Error Analysis: Addition of Quantities with Uncertainty

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When performing error analysis for the addition of quantities with uncertainty, it is crucial to determine whether to use rounded values or raw data. The discussion emphasizes that the uncertainty should be represented in the last significant figure of the measurement. The user is uncertain about whether to apply rounded values (8.55 and 3.87) or the original raw data (8.5452545 and 3.865898) for calculations. The importance of significant figures in representing uncertainty is highlighted, but the user seeks clarity on the correct approach for their report. Ultimately, using raw data is generally recommended for more precise calculations in error analysis.
NachoNovo
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Hi there,

I have a pretty basic question on error analysis. say we want to obtain a quantity which is given by u+v.

if u = 8.5452545 and has uncert 0.025454. it would be quoted as 8.55(2) and if v = 3.865898 and has uncert 0.04124343.

it would be quoted as 3.87(4).

but when calculating say u+v...

do i a) use 8.55 and 3.87 and their rounded uncertainties.

or b) use the raw data?

thanks for any help.
 
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The uncertainty of a given value must be in the last significant figure.
So if u is given as 8.5452545 the uncertainty is in the last figure 0f 5.
It means that u lies between 8.5452544 and u = 8.5452546.
This is what is meant by SIGNIFICANT figures.
Hope this helps
 
no sorry it doesn't help.

I'm not sure when calculating a new value experimentally if I use the rounded values or the raw values of the old data?

I know what sig figs mean.
 
where did these figures come from?
Are they from a question you have seen?
Were they given to you to test your understanding?
Are they values you have measured?
 
The values are made up. I am writing up a report and wasn't sure what to do.
 
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