A few comments from the point of view of statistical analysis. In statistical sampling theory for ratio estimators (the density is a ratio estimate),
the common measure employed is the ratio of the means of two variate and not the average of individual ratios as the sampling variance of the latter
is much greater. It is, however, a bias estimate which can be adjusted. For an in depth discussion of various estimators and their respective standard
error see "Advances in Sampling Theory-Ratio Method of Estimation" by Hulya Cingi, Cem Kadilar at http://books.google.com/books?id=ORy83SaeWqgC&printsec=f... .
Now, in the case of your experiments, I will assume that the sample ratio (r), calculated as the sum (or average) of the respective water weights
divided by the respective volume measures, would be .9936. This statistic is, however, bias and needs to be corrected (see good discussion at
Wikipedia at on Ratio Estimator at http://en.wikipedia.org/wiki/Ratio_estimator ).
If mean of the weights and volumes employed are both greater than 10 (that is, the volume of water measured each time is over 10 cc), I would
recommend using the bias correction formula specified in Wikipedia (using a somewhat larger sample size) where the density estimate should have an
error in the order of at most 1/n cubed.
Any error observed in excess of what is expected per sampling theory should then be attributed to experimental design.
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