freebeard is correct,
However, noise needs some sort of filter, no matter the definition of that noise, or its measurement, otherwise it simply degrades overall average of measurement. If you want to work with much smaller less accurate increments, then you don't have to remove the noise in your data, unless the result is so far off you need to change your original definition.
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casual notes from the underground:There are some "experts" out there that in reality don't have a clue as to what they are doing.
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