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From |
"vmz@vol.net.mt" <vmz@vol.net.mt> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
Re: st: Number of values in Gaussian Normal Distribution |

Date |
Mon, 05 Oct 2009 19:11:04 +0100 |

Thank you very much for acknowledging my query. I am doing this ,because I am trying to understanding a little better ,the concept of Gaussian Normal Distribution,given that it is what confidence intervals,and hypothesis testing ,boils down to. I really do not think that it is a fruitless enterprise,to get your hands a little dirty on such a pivoting concept. I would like to thank you for the simulation that you have provided.I adjusted it somewhat to conform to version 9,since I do not have version 10 yet,where I have set obs 60000 and coded gen `z' = invnorm(uniform()),and set reps(10000) which have given me 5.859 . I am tempted to think,however that if I run this for a million years ,I wouldn't get anything close to,infinity. On 5/10/2009, "Maarten buis" <maartenbuis@yahoo.co.uk> wrote: >--- On Mon, 5/10/09, vmz@vol.net.mt wrote: >> If I understand correctly,if the gap,between two values in sequence, >> generated by Stata,were a lot smaller, to infinitely smaller, I would >> have gotten ,a lot more than 68518 values ,to an infinite (uncountable) >> number of values ,for the points between 0 and 00004. With regards to >> the farthest maximum point that I was getting ,from the thousands and >> thousands of draws that I took,that was 6.23026 ,would that be a lot >> larger ,to infinitely large,as well ? > >I don't understand what you want to achieve. The range of values on which >the normal distribution is defined is -inifinity to +infinity. Even if it >where defined on a finite range it can still take all values in between, >and there are an infinite number of possible values between two points >that are not exactly the same. So for both reasons the normal distribution can take an infinite number of values. > >Can you give us a bit more background about what you are trying to do? > >--Maarten > >-------------------------- >Maarten L. Buis >Institut fuer Soziologie >Universitaet Tuebingen >Wilhelmstrasse 36 >72074 Tuebingen >Germany > >http://www.maartenbuis.nl >-------------------------- > > > > >* >* For searches and help try: >* http://www.stata.com/help.cgi?search >* http://www.stata.com/support/statalist/faq >* http://www.ats.ucla.edu/stat/stata/ > > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Number of values in Gaussian Normal Distribution***From:*Maarten buis <maartenbuis@yahoo.co.uk>

**AW: st: Number of values in Gaussian Normal Distribution***From:*"Martin Weiss" <martin.weiss1@gmx.de>

**References**:**Re: st: Number of values in Gaussian Normal Distribution***From:*Maarten buis <maartenbuis@yahoo.co.uk>

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