5 of 10 volunteers are randomly selected to receive self-defense training. The
other 5 receive no training. At the end of the training period, all subjects
complete a self-confidence questionnaire.
a.) Is there a difference in self-confidence between the 2 groups (p.01)?
b.) What are the
- I have a comment on an offhand remark of Glen's, at the start of
his interesting posting -
On Tue, 07 Dec 1999 15:58:11 +1100, Glen Barnett
[EMAIL PROTECTED] wrote:
Alex Yu wrote:
Disadvantages of non-parametric tests:
Losing precision: Edgington (1995) asserted that when more
I believe I've heard (1-r^2) called the "coefficient of alienation," but I
can't think of any references...
Gaurang Mehta wrote:
I am looking for the coefficient name for (1-r^2). I know r^2 is the
Coefficient of Determination, but I do not know the name of the (1-r^2)
coefficient.
Any
I suspect most readers (including myself) would prefer the more simple and clear terms
"explained variance" and "unexplained variance." I suggest leaving the term
alienation to Karl Marx's Political-Economy.
Burke Johnson
Mark ( [EMAIL PROTECTED]) write:
I have a problem that puzzles me. It's a theorem that is listed in an
inference book. Here it is:
If a random sample with size two is taken from a distribution with
positive variance and if the sum and the difference of the two
components of that sample
On 8 Dec 1999, Luv 2 muah 143 wrote:
5 of 10 volunteers are randomly selected to receive self-defense training.
The other 5 receive no training. At the end of the training period, all
subjects complete a self-confidence questionnaire.
a.) Is there a difference in self-confidence
Mike,
With randomization pre, it is not necessary to take a pre-intervention
measurement. Test the difference in confidence following the training. If
it is significant, there is a difference. Decide what direction it is in
and attribute the difference to the training. You can make this
Frank E Harrell Jr wrote:
Alex Yu wrote:
Disadvantages of non-parametric tests:
Losing precision: Edgington (1995) asserted that when more precise
measurements are available, it is unwise to degrade the precision by
transforming the measurements into ranked data.
Rich Ulrich wrote:
- In my vocabulary, these days, "nonparametric" starts out with data
being ranked, or otherwise being placed into categories -- it is the
infinite parameters involved in that sort of non-reversible re-scoring
which earns the label, nonparametric. (I am still trying to
