Measurement uncertainty: Standard uncertainty of the mean

AI Thread Summary
The discussion centers on calculating the standard uncertainty of the mean for X-ray analysis of the K-α line of copper. The user has fitted a Gaussian curve to their data and computed the sample standard deviation but is uncertain about the correct method to find the standard uncertainty of the mean. It is clarified that the formula for standard uncertainty is U=σn-1/√N, where N represents the number of measurements. The user confirms that N should be the number of values in their dataset, not the sum of the array. This exchange emphasizes the importance of correctly identifying N in uncertainty calculations.
garyd
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Homework Statement


Hi,

I am doing some basic X-ray analysis and trying to quantify the measurement uncertainty associated with my determined value for the K-α line of copper. I have obtained the x-ray spectrum from a copper target using a detector and multichannel analyzer (No. of pulses/pulse height as a function of energy in keV). I have identified and isolated the K-α peak. I have fitted a Gaussian/Normal distribution curve to the data, computed the mean value in keV and have computed the sample standard deviation. I now need to compute the standard uncertainty of the mean and I’m unsure of the correct method. As far as I know the standard uncertainty of the mean (u) is given by [1] below where N is the number of measurement readings taken in order to determine the mean value and sigma n-1 is the computed sample standard deviation.

Homework Equations



U=σn-1/N [1]

The Attempt at a Solution


The multi-channel analyzer effectively sorts and counts incident voltages of different magnitudes. I have an array of x-axis data in keV. e.g. x=[2 3 4 5 4 3 2] I am wondering is N the length of the array (=7) or the sum of the array (23)
 
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garyd said:
U=σn-1/N [1]
Shouldn't that be ##\sigma_{n-1}/\sqrt n##?
 
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haruspex said:
Shouldn't that be ##\sigma_{n-1}/\sqrt n##?
Yes it should be ##\sigma_{n-1}/\sqrt N##
But what value is N
 
garyd said:
Yes it should be ##\sigma_{n-1}/\sqrt N##
But what value is N
N is the number of values (which is why I wrote n; it's the same n as in σn−1).
 
Sorry i was referring to my lecture notes, n makes a lot more sense, thanks
 
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