This document is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. The copyright holder grants you permission to redistribute this document freely as a verbatim copy. Furthermore, the copyright holder permits you to develop any derived work from this document provided that the following conditions are met. a) The derived work acknowledges the fact that it is derived from this document, and maintains a prominent reference in the work to the original source. b) The fact that the derived work is not the original OpenMath document is stated prominently in the derived work. Moreover if both this document and the derived work are Content Dictionaries then the derived work must include a different CDName element, chosen so that it cannot be confused with any works adopted by the OpenMath Society. In particular, if there is a Content Dictionary Group whose name is, for example, `math' containing Content Dictionaries named `math1', `math2' etc., then you should not name a derived Content Dictionary `mathN' where N is an integer. However you are free to name it `private_mathN' or some such. This is because the names `mathN' may be used by the OpenMath Society for future extensions. c) The derived work is distributed under terms that allow the compilation of derived works, but keep paragraphs a) and b) intact. The simplest way to do this is to distribute the derived work under the OpenMath license, but this is not a requirement. If you have questions about this license please contact the OpenMath society at http://www.openmath.org. s_dist1 http://www.openmath.org/cd http://www.openmath.org/cd/s_dist1.ocd 2006-03-30 2004-03-30 3 1 Author: OpenMath Consortium SourceURL: https://github.com/OpenMath/CDs official This CD holds the definitions of the basic statistical functions used on random variables. It is intended to be `compatible' with the MathML elements representing statistical functions. mean application This symbol represents a unary function denoting the mean of a distribution. The argument is a univariate function to describe the distribution. That is, if f is the function describing the distribution. The mean is the expression integrate(x*f(x)) w.r.t. x over the range (-infinity,infinity). mean(f(X)) = int(x*f(x)) w.r.t. x over the range [-infinity,infinity] sdev application This symbol represents a unary function denoting the standard deviation of a distribution. The argument is a univariate function to describe the distribution. The standard deviation of a distribution is the arithmetical mean of the squares of the deviation of the distribution from the mean. The standard deviation of a distribution is the arithmetical mean of the squares of the deviation of the distribution from the mean. 2 variance application This symbol represents a unary function denoting the variance of a distribution. The argument is a function to describe the distribution. That is if f is the function which describes the distribution. The variance of a distribution is the square of the standard deviation of the distribution. The variance of a distribution is the square of the standard deviation of the distribution. 2 moment application This symbol represents a ternary function to denote the i'th moment of a distribution. The first argument should be the degree of the moment (that is, for the i'th moment the first argument should be i), the second argument is the value about which the moment is to be taken and the third argument is a univariate function to describe the distribution. That is, if f is the function which describe the distribution. The i'th moment of f about a is the integral of (x-a)^i*f(x) with respect to x, over the interval (-infinity,infinity). the i'th moment of f(X) about c = integral of (x-c)^i*f(x) with respect to x, over the interval (-infinity,infinity)