I have 11 samples done each in triplicate, and want to test if the correlation b/n different parameters are significant. So should I use mean values (n=11) or triplicate data (n=33) in Pearson correlation test?
As far as both variables are quantitative, you can use Pearson correlation. From my experience, it is better to use individual observations. Both variables (parameters) for which you're checking the relationship should be quantitative/continuous.
Make sure that data is normally distributed and there is no outlier in the data set.
Thank you Wabi Bajo It gives sense. The issue, however, is many people (reviewers) recommend to use mean values instead of individual observations.
Yes, the nature of the relationship will not change, but when you use mean values, the number of observations will reduce and the correlation may become non-significant. That is what I experienced.
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