Sig figs/certainty in percent error calculation

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Discussion Overview

The discussion revolves around the application of significant figures in percent error calculations, specifically in the context of measuring values and determining their precision. Participants explore how to interpret significant digits in the context of subtraction and division, and the implications for reporting percent error.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant questions whether the percent error should be reported as 4.10% or 4%, suggesting that zeros in the difference should be considered significant due to the certainty of the measurements involved.
  • Another participant asserts that leading zeros are never significant and emphasizes that significant digits relate to relative precision rather than confidence in the digits themselves.
  • A participant seeks clarification on how relative precision applies to both the subtraction of the two measured values and the subsequent division for percent error.
  • It is noted that the difference of 1.95 - 1.87 equals 0.08, which is considered to have one significant digit.
  • Further discussion addresses the precision of the original measurements, suggesting that the precision of the result should match that of the measurements.
  • One participant introduces the concept of uncertainty, stating that the initial measurements have an uncertainty of 0.01, which affects the relative uncertainty of the difference.
  • A table is presented to illustrate the maximum and minimum values for the difference calculation, contributing to the understanding of uncertainty in measurements.
  • A request for additional reading materials on the topic is made, indicating a desire for deeper understanding beyond standard educational resources.
  • Another participant comments that significant digits serve as a basic form of error analysis, suggesting that more advanced error analysis techniques exist.

Areas of Agreement / Disagreement

Participants express differing views on the significance of zeros in the context of percent error calculations and the interpretation of significant figures. There is no consensus on how to apply the rules of significant figures to the specific example provided, and the discussion remains unresolved.

Contextual Notes

Participants highlight limitations in understanding the application of significant figures, particularly regarding the treatment of zeros and the relationship between measurement precision and reported results. The discussion reflects varying interpretations of the rules governing significant figures and their implications for error analysis.

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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