Search results

{{r|Random variable}}

{{r|Random variable}}

{{r|Random variable}}

{{r|Random variable}}

The probability that a normally distributed random variable ''X'' with mean μ and variance σ² exceeds ''x'' is

{{r|Random variable}}

Auto-populated based on [[Special:WhatLinksHere/Random variable]]. Needs checking by a human.

{{r|Random variable}}

*That the variance of the [[random variable]] describing the next event grows smaller and smaller. The income for month i can thus be modeled by a random variable <math>U_i=X_i+f(i)</math>, where <math>X_i</math> is the income from the

...]''. The sum of the errors need not be zero; the errors are independent [[random variable]]s if the individuals are chosen from the population independently. is a random variable distributed thus:

A '''stochastic process''' (or '''random process''') is a collection of [[random variable | random variables]] indexed by a set ''T'' ("time"). That is, a stochastic ...<math>\mathbb{R}^{T'}</math>. The distribution <math>P_{T'}</math> of this random variable is a probability measure on <math>\mathbb{R}^{T'}</math>; many properties o

...number|real]] line is given by the following formula, where ''X'' is any [[random variable]] with the distribution in question:

'''Example.''' A fair coin is tossed 10 times; the [[random variable]] <math>X</math> is the number of heads in these 10 tosses, and <math>Y</ma ...reat the conditional probability as a random variable, — a function of the random variable <math>X</math>, namely,

...ger-Verlag, p. 100.</ref>. A data sample is described by instances of a [[random variable]] of interest, such as a height, weight, polling results, test performance, ...rounded in [[probability theory]]) to learn something about the postulated random variable ''X'' and also its distribution ''F'' by collecting samples, for this parti

A '''random variable''' <math> X </math> is described by real numbers <math> x_1, \dots, x_n </m ''Professor'' (dealing with a random variable <math>X</math>): ...here we use the evident fact that <math> -1 \le \sin X

...ger-Verlag, p. 100.</ref>. A data sample is described by instances of a [[random variable]] of interest, such as a height, weight, polling results, test performance, ...rounded in [[probability theory]]) to learn something about the postulated random variable ''X'' and also its distribution ''F'' by collecting samples, for this parti

...ical]] technique used to explain [[variance|variability]] among observed [[random variable]]s in terms of fewer unobserved random variables called '''factors'''. The

...om variables|limiting distributions]] of several continuous and [[discrete random variable|discrete]] families of distributions. To indicate that a [[random variable]] ''X'' is normally distributed with mean <math>\mu</math> and variance <ma

...ought of a player's true skill as the average of that player's performance random variable, and showed how to estimate the average from results of player's games. The