How Do You Calculate Error Propagation for Logarithmic Functions?

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SUMMARY

This discussion focuses on calculating error propagation for logarithmic functions, specifically estimating absolute and relative standard deviations for the expression z=5.64(s=0.14)*log(138)(s=3). Two methods were proposed: the first calculated the standard deviation (SZ) as 1.40, resulting in a relative standard deviation (RSD) of 11.6%. The second method yielded an RSD of 0.08% by treating the uncertainties differently. The preferred approach suggested using the root sum of squares (RSS) of relative uncertainties for more accurate results.

PREREQUISITES
  • Understanding of logarithmic functions and their properties
  • Familiarity with standard deviation and relative standard deviation calculations
  • Knowledge of error propagation techniques in mathematical expressions
  • Proficiency in using the root sum of squares (RSS) method for combining uncertainties
NEXT STEPS
  • Study error propagation in logarithmic functions using the product rule
  • Learn about the root sum of squares (RSS) method for combining uncertainties
  • Explore the concept of relative uncertainty in measurements
  • Review practical applications of standard deviation in scientific calculations
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Students in physics or engineering, researchers performing data analysis, and anyone involved in calculations requiring error propagation in logarithmic functions.

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1. Homework Statement
Estimate the absolute and relative standard deviations of the following calculations. The number in parentheses is the standard deviation of the preceding value.

a) z=5.64(s=0.14)*log(138)(s=3)

2. Homework Equations
Sx/x =SQRT((Sp/P)2+(Sq/q)2+(Sr/R)2

Sx=0.434(Sp/P)

3. The Attempt at a Solution

I thought of two ways to go about the problem I am not sure which way is correct here are both attempts:

log(138)= 2.139
Z=12.069
SZ=SQRT((0.14/5.64)2+(3.0/2.139)2)=1.40
Z=12.07 LaTeX Code: \\pm 1.40

RSD=(1.4/12.07)*100 =11.6%

Or my other attempt:

Z=12.07
(0.14/5.64)2+(0.434*(3.0/138))=0.01
Z=12.07LaTeX Code: \\pm 0.01
RSD=(0.01/12.07)*100=0.08%

Are either of these ways correct? Any help would be appreciated. Thanks.
 
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prize fight said:
1. Homework Statement
Estimate the absolute and relative standard deviations of the following calculations. The number in parentheses is the standard deviation of the preceding value.

a) z=5.64(s=0.14)*log(138)(s=3)

2. Homework Equations
Sx/x =SQRT((Sp/P)2+(Sq/q)2+(Sr/R)2

Sx=0.434(Sp/P)

3. The Attempt at a Solution

I thought of two ways to go about the problem I am not sure which way is correct here are both attempts:

log(138)= 2.139
Z=12.069
SZ=SQRT((0.14/5.64)2+(3.0/2.139)2)=1.40
Z=12.07 LaTeX Code: \\pm 1.40

RSD=(1.4/12.07)*100 =11.6%

Or my other attempt:

Z=12.07
(0.14/5.64)2+(0.434*(3.0/138))=0.01
Z=12.07LaTeX Code: \\pm 0.01
RSD=(0.01/12.07)*100=0.08%

Are either of these ways correct? Any help would be appreciated. Thanks.

I would choose a different approach. For:

z=5.64(s=0.14)*log(138)(s=3)

Certainly the RSS of the relative uncertainties is a good method. But in that regard I would prefer to treat the relative error of the 3/138 as really the relative uncertainty of the range of Log(138 ±3) which looks to me more like 2.14±.01, because that is the effect on the final result, as opposed to the 3/138.

Then I would choose to take the RSS of these relative terms according to the product rule.

((.14/5.64)2 + (.01/2.14)2)1/2

And calculate the absolute uncertainty from that expression.
 

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