Mail Archive Search: <+subject:/^(?:^\s*(re|sv|fwd|fw)[\[\]\d]*[:>-]+\s*)*Generate\s+random\s+numbers\s+knowing\s+median\s+and\s*$/>

Results:

References: [ +subject:/^(?:^\s*(re|sv|fwd|fw)[\[\]\d]*[:>-]+\s*)*Generate\s+random\s+numbers\s+knowing\s+median\s+and\s*$/: 2 ]

Total 2 documents matching your query.

1. Re: Generate random numbers knowing median and (score: 1): Author: "Charles Anderson" <Charles.Anderson@dnr.state.mn.us>; Date: Thu, 04 May 2006 10:05:05 -0500; The mean of a normal distribution is equal to the median. The upper quartile falls at z = qnorm(0.75) on a standard normal distribution (mean=0, sd=1), thus you can calculate yoursd = z * (yourupperq; /archives/html/s-news/2006-05/msg00016.html (10,658 bytes)
2. Re: Generate random numbers knowing median and (score: 1): Author: "Dr. Takashi Kikuchi" <mhs208@bangor.ac.uk>; Date: Fri, 05 May 2006 09:43:26 +0100; Dear All I would like to make my question more clear. If mean, median and inter-quartiles are known but mean is not equal to median, it may be natural to think that the normal distribution for the da; /archives/html/s-news/2006-05/msg00022.html (9,847 bytes)

Current List: 1 - 2
Page: [1]