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Consider the following very controversial problem from the first version of this site's significant figures quiz:
If you dutifully follow the guidelines, your reasoning goes something like this:
But do you really know the weight this precisely? Is the tenths place really the first uncertain digit? This is one of those cases where you have to keep the definition of significant figures in mind.
You have a series of replicated measurements, so you can see that the precision implied by the scale isn't the same as the precision you're actually getting, because the person is balancing themselves slightly differently every time. Even though the measuring device has a scale that allows you to read to the nearest 10th of a pound, the measurements are changing in pounds place. Pounds are the first uncertain digit, so the reported weight should be 153 lbs.
Think this is just hair-splitting? Consider another example. Three replicate combustion analyses of a purified drug sample show that the sample contains 60.080, 60.160, and 60.000 percent carbon. The average by following the rules for adding significant figures is 60.080, which implies that the uncertainty in the average is in the thousandths place. The uncertainty is actually in the hundredths or even the tenths place (+/- 0.08 around the average). If the number 60.080% C alone appears on a court report, it would tend to support the conclusion that the sample was cocaine hydrochloride (60.08% C) rather than aspirin (60.00% C) because the apparent error is much smaller than the difference between carbon percentages for these two substances. However, if the actual uncertainty was used to round the answer, it's obvious that you can't tell whether the sample was cocaine or aspirin from the data given. (Better still: provide an error estimate along with the average, and collect enough data to do a decent statistical hypothesis test!)
If you'd like to learn more about when the rules of thumb apply, and see other cases where the rules of thumb lead to incorrectly rounded results, see the following references. (J. Chem. Ed. = The Journal of Chemical Education).
Author: Fred Senese senese@antoine.frostburg.edu
Copyright © 1997-2010 by Fred Senese
Comments & questions to fsenese@frostburg.edu
Last Revised 02/23/18.URL: http://antoine.frostburg.edu/chem/senese/101/measurement/faq/print-averages-and-sigfigs.shtml