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st: Re: RE: Re: RE: Re: Memory


From   "Victor M. Zammit" <[email protected]>
To   <[email protected]>
Subject   st: Re: RE: Re: RE: Re: Memory
Date   Wed, 12 Nov 2008 18:58:54 +0100

By database for a t table I mean having enough t values to map the
confidence intervals associated with increments of t-values.I assume that
the closer the database is closer to infinity,ie large enough,the more
convergent the mapping gets to the values in the official t-table.

----- Original Message ----- 
From: "Nick Cox" <[email protected]>
To: <[email protected]>
Sent: Wednesday, November 12, 2008 6:47 PM
Subject: st: RE: Re: RE: Re: Memory


> That's removed one source of doubt. What remains is what you mean
precisely by a database for a t table, but go to the help for density
functions, and look under Student's t.
>
> Nick
> [email protected]
>
> Victor M. Zammit
>
> By infinite I mean a large enough number of samples of thirty each,that
> brings convergence to my results..The litmus test would be,convergence to
> the official t-table.
> If there is some analytic solution,that would be great too,but I do not
know
> where I could getthat from.
>
> Nick Cox
>
> > What do you mean by "infinite" precisely? There are various mathematical
> meanings, courtesy of Cantor, but I doubt that you mean any of them.
> >
> > Otherwise I can think of three answers to your question.
> >
> > 1. -help limits- tells you the limits your Stata has in terms of what it
> can do; your machine and OS probably cannot oblige.
> >
> > 2. You can set up a dataset with 30 observations and keep sending
results
> from a loop to a file outside Stata, but in terms of doing anything with
> those results in Stata you are back to answer 1.
> >
> > 3. What you are doing probably has an analytic solution so that
> computation is unnecessary. In particular, Stata's functions will surely
> print out a t-table better than any you can get by simulation.
>
> Victor M. Zammit
>
> > I need to t-test an infinit number of random samples of size 30 ,from an
> > infinite,normally distributed population.Each t-value is saved and then
> > appended together to form a database for t table.The problem is that I
get
> > constrained by memory regardless of the size of the memory in my Stata.I
> > have Version 9 .Is there a way of  getting  around this constrained.?
>
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