Sig figs/certainty in percent error calculation

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SUMMARY

The discussion centers on the application of significant figures in percent error calculations, specifically using the example of measuring 1.87 g against a target value of 1.95 g. Participants concluded that the percent error should be reported as 4.10% rather than 4%, emphasizing that leading zeros are not significant while trailing zeros may be. The precision of the result should match the precision of the original measurements, which in this case is to the hundredths place. The conversation highlights the importance of understanding relative precision in calculations involving significant figures.

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Derrick Palmiter
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Hello, all. Quick question about how to apply sig figs in percent error problems. Eg. If the actual/target value is 1.95 g and we measure 1.87 g, then should the percent error of our measurement be reported as 4.10% or 4%? Normally, at least abstracting from the problem, after subtracting 1.95 from 1.87 for a difference of -0.08, the zeros would not be considered significant and we would consider this result to have one significant digit, but really, we have certainty about those zeros as values, correct? (So, I'm leaning towards saying three sig figs for the purpose of the subsequent division problem by 1.95. -0.08/1.95 = -4.10% and not -0.08/1.95 = -4%.) Does this seem like an appropriate interpretation of the situation to any of you, or am I forgetting something?

I know the rule technically says to count "placeholding" zeros as non-significant, but here it seems to me they are reporting data about the measurements used in the initial calculation, not just placeholding. Many thanks in advance for your help.
 
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Derrick Palmiter said:
Normally, at least abstracting from the problem, after subtracting 1.95 from 1.87 for a difference of -0.08, the zeros would not be considered significant and we would consider this result to have one significant digit, but really, we have certainty about those zeros as values, correct?
Incorrect. Leading zeros are never significant. Only trailing zeros may be. Significant digits are not really about how many of the digits you have confidence in, it is about relative precision. If you have three significant digits and change the last by one, then the result should not differ more than 1% from your original number.

It is easier to think about significant digits in scientific notation ##x\cdot 10^y##.

As another example, you can write 143 as 0000000000143. It does not change the fact that there are three significant digits even if you know that the number is not 1000000000.
 
It is about relative precision.

Please help me understand how this applies to this situation, for both the initial subtraction of 1.95-1.87 and the subsequent division by 1.95.
 
1.95-1.87 = 0.08, which is one significant digit.
 
Orodruin said:
1.95-1.87 = 0.08, which is one significant digit.
And that precision is relative to? The precision of the original measurement which is to the hundredths place? Is that your meaning? That the precision of the result is of equal degree as the precision of the measurement?
 
These are absolute numbers. Your initial measurements have an uncertainty of 0.01, the difference has a similar uncertainty.

0.01 is 1/8 of 0.08, so the relative uncertainty of your difference is of the order of 10%.
 
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Look at the max and min for the difference:
$$
\begin{array}{|c|c|c|}
\hline nom&max&min \\
\hline 1.950&1.955&1.945 \\
\hline 1.870&1.865&1.875\\
\hline 0.080&0.090&0.070 \\
\hline
\end{array}
$$
 
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Can anyone recommend a good text/reading material that explains this concept in a bit more detail than a standard high school physics/chemistry textbook would? Many thanks to all involved for your assistance.
 
Significant digits is essentially poor-man’s error analysis. You will typically not find an in depth analysis of this as the more advanced thing would be to actually do proper error analysis.
 
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