Calculating uncertainty in data.

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To calculate the uncertainty in the average of pendulum measurements, the standard deviation of individual measurements can be used. The formula for the standard deviation of the mean is s_m = s / √n, where s is the standard deviation of individual measurements and n is the number of trials. To derive individual uncertainties, the standard deviation can be calculated using the variance of the measurements. As the number of trials increases, the standard deviation of the mean approaches zero, indicating greater precision. Understanding these relationships is crucial for accurately reporting measurement uncertainty.
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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.

\sigmaaverage = \sigma 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:
s_{m}=\frac{s}{\sqrt{n}}=\sqrt{\frac{1}{n(n-1)}\sum_{i=1}^{n}(x_{i}-\bar{x})^{2}}

here then holds for n->infinity

s_{m}\rightarrow0\; s\rightarrow\sigma

with

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