On Mon, 21 Oct 2002 16:53:31 +0100, "Darren Williams"
<[EMAIL PROTECTED]> wrote:

> OK firstly I don't know much about statistics and I was hoping some kind
> soul here would lend a hand.
> 
> This is to analyse a set of biological data. I'm using the Stats Direct
> software package - a beginner's software app apparently.
> 
> I have a set of data. Its is looking at the degree of expression of a marker
> (cell antigen) in two different populations (EBV+ and EBV-).
> 
> The degree of expression of the marker is divided into:
> None, Weak, Moderate, Strong, Very Strong (1 - 5)
> 
> A typical data set is:
> 
> Marker: CD5        EBV+        EBV-
> 1                            2                5
> 2                            4                3
> 3                            6                2
> 4                            12              15
> 5                             9               12
> 
> 
> I want to look at two things:
> 
> Does EBV status effect the degree of expression of CD5.
> I have used Fisher's Exact test here, is that the correct test to use.
[ later note says:  5x2 contingency chisquared, not Fisher's which 
is defined for 2x2 tables.]


A 5x2  contingency chi squared test is a general test 
for any difference in pattern.

Presumably (if not weird data), you will have better power and 
a more sensible statement when you compare the scores of
1 to 5  on 'strength of expression';  and conclude  that the means 
 - which you can illustrate as being almost identical -
do not differ by a t-test, or by an interesting amount.

-- 
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html
.
.
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