On 28-Nov-03 Torsten Hothorn wrote:
yes, thats my understanding too. The enumerative techniques as
you call it condition on the data actually observed and determine
the null distribution of the associated test statistic from the data.
In contrast, unconditional procedures require some
Hello,
thanks for the replies to this subject. I'm using a fisher.test to test if
the proportions of my 2 samples are different (see Ted's example below).
The assumption was that the two samples are from the same population and that
they may contain a different number of positives (due to
On 28-Nov-03 Torsten Hothorn wrote:
yes, thats my understanding too. The enumerative techniques as
you call it condition on the data actually observed and determine
the null distribution of the associated test statistic from the data.
In contrast, unconditional procedures require some
On Thu, 27 Nov 2003, Spencer Graves wrote:
Hi, Torsten:
Thanks for the reference to library(exactRankTests). That seems
like a reasonable alternative to prop.test with small samples.
However, aren't exact tests and the related bootstrap
methodology what Deming called
On 11/27/03 17:04, [EMAIL PROTECTED] wrote:
Hello,
I'm looking for some guidance with the following problem:
I've 2 samples A (111 items) and B (10 items) drawn from the same unknown
population. Witihn A I find 9 positives and in B 0 positives. I'd like to
know if the 2 samples A and B are
Hello,
I'm looking for some guidance with the following problem:
I've 2 samples A (111 items) and B (10 items) drawn from the same unknown
population. Witihn A I find 9 positives and in B 0 positives. I'd like to
know if the 2 samples A and B are different, ie is there a way to find out
Hi, Torsten:
Thanks for the reference to library(exactRankTests). That seems
like a reasonable alternative to prop.test with small samples.
However, aren't exact tests and the related bootstrap
methodology what Deming called enumerative techniques, more relating
to describing a
