Calculating Uncertainty in Averages for Scientists

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SUMMARY

The discussion focuses on calculating uncertainties in averages derived from the Franck-Hertz experiment involving heated mercury and electron beams. The participant has collected data points A, B, C, D, and E, with associated uncertainties. The key challenge is determining the uncertainty in the differences between these points. The participant references the "sum of squares" rule for uncertainty propagation and suggests that a simpler approach may involve summing the individual uncertainties for a rough estimate.

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Homework Statement


In my lab we are doing Franck Hurtz experiment with heated mercury and electron beams. We already took data but i need a little help. I have the locations of the minimums A B C D and E, and each point has it's own uncertainty. a b c d and e. What i needed to find was the difference between each min and the next, so A-B, B-C... and then find the average of each these differences. I don't know how to do the uncertainty for my calculations.


Homework Equations


My actual values are
1.4
1.94
2.43
2.98
3.66
With uncertanities (in order)
0.003686
0.008077
0.002263
0.009459
0.003834


The Attempt at a Solution

 
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I would say that the most general rule is the "sum of squares" rule,
[tex](\Delta d)^2 = (\Delta x)^2 + (\Delta y)^2[/tex]
where d = x - y is the difference of two independent quantities x and y.

However, I think that
[tex](\Delta d) = (\Delta x) + (\Delta y)[/tex]
is also commonly used, giving the "rough" estimate that the deviation from the mean is at most the sum of the two maximal deviations.
 

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