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- 771 bytes (133 words) - 13:32, 7 February 2009
- 163 bytes (21 words) - 19:45, 4 September 2009
- Auto-populated based on [[Special:WhatLinksHere/Statistical independence]]. Needs checking by a human.535 bytes (68 words) - 20:36, 11 January 2010
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- {{r|Statistical independence}}1 KB (158 words) - 12:56, 7 August 2024
- Auto-populated based on [[Special:WhatLinksHere/Statistical independence]]. Needs checking by a human.535 bytes (68 words) - 20:36, 11 January 2010
- ...sample is necessarily zero, and thus the residuals are necessarily ''not [[statistical independence|independent]]''. The sum of the errors need not be zero; the errors are in4 KB (642 words) - 12:00, 13 August 2024
- ...] and use the [[law of total probability]] to show how symmetry leads to [[statistical independence]] between the events "Car is behind Door 1" and "Host opens Door 3", when i ...1/2. Whether or not the car is behind the door not opened by the host is [[statistical independence | statistically independent]] of whether the host opens Door 2 or Door 3.12 KB (2,083 words) - 12:56, 7 August 2024
- ...ough the random values of a stochastic process at different times may be [[statistical independence|independent random variables]], in most commonly considered situations they12 KB (1,781 words) - 14:50, 7 December 2008
- ...u_X, \sigma^2_X)</math> and <math>Y \sim N(\mu_Y, \sigma^2_Y)</math> are [[statistical independence|independent]] normal [[random variable]]s, then: ...under certain conditions, the distribution of a sum of a large number of [[statistical independence|independent variables]] is approximately normal.46 KB (6,956 words) - 07:01, 9 June 2009
- ...case of the study of variables that are almost, but not quite, mutually [[statistical independence|independent]]. For example, the event that a random integer between one and27 KB (4,384 words) - 10:04, 12 September 2024