Stephen Tashi
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FactChecker said:I would have to question whether the mean of a ratio is simply the ratio of the means.
Also, the ratio of two independent normally distributed random variables with zero means has a Cauchy distribution, whose mean does not exist. (I gather the idea is to estimate the true resistance as the mean of the V/I values.) The ratio of independent normals with non-zero means may be better behaved.
A paper by Marsaglia about dealing with the ratio of normal random variables is:
https://www.google.com/url?sa=t&rct...sg=AFQjCNEgO1dvktreWiL-rt-ZPcS3K1FmYQ&cad=rja
As to the merits of pencil-and-paper methods of "error propagation", my impression (based only on questions that appear in the forum about error propagation) is that (statistically!) instruction in the pencil and paper methods seems to teach a set of procedures, but does not connect those procedures with the theory of probability models. Many questioners ask about how to compute "uncertainties" in things and are confident that "uncertainty" has an obvious meaning. It may indeed have a well defined meaning in their particular technical discipline, but I don't detect this meaning is identical to a particular concept in probability and statistics. Of course, there is a potential bias in my sample since people with less understanding of the subject would be more inclined to ask questions about it.