Determining std dev with errors in measurements

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SUMMARY

This discussion addresses the calculation of standard deviation when measurement errors are present in the dataset. The user presents a set of measurements "V" with associated errors "E" and seeks guidance on how to incorporate these errors into the mean and standard deviation calculations. It is established that the standard deviation should account for the errors, and suggestions include using a weighted mean approach or considering the errors as part of the deviation calculations. The discussion emphasizes the importance of correctly representing the data distribution when calculating these statistics.

PREREQUISITES
  • Understanding of basic statistics, including mean and standard deviation.
  • Familiarity with error analysis in measurements.
  • Knowledge of MATLAB for statistical computations.
  • Concept of weighted averages and their application in data analysis.
NEXT STEPS
  • Research "weighted mean calculation" to incorporate measurement errors effectively.
  • Explore "MATLAB error propagation techniques" for handling uncertainties in data.
  • Study "standard deviation with errors" to understand advanced statistical methods.
  • Investigate "uniform distribution of errors" and its implications in data analysis.
USEFUL FOR

Statisticians, data analysts, researchers dealing with experimental data, and anyone interested in accurately calculating statistical measures in the presence of measurement errors.

karna87
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I have the following sample of measurements "V" and each has error "E" incorporated in the measurement. If I want to take mean of the sample how should I proceed. I figure that I can compute "sigma" by taking square root of the (sum of square of deviations from the mean divided by the number of sample-1). but that sigma will not incorporate the "E" errors inherent in the "V"

V E

6 1
5 0.2
4 3
6 2

I can compute mean and stddev suing Matlab, but how do I incorporate "E" in the computation.

thanks,
 
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Hint:
Assuming your error is uniformly distributed, if not adjust accordingly.
Suppose you have a horizontal bar one unit high and
centered at 6 and 1 unit wide
centered at 5 and 0.2 unit wide
centered at 4 and 3 unit wide
centered at 6 and 2 unit wide.
Does that correctly represent your data? Or do they need to be other than one unit high?
Can you perhaps think "center of gravity" to then calculate your mean?
Can you perhaps think of another calculation to then calculate your standard deviation?
 
thanks for your help !
 

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