In addition to being confused about many things, I got out of bed far too
early for a Saturday ;) I see I misunderstood the question, and it
certainly doesn't hurt to go back to text books now and again...
> x<-cbind(rnorm(1000),rnorm(1000),rnorm(1000))
> m<-rowMeans(x)
> s<-apply(x,1,sd)
> qqnorm
On 10/26/13 21:20, Tsjerk Wassenaar wrote:
> Of course. But the point is that this would happen with summing
> samples from any distribution.
***What*** would happen? You are confused about the t-distribution.
(And the CLT and probably
a lot of other things.) Back to the text-books.
che
Of course. But the point is that this would happen with summing samples
from any distribution.
Cheers,
Tsjerk
On Sat, Oct 26, 2013 at 10:14 AM, Rolf Turner wrote:
>
>
> Absolutely nothing to do with the CLT. If X_1, ..., X_n are i.i.d. N(mu,
> sigma^2) then
> Xbar is N(mu,sigma^2/n). Exactly
Absolutely nothing to do with the CLT. If X_1, ..., X_n are i.i.d.
N(mu, sigma^2) then
Xbar is N(mu,sigma^2/n). Exactly. No asymptotics, no approximations,
no CLT.
cheers,
Rolf Turner
On 10/26/13 20:17, Tsjerk Wassenaar wrote:
> Hi :)
>
> Try this with other distributions too...
Hi :)
Try this with other distributions too... And then search for 'central limit
theorem'.
Cheers,
Tsjerk
On Fri, Oct 25, 2013 at 4:48 PM, Kramer, Christian <
christian.kra...@uibk.ac.at> wrote:
> Hi there,
>
> I have found a strange behavior in R that puzzles me - maybe it is a bug
> or a b
That would be an expected result. Recommend that you hit the books or use a
search engine as basic theory like this is off topic here.
---
Jeff NewmillerThe . . Go Live...
DCN:
Hi there,
I have found a strange behavior in R that puzzles me - maybe it is a bug or a
basic scientific misunderstanding of mine… anyway, I would highly appreciate
some feedback on this, since I did not find anything on the internet.
I am trying to simulate a t-distribution by adding up normal
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