Does anyone know how to calculate absolute uncertainty?

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Homework Help Overview

The discussion revolves around calculating absolute uncertainty in repeated measurements of time taken by an object to cover a distance. The original poster presents a set of time measurements and queries how to report the absolute uncertainty, referencing both instrument uncertainty and standard error.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants explore the definition of standard error and its calculation, questioning the meaning of R and N. Some suggest calculating the range and dividing by the number of measurements, while others express uncertainty about the appropriateness of this method.

Discussion Status

The discussion is active, with participants questioning the validity of different approaches to calculating absolute uncertainty. There is no explicit consensus, but various interpretations of the problem are being explored, including the role of instrument uncertainty and statistical methods.

Contextual Notes

Participants note the need to consider both instrument uncertainty and the calculated standard error, leading to confusion about how to combine these values in reporting absolute uncertainty.

nchin
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Does anyone know how to calculate absolute uncertainty??

A student repeatedly measures the time taken by an object to cover a certain distance and obtains the following data:

t1 = 2.432 s, t2 = 2.393 s, t3 = 2.402 s, t4 = 2.412 s, t5 = 2.424 s

The instrument uncertainty is 0.001 s

What should the student report as the absolute uncertainty in the measurement? HINT: The absolute uncertainty can be given by either the instrument uncertainty or the standard error (approximated by R/N) in the measurements

This is what I've done:

so since the instrument uncertainty is 0.001 s then.

t1 = (2.432 ± 0.001)s
t2 = (2.393 ± 0.001)s
t3 = (2.402 ± 0.001)s
t4 = (2.412 ± 0.001)s
t5 = (2.424 ± 0.001)s

help! what do i do? do i add the uncertainties together like 0.001 + 0.001...?
 
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Can you clarify what is meant by "standard error (approximated by R/N)"? In the textbook, or wherever this comes from, what are R and N?
 


haruspex said:
Can you clarify what is meant by "standard error (approximated by R/N)"? In the textbook, or wherever this comes from, what are R and N?

I believe R stands for range and N is the number of values.

values"
t1 = 2.432 s, t2 = 2.393 s, t3 = 2.402 s, t4 = 2.412 s, t5 = 2.424 s


so range is highest - smallest. 2.432-2.393 = 0.039
and the number of values is 5

so 0.039/5 = .0078

hmm could this be the answer?
 


nvm i don't think this is the answer cause I am pretty sure i need to somehow include the instrument uncertainty in my calculations?
 


nchin said:
I believe R stands for range and N is the number of values.

values"
t1 = 2.432 s, t2 = 2.393 s, t3 = 2.402 s, t4 = 2.412 s, t5 = 2.424 s


so range is highest - smallest. 2.432-2.393 = 0.039
and the number of values is 5

so 0.039/5 = .0078

hmm could this be the answer?

I considered that, but it doesn't make sense. Why would you divide by N? If you took 1000 measurements and they all fell in this range then R/N would become very small, yet the range of scatter has stayed the same.
An engineer might take the minimum reading - .001 to max reading + .001. But I can't square that with the hint. A statistician would treat this as the sum of two independent random variables, perhaps taking each to be normally distributed. But then you have to decide how many standard deviations you mean by 'absolute error'.
 


haruspex said:
I considered that, but it doesn't make sense. Why would you divide by N? If you took 1000 measurements and they all fell in this range then R/N would become very small, yet the range of scatter has stayed the same.
An engineer might take the minimum reading - .001 to max reading + .001. But I can't square that with the hint. A statistician would treat this as the sum of two independent random variables, perhaps taking each to be normally distributed. But then you have to decide how many standard deviations you mean by 'absolute error'.

hey the answer was 0.039/5 = .0078

thanks !
 

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