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- The '''normal distribution''', also called '''Gaussian distribution''' by scientists (named after [[Ca The '''standard normal distribution''' is the normal distribution with a [[mean]] of zero and a [[variance]] of one (the green curves in the46 KB (6,956 words) - 07:01, 9 June 2009
- 12 bytes (1 word) - 04:14, 11 November 2007
- 163 bytes (20 words) - 12:25, 1 July 2009
- 575 bytes (70 words) - 07:35, 16 April 2010
Page text matches
- {{r|Normal distribution}}670 bytes (76 words) - 07:31, 16 April 2010
- A function associated with the cumulative distribution function of the normal distribution.127 bytes (15 words) - 11:59, 29 December 2008
- A function associated with the cumulative distribution function of the normal distribution.127 bytes (15 words) - 12:03, 29 December 2008
- #redirect [[Normal distribution]]33 bytes (3 words) - 08:43, 5 June 2009
- #redirect[[Normal distribution]]32 bytes (3 words) - 04:51, 18 November 2007
- #REDIRECT[[normal distribution]]32 bytes (3 words) - 16:07, 20 April 2007
- {{:Normal distribution/Related Articles}}41 bytes (4 words) - 07:31, 16 April 2010
- {{r|Normal distribution}}674 bytes (82 words) - 15:40, 11 January 2010
- An alternative term for [[Normal distribution]]; named after [[Carl Friedrich Gauss]].122 bytes (14 words) - 07:36, 16 April 2010
- {{r|Normal distribution}}619 bytes (77 words) - 19:36, 11 January 2010
- {{r|Normal distribution}}369 bytes (44 words) - 10:59, 2 July 2009
- {{r|Normal distribution}}687 bytes (82 words) - 20:38, 11 January 2010
- ...red to as "peakiness". It is sometimes adjusted to put the kurtosis of a ''normal distribution'' at zero (although some mathematicians then call it "excess kurtosis"). Po464 bytes (64 words) - 16:24, 23 May 2009
- {{r|Normal distribution}}306 bytes (39 words) - 11:43, 7 August 2008
- ...is three standard deviations away from the mean is greater than it is in a normal distribution.214 bytes (35 words) - 02:29, 22 May 2009
- {{r|Normal distribution}}618 bytes (75 words) - 15:40, 11 January 2010
- ...nction]] associated with the [[cumulative distribution function]] of the [[normal distribution]].671 bytes (89 words) - 12:00, 29 December 2008
- {{r|Normal distribution}}717 bytes (87 words) - 16:38, 11 January 2010
- ...s, calculations for the CI for rates and proportions may be based on the [[normal distribution]].<ref name="isbn0-471-26370-2">{{cite book |author=Fleiss, Joseph L. |titl The equation using the normal distribution is:<ref name="pmid3082422">{{cite journal |author=Gardner MJ, Altman DG |ti2 KB (264 words) - 00:36, 24 January 2011
- [[Gaussian distribution]] - Also known as the normal distribution.3 KB (390 words) - 07:22, 26 September 2007
- {{r|Normal distribution}}542 bytes (64 words) - 16:48, 11 January 2010
- * from a (theoretical) probability measure (such as the [[normal distribution|normal]] or [[Poisson distribution]]), or For most standard continuous distributions (like the [[normal distribution]]) the4 KB (543 words) - 08:41, 21 January 2010
- {{r|Normal distribution}}529 bytes (68 words) - 16:23, 11 January 2010
- {{r|Normal distribution}}535 bytes (68 words) - 20:36, 11 January 2010
- {{r|Normal distribution}}498 bytes (64 words) - 15:56, 11 January 2010
- {{r|Normal distribution}}663 bytes (84 words) - 19:23, 11 January 2010
- {{r|Normal distribution}}710 bytes (90 words) - 19:54, 11 January 2010
- ...al'' (1992) 'Evidence that [[dyslexia]] may represent the lower tail of a normal distribution of reading ability.' ''The New England Journal of Medicine'' 326: 145-150.842 bytes (109 words) - 03:59, 10 October 2009
- {{r|Normal distribution}}814 bytes (102 words) - 19:54, 11 January 2010
- {{r|Normal distribution}}936 bytes (115 words) - 12:57, 15 March 2024
- {{r|Normal distribution}}833 bytes (114 words) - 17:26, 11 January 2010
- {{r|Normal distribution}}993 bytes (129 words) - 20:50, 11 January 2010
- {{r|Normal distribution}}2 KB (262 words) - 19:07, 11 January 2010
- {{r|Normal distribution}}889 bytes (141 words) - 12:04, 29 December 2008
- If we assume a [[normal distribution|normally distributed]] population with mean μ and [[standard deviation]] �4 KB (662 words) - 11:40, 26 September 2007
- ...w a distribution that gradually takes on more and more similarity to the [[normal distribution|gaussian distribution]] . ...les <math>Z_n </math> becoming distributed more and more like the standard normal distribution as n increases.11 KB (1,680 words) - 19:57, 29 September 2020
- * Returns follow a normal distribution2 KB (242 words) - 20:23, 19 February 2010
- ...dels assume that risks can be represented by the symmetrical bell-shaped [[normal distribution]], and can give inaccurate results if the true distribution has a "fat tail5 KB (801 words) - 08:31, 11 January 2010
- 2 KB (316 words) - 16:49, 24 December 2010
- ...thm, square root, reciprocal, or other function if the data does not fit a normal distribution.<ref name="pmid8605469">{{cite journal |author=Bland JM, Altman DG |title=T9 KB (1,291 words) - 04:36, 27 June 2009
- * Tracking error assumes a normal distribution. As beeing showed by recent works, return distribtions are not normal and t4 KB (605 words) - 23:37, 14 February 2010
- ...dels assume that risks can be represented by the symmetrical bell-shaped [[normal distribution]], and can give inaccurate results if the true distribution has a "fat tail7 KB (1,053 words) - 05:17, 8 March 2010
- Another classical object of probability theory is the normal distribution. In the discrete framework one may speak about a sequence of discrete distr18 KB (2,797 words) - 14:37, 30 January 2011
- The '''normal distribution''', also called '''Gaussian distribution''' by scientists (named after [[Ca The '''standard normal distribution''' is the normal distribution with a [[mean]] of zero and a [[variance]] of one (the green curves in the46 KB (6,956 words) - 07:01, 9 June 2009
- ...thm, square root, reciprocal, or other function if the data does not fit a normal distribution.<ref name="pmid8605469">{{cite journal |author=Bland JM, Altman DG |title=T15 KB (2,373 words) - 12:26, 20 February 2021
- {{r|Normal distribution}}6 KB (786 words) - 19:51, 7 March 2024
- Related to the [[normal distribution]]:8 KB (1,184 words) - 14:58, 8 December 2009
- ...nly used model type. It assumes that the air pollutant dispersion has a [[Normal distribution|Gaussian distribution]], meaning that the pollutant distribution has a norm19 KB (2,906 words) - 10:19, 30 July 2023
- ...nly used model type. It assumes that the air pollutant dispersion has a [[Normal distribution|Gaussian distribution]], meaning that the pollutant distribution has a norm19 KB (2,906 words) - 10:19, 30 July 2023
- [[Image:Pascal's Triangle, Normal Curve.png|center|thumb|300px|The [[Normal distribution|normal curve]], a limit case of any high-order row within the Pascal's Tria ...rl Friedrich Gauss|Gauss]], the famous German mathematician, studied the [[Normal distribution|normal curve]]<ref name="boursin">{{fr}} Jean-Louis Boursin, ''Les Structur32 KB (4,192 words) - 18:42, 3 March 2024
- ...l=http://www.itl.nist.gov/div898/handbook/eda/section3/eda3661.htm|chapter=Normal Distribution |title=NIST/SEMATECH e-Handbook of Statistical Methods |author=Anonymous |a18 KB (2,448 words) - 05:50, 13 June 2011
- ...ns per paper, and the [[probability distribution]] of that number is not [[Normal distribution|Gaussian]]. Most papers published in a high impact factor journal will ulti24 KB (3,547 words) - 19:52, 15 September 2014
- See [[normal distribution#Generating values for normal random variables|generating values for normal23 KB (3,650 words) - 05:49, 8 April 2024
- ...e" as that found in the normalizing factor of the error function and the [[normal distribution]].32 KB (5,024 words) - 12:05, 22 December 2008
- *The [[log-normal distribution]] equations used in the field of [[statistics]] are logarithmic functions.19 KB (3,039 words) - 12:51, 7 March 2023
- ...nclude that the informal term, in mathematical statistics, for the bimodal normal distribution is the "brassiere curve"?22 KB (3,494 words) - 05:02, 8 March 2024
- ...hematicians bridge the wide gap between useful notions (say, "ellipse" or "normal distribution") and the undefined primitives by a large and complicated system of definit34 KB (5,174 words) - 21:32, 25 October 2013