# Random variable/Related Articles

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*See also changes related to Random variable, or pages that link to Random variable or to this page or whose text contains "Random variable".*

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- Almost sure convergence [r]: The probability that the given sequence of random variables converges is 1.
^{[e]} - Applied statistics [r]: the practice of collecting and interpreting numerical observations for the purpose of generating information.
^{[e]} - Characteristic function [r]: A function on a set which takes the value 1 on a given subset and 0 on its complement.
^{[e]} - Conditioning (probability) [r]: Conditional probabilities, conditional expectations and conditional distributions are treated on three levels.
^{[e]} - Confidence interval [r]: the range of a random variable, such as the mean of a sample, that — with a specified probability — contains the true value for the population.
^{[e]} - Errors and residuals in statistics [r]: Comparison of two related notions of mathematical statistics.
^{[e]} - Factor analysis [r]: Statistical technique used to explain variability among observed random variables in terms of fewer unobserved random variables called
*factors*.^{[e]} - Measurable function [r]: Function on a measurable space to a measurable space such that the inverse image of a measurable set is a measurable set.
^{[e]} - Measurable space [r]: Set together with a sigma-algebra of subsets of this set.
^{[e]} - Measure space [r]: Set together with a sigma-algebra of subsets of the set and a measure defined on this sigma-algebra.
^{[e]} - Normal distribution [r]: a symmetrical bell-shaped probability distribution representing the frequency of random variations of a quantity from its mean.
^{[e]} - Sigma algebra [r]: A formal mathematical structure intended among other things to provide a rigid basis for measure theory and axiomatic probability theory.
^{[e]} - Statistics theory [r]: A branch of mathematics that specializes in enumeration, or counted, data and their relation to measured data.
^{[e]} - Stochastic convergence [r]: A mathematical concept intended to formalize the idea that a sequence of essentially random or unpredictable events sometimes is expected to settle into a pattern.
^{[e]} - Stochastic process [r]: Family of random variables, dependent upon a parameter which usually denotes time.
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