I've been involved in off-list discussion with Duncan Murdoch. At one
stage there I was about to retire in disgrace. But sighs of relief... his
objection is Bayesian. OK. The p value is a device to put in a
publication to communicate something about precision of an estimate of an
effect, u
Will,
I gotta reply to this one! I've done this type of thing a number of times.
Will Hopkins wrote:
> I have an important (for me) question, but first a preamble and
> hopefully some useful info for people using Likert scales.
>
> A week or so ago I initiated a discussion about how non-norma
I have a very interesting question...I am currently trying to run a
Multivariate Multiple Regression model (i.e. each trial has more than
one dependent variable) and the type of independent variables that I am
using in this model are dummy variables. Now my question is why does
the square of the d
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>Radford Neal wrote:
>> ... the median is probably not
>> the best thing to look at, whatever you might have been taught. What
>> to look at depends not just on the shape of the distribution, but also
>> on what your purpose is. Ask yourself whether there are very many
>> purposes for which it
Radford Neal wrote:
> As another poster has said, one reason is technical convenience. A
> more fundamental reason, though, is that the median is probably not
> the best thing to look at, whatever you might have been taught. What
> to look at depends not just on the shape of the distributio
Will Hopkins wrote:
>
> I accept that there are unusual cases where the null hypothesis has a
> finite probability of being be true, but I still can't see the point in
> hypothesizing a null, not in biomedical disciplines, anyway.
>
> If only we could replace the p value with a probability tha
Radford Neal wrote:
>
> In article <[EMAIL PROTECTED]>,
> James Ankeny <[EMAIL PROTECTED]> wrote:
>
> >... if the distribution is
> >heavily skewed to the right, say like income, why do we want an interval for
> >the population mean, when we are taught that the median is a better measure
> >of
