Uncertainty and Significant Figures

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SUMMARY

This discussion centers on the treatment of uncertainty and significant figures in experimental data analysis. It confirms that uncertainty in independent variables, such as mass measured by an electronic balance, is reasonable and should be considered if it impacts the results. Participants emphasize the importance of tracking significant figures throughout calculations rather than simply matching them to raw data. Additionally, careful selection of values and thorough error analysis are crucial for accurately accounting for significant figures in both independent and dependent variables.

PREREQUISITES
  • Understanding of uncertainty in measurements
  • Familiarity with significant figures and their rules
  • Basic knowledge of error propagation techniques
  • Experience with data analysis in experimental contexts
NEXT STEPS
  • Study error propagation methods in detail
  • Learn about significant figures in calculations
  • Explore tools for data analysis, such as Python's NumPy library
  • Review experimental design principles to minimize errors
USEFUL FOR

Students, researchers, and educators in scientific fields who are involved in data analysis, experimental design, and accuracy in measurements will benefit from this discussion.

i_love_science
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Homework Statement
Uncertainty and Significant Figures
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Uncertainty and Significant Figures
Hi,

Would it be reasonable to have uncertainty in your independent variable (e.g. uncertainty of mass measured by electronic balance)?

For processing raw data: does each processed answer just have the same number of sigfigs as each raw datum it is calculated from, or do I need to keep track of the number of sigfigs throughout each calculation?
As well, how would I account for the different sigfigs of my independent and dependent variables, which are both used in my calculation?

Thank you!
 
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Hi,

The homework fora require posting your best attempt at solution -- that way it's more likely you get adequate assistance at the proper level. What do you know about error processing and eror propagation ?

i_love_science said:
Would it be reasonable to have uncertainty in your independent variable (e.g. uncertainty of mass measured by electronic balance)?
Yes, if it matters (other uncertainties could render such a small error irrelevant). Otherwise it's just a wasted effort.

i_love_science said:
For processing raw data: does each processed answer just have the same number of sigfigs as each raw datum it is calculated from, or do I need to keep track of the number of sigfigs throughout each calculation?
Generally: No, so you have to keep track. (general question, general answer).

i_love_science said:
As well, how would I account for the different sigfigs of my independent and dependent variables, which are both used in my calculation?
By carefully picking values, careful experiment planning, doing a careful error analysis. Otherwise the biggest error reigns.

Specific examples you want to submit ?
 
Last edited:

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