I Error propagation and standard deviation

AI Thread Summary
Error propagation and standard deviation are crucial in experimental physics for assessing the reliability of measured values against theoretical ones. To incorporate errors into standard deviation calculations, referencing established guidelines such as Kline and McClintock's 1953 paper on uncertainty analysis is recommended. Additionally, the NIST guidelines and the GUM provide updated frameworks for understanding and applying these concepts. These resources are valuable for anyone looking to enhance their grasp of error analysis in experimental data. Understanding these principles is essential for accurate scientific reporting and interpretation.
Sral2018
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Hey there,
First time on this forums, looking forward to some interesting discussions :)
I am currently trying grasp the concepts of error propagation and standard deviation in relation to experimental physics. I have some data set and i want to determine the difference between the measured and theoretical values including errors and how reliable my reading are. My problem is how do i include these errors in the standard deviation?
 
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You might check Kline and McClintock's 1953 paper on uncertainty analysis. It is a standard in the field.
 
There is also the NIST guidelines which are a little more up to date.

https://www.nist.gov/sites/default/files/documents/2017/05/09/tn1297s.pdf
 
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