Standard deviation from measures with different uncertainty

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To calculate the standard deviation from measurements with different uncertainties, one must first compute the weighted mean of the measurements, factoring in their respective uncertainties. The formula for combining uncertainties involves using the variances of each measurement, which can be calculated as the square of their uncertainties. When uncertainties differ, the standard deviation can be derived from the weighted variances, ensuring that more precise measurements contribute more to the final result. A helpful resource was shared for understanding uncertainty treatment, but specific solutions for mixed uncertainty scenarios are still sought. Properly addressing these calculations is essential for accurate measurement reporting.
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Homework Statement


i have a few results of measurements, with different measurement uncertainty: L=5\pm0,2, L=5,1\pm0,1,L=5,2\pm0,3,L=5,3\pm0,1,L=5,4\pm0,2 and how can i count standard deviation and final result of measurement with uncertainty?

The Attempt at a Solution


i counted arithmetic mean, variance and standard deviation of all results, if they were the same I would just do this like this \Delta L=\sqrt{V(L)+U^2(L)} where U(L) is measurement uncertainty of a single result, but what to do when they are different?
 
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There's a good explanation of how to treat the uncertainty here
http://www.rit.edu/cos/uphysics/uncertainties/Uncertaintiespart1.html#estimate
 
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thanks for this link, it is very helpful, but there arent solution for what to do with this thing that i mentioned, do you have any other idea?
 

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