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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

...e any measure within a data sample. This would be some quantification of a random variable, or variables, of interest, such as a height, weight, polling results, test ...ble function]] of the data samples, the latter being realizations of the [[random variable|random variables]] which are of interest such as the height of people, poll

...mpute the confidence interval from assumptions on the distribution of that random variable. <br> I don't know if using /Related_Articles as a glossary is part of the ...your help. I think you are saying that I should restore the deleted "of a random variable" - so I will do so. I am sure you know best (although I am not sure that I

...tribution)" I bother: for many readers "distribution" is associated with a random variable only; they will think you speak about two identically distributed random va

...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