Dear R ussers,

My question is, " How can my mean be outside the confidence intervals ?!"

I think i have the answer for it, but i would like to hear some other 
ideas on it.

First my data is not continuose but categorical, it is a titre calculated 
on a dilution serie.
It is stored as a column of values, and a column indicating the phase of 
the trail.
Theoreticaly it is possible to have a value ranging from 0 to 4, but in 
practice, only sertain values will occure, and they will repeat.
So it are frequencies.

This is why i belief that it is better to work with a median than with a 
mean, because it represents the cluster of values wich occure most.
Below I only give one example, but the mean being below the lowest 
confidence limit occures several times over different tests.

does my answer seam reasonable, or should i perhapes use an other methode, 
any sugestion?

        summary_1d  = summary(subset(eda_data,  phase=='1' & test=='test 
1' ,select=lg_value), na.rm = T)
        conf_1d  = boxplot.stats(subset(eda_data,  phase=='1' & 
test=='test 1' ,select=lg_value))

        Mean            Median             95% Confidence     Int. StDev.  
Variance
        1.198            1.681                   1.441 >  < 1.922 0.931    
   0.866

Kind regards,
Tom W.


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