Standard deviation and standard error

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SUMMARY

The discussion centers on the distinction between standard deviation (SD) and standard error (SE) in reporting temperature data. The mean temperature is 21.2°C, with a standard deviation of 2°C and a standard error of 0.8°C. It is emphasized that without explicit clarification, one cannot determine whether a reported uncertainty value refers to SD or SE. Clear communication of the type of uncertainty is essential for accurate interpretation.

PREREQUISITES
  • Understanding of statistical concepts: standard deviation (SD) and standard error (SE)
  • Familiarity with data reporting standards in scientific contexts
  • Basic knowledge of temperature measurement and reporting
  • Awareness of confidence intervals and their significance
NEXT STEPS
  • Research the differences between standard deviation and standard error in statistical analysis
  • Learn how to calculate and interpret confidence intervals in data reporting
  • Explore best practices for reporting statistical uncertainty in scientific papers
  • Study the implications of using SD versus SE in data interpretation
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Researchers, statisticians, and anyone involved in data analysis and reporting who needs to accurately convey uncertainty in their findings.

i_love_science
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The mean of some data was 21.2°C, the standard deviation was 2, and the standard error was 0.8.

My textbook says that using one standard deviation, we would report the temperature of the substance as 21.2 ± 2°C, while using the standard error, the temperature would be reported as 21.2 ± 0.8°C.

If I did not know whether the temperature was reported using standard deviation or standard error, how would I determine that from the given value itself?

Thanks.
 
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You can't. Without any indication, it could be SD or SE, or something else, e.g. 95% confidence interval (±2 SE). You should always make it clear what your uncertainty figure refers to.
 
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