Method to usde to find percentage error

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Homework Help Overview

The discussion revolves around understanding how to calculate percentage errors in measurements, particularly in the context of physics equations involving motion. Participants are exploring the concepts of absolute and relative errors, as well as the implications of combining errors when adding or multiplying quantities.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the method for calculating percentage error, with some confirming the original poster's approach. Questions arise regarding the use of relative errors and how to handle multiple errors in equations. There is also exploration of the differences in error propagation when adding versus multiplying terms.

Discussion Status

The discussion is active, with participants providing confirmations and seeking clarifications on the methods discussed. Some guidance has been offered regarding the calculation of overall errors when combining different terms, though there is no explicit consensus on the best approach yet.

Contextual Notes

Participants are working under the constraints of homework rules, which may limit the information they can use or the methods they can apply. There is an emphasis on understanding the principles behind error calculations rather than simply obtaining a final answer.

Firepanda
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Simple question, I am not sure of the method to use to find percentage errors

Example :

Values in time = 2s Error in time = +-0.05

Percentage Error = (0.05/2)*100

+-2.5%?

Should i be using relative errors?
 
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Your answer looks correct to me. +-0.025/1 is +- 2.5%.
 
so the method is correct? :)

and i shouldn't be using relative errors?
 
What do you mean by relative error? The error would normally be relative to the quantity being measured, I would think. Is there a different kind of error that you are studying also?
 
dont worry :P the example i used is what i originally thought was correct, just wanted confirmation :)

edit*

one quick question though, if i am using the equation s = ut + 0.5at^2

and the % error in ut is 1% and the % error in 0.5at^2 is 3% then what would the overall error in s be?
 
Last edited:
Firepanda said:
one quick question though, if i am using the equation s = ut + 0.5at^2

and the % error in ut is 1% and the % error in 0.5at^2 is 3% then what would the overall error in s be?

It's usually safest to compute what the answer is without error, and then what it is with all the errors added in, and then take the ratio to see what your final errors are.

So what is the nominal anwswer in your equation with no error?

And what is the largest you can make the answer with errors included?

And what is the smallest you can make the answer with errors included?

Then your +- errors would be

(1 - biggest/nominal) * 100%

(1 - smallest/nominal) * 100%

So in your question above, you need real numbers to figure out what the % errors are. You can't just add the percentages, because they can act on very different size numbers. Does that make sense?
 
BTW, what I said above applies when you are adding terms.

Quiz Question -- Why is it different when you are multiplying terms? What is the total error for this:

A = B * C

when the error in B is +-2% and the error in C is +-3% ?
 
i think its +-5% from what I've done before

if I am correct when u multiply approximations you add the % errors

also from what u said before i assume my final error will lie in a range of the answer , s

such as if s=30 then x<30<y
 
Firepanda said:
i think its +-5% from what I've done before

if I am correct when u multiply approximations you add the % errors

1 - (1.02) * (1.03) = ?

1 - (0.98) * (0.97) = ?

So it's close to adding, but not exact.

Firepanda said:
also from what u said before i assume my final error will lie in a range of the answer , s

such as if s=30 then x<30<y

Sorry, I'm not tracking what you are saying.
 
  • #10
berkeman said:
1 - (1.02) * (1.03) = ?

1 - (0.98) * (0.97) = ?

So it's close to adding, but not exact.


so i can say that adding the % errors when multiply approximations is ok for small % errors?

forget what i was saying before, was babbling on a bit :)
 
  • #11
*edit soz was being stupid
 

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