On 21 Aug 2003 20:09:39 -0700, [EMAIL PROTECTED] (Garbriel) wrote:

> Thanks for your help,
> You mean there is no approximation method, like adding 0.5 to each
> cell, to do this case?
> 
>  If there is no varation in one varible. I want know that if there is
> relation between these 2 variable, How can I do?

If you want to show that there is a relation between
two variables, you have to KNOW  that there is 
variation in both variables.  

A correlation is a statement about sample;
you have to collect a sample that has variation.

If you do have two ratings, say, that both doctors
say that "Nobody has leprosy", you can say that
they agree -- about this sample.  And you hope that
there is reason to say that "no leprosy"  is 
reasonable, for this sample.


If one doctor says, on the contrary, that "three patients 
do have leprosy",  then you can comment on the general
agreement between doctors; but now you have some
disagreement evident:  The dx  made by one doctor
lacks "sensitivity"  or the dx  made by the other lacks
"specificity."    You might test to say whether the excess
count of differences is "statistically significant".

You can't be sure about who is right unless you have
some outside assessment that you want to call a 
"gold standard".  You could try a google-search with
some of these words.
-- 
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html
"Taxes are the price we pay for civilization."  Justice Holmes.
.
.
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