Systematic/Statistical errors [distinguish]

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Distinguishing between systematic and statistical errors is crucial for accurate reporting in experiments. Systematic errors arise from consistent inaccuracies in measurement, while statistical errors stem from random variations. To effectively report results, one must conduct a thorough analysis of the experimental design. This allows for the proper identification and quantification of both types of errors. Understanding these distinctions enhances the reliability of the reported data.
ChrisVer
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I have one fast question. How can people in some results, distinguish between systematic and statistical errors? So that they can write: x= A^{\pm \delta B (stat)}_{\pm \delta C (syst)}?

I am trying to do the same with a report of mine, but I am not quite sure about whether that's possible or not.
 
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It is possible, but you need to analyse the design of the experiment in detail.
 
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