Propagation of uncertainty in an experiment

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SUMMARY

The discussion focuses on the propagation of uncertainty in experimental measurements, specifically in calculating the distance between DVD pits using different wavelength lasers. The user conducted nine measurements, each with individual uncertainties, and calculated the average and standard deviation. The correct method for combining these uncertainties involves using the weighted mean formula, where the mean is calculated as α = Σ(xi/σi²) / Σ(1/σi²) and the standard deviation of the mean as β = √(1/Σ(1/σi²)). This approach ensures accurate representation of uncertainty in the final result.

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I performed an experiment using different wavelength lasers to calculate the distance between the pits of a DVD by measuring the angles formed by the resulting diffraction pattern,but now I'm unsure on how to calculate the uncertainty of the final result.

I took 9 measurements each with their own uncertainty, found an average and calculated the standard deviation, but I'm unsure of how I'm supposed to combine the uncertainties of each individual result with the standard deviation.

I suspect that I should do something like get the average of the uncertainties and add it to the standard deviation, although it's pretty much just a guess.

Can someone please help me(or at least link me a a resource) understand how to propagate uncertainty through an averaging?

Thank you
 
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See http://ned.ipac.caltech.edu/level5/Leo/Stats4_5.html, for example.

If xi is the mean and σi is the standard deviation/uncertainty of the result of the i-th experiment, the weighted mean of n data is

[tex]\bar x = \frac{\sum_1^n {x_i/\sigma_i^2}}{\sum_1^n {1/\sigma_i^2}}[/tex]and the standard deviation/ uncertainity of the mean is

[tex]\bar\sigma =\sqrt{\frac{1}{\sum_1^n {1/\sigma_i^2}}}[/tex]

ehild
 

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