Paul Jones <[EMAIL PROTECTED]> wrote in message
news:<[EMAIL PROTECTED]>...
> There was some research recently linking heart attacks with
> Marijuana smoking.
>
> I'm trying to work out the correlation and, most
> importantly, its statistical significance.
>
> In essence the problem comes down
In article <[EMAIL PROTECTED]>,
[EMAIL PROTECTED] (Eamon) wrote:
> (c) Reduced motor co-ordination, e.g. when driving a car
>
Numerous studies have shown that marijuana actually improves driving
ability. It makes people more attentive and less aggressive. You could
look it up.
==
On Fri, 22 Jun 2001 18:45:52 GMT, Steve Leibel <[EMAIL PROTECTED]>
wrote:
> In article <[EMAIL PROTECTED]>,
> [EMAIL PROTECTED] (Eamon) wrote:
>
> > (c) Reduced motor co-ordination, e.g. when driving a car
> >
>
> Numerous studies have shown that marijuana actually improves driving
> ability
Calculation of eigenvalues and eigenvalues requires no assumption.
However evaluation of the results IMHO implicitly assumes at least a
unimodal distribution and reasonably homogeneous variance for the same
reasons as ANOVA or regression. So think of th consequencesof calculating
means and varian
"dennis roberts" <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
...
> keep in mind that if the data set is symmetrical ... then, trimming really
> accomplishes nothing ... when it comes to the mean ... even if there are
> extreme values ...
This isn't quite co
In article <[EMAIL PROTECTED]>,
Rich Ulrich <[EMAIL PROTECTED]> wrote:
> On Fri, 22 Jun 2001 18:45:52 GMT, Steve Leibel <[EMAIL PROTECTED]>
> wrote:
>
> > In article <[EMAIL PROTECTED]>,
> > [EMAIL PROTECTED] (Eamon) wrote:
> >
> > > (c) Reduced motor co-ordination, e.g. when driving a car
>
Can anybody give me a hint about this problem?
Let the random variables X1,...,Xn be independent and let M be the index
of the maximum among them (i.e. M=i implies Xi >= X1,...,Xn).
We want to find nice formulas that calculate the distribution of M from
the distributions of X1...Xn, that we supp
In article <[EMAIL PROTECTED]>,
Robert Ehrlich <[EMAIL PROTECTED]> wrote:
>Calculation of eigenvalues and eigenvalues requires no assumption.
>However evaluation of the results IMHO implicitly assumes at least a
>unimodal distribution and reasonably homogeneous variance for the same
>reasons as A
On Thu, 21 Jun 2001 21:14:44 -0700, Chas F Brown
<[EMAIL PROTECTED]> wrote:
>
>
>"David C. Ullrich" wrote:
>>
>> On Fri, 15 Jun 2001 15:23:03 +0100, Paul Jones
>> <[EMAIL PROTECTED]> wrote:
>>
>> >"David C. Ullrich" wrote:
>> >>
>> >> But analyzing it this way simply makes no sense. Those
>> >>
Marc wrote:
>
> As a part of a report
> I have to perform a meta-analysis of
> some clinical trials.
> These trials report the median effect in the
> treatment group and the median effect in the control group
> (days of hospitalization). P-values from Mann-Whitney U-Tests
> are reported and the n
10 matches
Mail list logo