Measurement uncertainty: Standard uncertainty of the mean

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SUMMARY

The discussion focuses on calculating the standard uncertainty of the mean for X-ray analysis of the K-α line of copper. The formula for standard uncertainty is confirmed as U=σn-1/√N, where N represents the number of measurement readings. Participants clarify that N should be the count of individual measurements rather than their sum. The conversation emphasizes the importance of correctly identifying N to ensure accurate uncertainty calculations.

PREREQUISITES
  • Understanding of Gaussian/Normal distribution fitting
  • Familiarity with standard deviation calculations
  • Knowledge of measurement uncertainty concepts
  • Experience with multichannel analyzers in X-ray spectroscopy
NEXT STEPS
  • Study the derivation and application of standard uncertainty in measurement
  • Learn about Gaussian fitting techniques in data analysis
  • Explore advanced statistical methods for uncertainty quantification
  • Investigate the use of multichannel analyzers in different spectroscopic applications
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Researchers in X-ray spectroscopy, physicists conducting material analysis, and students studying measurement uncertainty in experimental physics.

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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