Calculating uncertainty in data.

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SUMMARY

This discussion focuses on calculating the uncertainty in the average time measurements of a pendulum experiment involving 25 trials. The key formula provided for determining the average uncertainty is σaverage = σindividual / √n, where n represents the number of trials. Participants clarify that individual uncertainties can be derived from the standard deviation of the measurements, using the formula for the standard deviation of the mean value: sm = s / √n. This approach ensures accurate representation of uncertainty as the number of trials increases.

PREREQUISITES
  • Understanding of standard deviation and variance in statistics
  • Familiarity with basic pendulum motion principles
  • Knowledge of statistical formulas for calculating averages
  • Experience with experimental data collection and analysis
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  • Study the concept of variance in-depth to improve data analysis skills
  • Learn about the Central Limit Theorem and its implications for uncertainty
  • Explore advanced statistical tools like R or Python for data analysis
  • Investigate methods for reducing measurement uncertainty in experiments
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Students in physics or engineering, laboratory technicians, and anyone involved in experimental data analysis who seeks to understand and calculate uncertainty in measurements.

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Homework Statement


This is from a laboratory exercise. I was asked to measure the time it took for a pendulum to cover 3 periods. I repeated this 25 times, to get 25 measurements for as many trials. I also calculated the standard deviation from the measured data (calculated for different question).

The question I am stuck on, is however, the one that concerns finding the uncertainty in the overall average of the pendulum data. Any help is appreciated.


Homework Equations



I am given this equation for finding the average uncertainty.

[tex]\sigma[/tex]average = [tex]\sigma[/tex] individual/ square root of n
n being number of trials.


The Attempt at a Solution



So, the equations asks for the uncertainties of individual measurements. Can I somehow calculate the individual uncertainties from the standard deviation or the average?

Thanks a lot.
 
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What you are looking for seems to be the variance of measurements.
For the std-deviation of the mean value:
[tex]s_{m}=\frac{s}{\sqrt{n}}=\sqrt{\frac{1}{n(n-1)}\sum_{i=1}^{n}(x_{i}-\bar{x})^{2}}[/tex]

here then holds for n->infinity

[tex]s_{m}\rightarrow0\; s\rightarrow\sigma[/tex]

with

[tex]s^{2}=\frac{1}{n-1}\sum(x_{i}-\bar{x})^{2}[/tex]
 

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