of ''n''th roots).

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## Error function

In mathematics, the error function (also called the Gauss error function) is a special function (non-elementary) of sigmoid shape that occurs in probability, statistics, and partial differential equations describing diffusion.

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## Integration by substitution

In calculus, integration by substitution, also known as u-substitution, is a method for finding integrals.

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## Quotient rule

In calculus, the quotient rule is a method of finding the derivative of a function that is the quotient of two other functions for which derivatives exist.

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## Statistics

Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data.

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