In article <[EMAIL PROTECTED]>,
Vadim and Oxana Marmer <[EMAIL PROTECTED]> wrote:
>You need to check (may be by simulations) if your test has any power to
>reject the null. If the power is low than get more subjects.
>On 12 Sep 2001, sylvie perera wrote:
>>
Stan Brown wrote:
> Perhaps you might want to
> define it the first time on that page: SEM = standard error of the
> mean.
Good point. Done.
=
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At 10:10 PM 9/12/01 -0400, Stan Brown wrote:
>[cc'd to previous poster; please follow up in newsgroup]
>
>Jerry Dallal <[EMAIL PROTECTED]> wrote in sci.stat.edu:
>
>One suggestion, if I may: I scratched my head for a moment over
>"SEM". At least in my course, I don't believe the textbook ever uses
You need to check (may be by simulations) if your test has any power to
reject the null. If the power is low than get more subjects.
On 12 Sep 2001, sylvie perera wrote:
> Hi,
>
> If a result is not significant, I realise this is because it may be due
> to chance.
>
> Is ther
[cc'd to previous poster; please follow up in newsgroup]
Jerry Dallal <[EMAIL PROTECTED]> wrote in sci.stat.edu:
>What you're trying to get at is
>answered in part by a confidence interval for the difference between
>the groups, which tells you what differences are consistent with the
>data.
>See
I wrote:
> What you're trying to get at is
> answered in part by a confidence interval for the difference between
^^
> the groups,
Meant to write mean difference.
=
Inst
sylvie perera wrote:
>
> Hi,
>
> If a result is not significant, I realise this is because it may
> be due to chance.
>
> Is there a way of telling if more subjects are needed or there
> actually is no difference between the groups?
This isn't quite the right qu
Hi,
If a result is not significant, I realise this is because it may be due to chance.
Is there a way of telling if more subjects are needed or there actually is no difference between the groups?
Thanks in advance
Sylvie.Get your FREE download of MSN Explorer at http://explorer.msn.com
