Re: Collinearity, confidence intervals and sampling

On Fri, 16 May 2008 09:54:15 +0100, "reflex" <sdfs@xxxxxxxxx> wrote:


Say if you had a population sample of all hospitals in England, and you
wanted to say something interesting about all hospitals in England, then you
wouldn't need to generalise to a wider population because you know the whole
population. Surely that's a real application?

What can you say about "all the hospitals in England"
in the year 2007 that *remains interesting to people* , if
you are unable to extrapolate or infer something about
the hospitals in the year 2008?
- or any other hospitals in any time or place....

Come up with something *interesting*, and I think I
can show you that you are drawing inferences.


--
Rich Ulrich
http://www.pitt.edu/~wpilib/index.html
.

Relevant Pages

  • Re: Collinearity, confidence intervals and sampling
    ... >> wanted to say something interesting about all hospitals in England,>> then ... >> wouldn't need to generalise to a wider population because you know the ... > can show you that you are drawing inferences. ...
    (sci.stat.consult)
  • Re: Collinearity, confidence intervals and sampling
    ... Say if you had a population sample of all hospitals in England, ... can show you that you are drawing inferences. ... The population of interest is what you are trying to generalise to in the ...
    (sci.stat.consult)
  • Re: Collinearity, confidence intervals and sampling
    ... wouldn't need to generalise to a wider population because you know the whole ... There are various ways of looking at how the hospitals in England got ...
    (sci.stat.consult)
  • Re: Collinearity, confidence intervals and sampling
    ... wanted to say something interesting about all hospitals in England, ... The population of interest is what you are trying to generalise to in the first place though isn't it? ... So in taking a random sample from a set population (hospitals in England) you can arguably generalise to all hospitals. ...
    (sci.stat.consult)