Jack Cohen [The Earth is Round (p < .05), American Psychologist,
1994, 49, 997-1003] made a distinction between a NULL hypothesis and a NIL
hypothesis.  The NULL hypothesis is that which is being directly tested.
With the so-called "parametric" tests, this is the hypothesis that specifies
an exact value for the tested parameter (such as mu = 10, mu <= 10, or mu >=
10) rather than not that (such as mu NE 10, mu > 10, or mu < 10).  The NIL
hypothesis is a null hypothesis that specifies a zero difference or zero
effect, such as (mu1 - mu2) = 0, rho = 0, phi = 0, eta = 0, and so on.
IMHO, NHST (null hypothesis statistical testing, also known as Statistical
Hypothesis Inference Testing, SHIT -- Jack Cohen's wit) is most easy to
defend when null hypotheses are not nil hypothesis but rather are a
parametric prediction of the theoretical model being tested, for example,
the proportion of items correctly recalled under the conditions employed in
this experiment is .75.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Karl L. Wuensch, Department of Psychology,
East Carolina University, Greenville NC  27858-4353
Voice:  252-328-4102     Fax:  252-328-6283
[EMAIL PROTECTED]
http://core.ecu.edu/psyc/wuenschk/klw.htm


-----Original Message-----
From: Donald Burrill [mailto:[EMAIL PROTECTED] 
Sent: Wednesday, February 25, 2004 5:36 AM
To: Phillip Good
Cc: [EMAIL PROTECTED]
Subject: Re: [edstat] null means null


(Reply to OP and to edstat.)

On Tue, 24 Feb 2004, Phillip Good wrote:

> Null means null.

One can hardly argue with that.  Now, let me point out that one of the
meanings of "null" is "zero".  Are we to understand, Phillip, that you are
arguing that the proper null hypothesis in the case under discussion is  H0:
P = 0 ?  If this is what you mean, please show us how you would test it.  I
want to watch....  But perhaps this is not what you had in mind.  (Hard to
tell -- telepathy is not one of my skills.)

.
.
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