How Do We Calculate Equivalent Resistance with Measurement Errors?

In summary, we have an equation \frac{1}{R}=\frac{1}{R_1}+\frac{1}{R_2} representing the equivalent resistance of R_1 and R_2. There is an error in the measurements of R_1 and R_2 of \Delta R_1 and \Delta R_2 respectively. It is correct that \frac{\Delta R}{R^2}=\frac{\Delta R_1}{{R_1}^2}+\frac{\Delta R_2}{{R_2}^2} and the propagation of error can be calculated using the derivatives \frac{\partial R}{\partial R_{1}} = \frac{R_{
  • #1
Quantumkid
4
0
we write [tex]\frac{1}{R}=\frac{1}{R_1}+\frac{1}{R_2}[/tex] where R is the equivalent resistance of [tex]R_1[/tex] and [tex]R_2[/tex].

Let there is an error in the measurements of [tex]R_1[/tex] and [tex]R_2[/tex] of [tex]\pm[/tex] [tex]\Delta R_1[/tex] and
[tex]\pm [/tex][tex]\Delta R_2[/tex] respectively.
Is it correct that
[tex]\frac{\Delta R}{R^2}=\frac{\Delta R_1}{{R_1}^2}+\frac{\Delta R_2}{{R_2}^2}[/tex] ?

EDIT: Corrected
 
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  • #2
There is an error in the measurements of [tex]R_1[/tex] and [tex]R_2[/tex] of [tex]\Delta R_1[/tex] and [tex]\Delta R_2[/tex] respectively.
It is correct that [tex]\frac{\Delta R}{R^2}=\frac{\Delta R_1}{{R_1}^2}+\frac{\Delta R_2}{{R_2}^2}[/tex]
 
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  • #3
Bump!
Nobody tried to solve it.
 
  • #4
I'm a bit new to this but I believe what you want is propagation of error, which in this case would be given by:

[tex]\Delta R = \sqrt{(\frac{\partial R}{\partial R_{1}} \Delta R_{1})^{2} + (\frac{\partial R}{\partial R_{2}} \Delta R_{2})^{2}}[/tex]

and the derivatives would be:
[tex]\frac{\partial R}{\partial R_{1}} = \frac{1}{R_{1}^{2}} (R_{1}^{-1} + R_{2}^{-1})^{-2}[/tex]

and similarly for R2.


The best online explanation I could find is here:
http://teacher.pas.rochester.edu/PHY_LABS/AppendixB/AppendixB.html
scroll down to almost the bottom where is has the title "Propagation of Errors".
 
  • #5
BTW, this
Gear.0 said:
[tex]\frac{\partial R}{\partial R_{1}} = \frac{1}{R_{1}^{2}} (R_{1}^{-1} + R_{2}^{-1})^{-2}[/tex]

reduces to

[tex]\frac{\partial R}{\partial R_{1}} = \frac{R_{2}^{2}}{(R_{1} + R_{2})^{2}}[/tex]

Also, this reference
Gear.0 said:
The best online explanation I could find is here:
http://teacher.pas.rochester.edu/PHY_LABS/AppendixB/AppendixB.html
scroll down to almost the bottom where is has the title "Propagation of Errors".
is really great. Thanks.
 

FAQ: How Do We Calculate Equivalent Resistance with Measurement Errors?

What are the types of errors in scientific analysis?

The types of errors in scientific analysis include systematic errors, random errors, and human errors. Systematic errors are consistent and can be attributed to flaws in the experimental design or equipment. Random errors are unpredictable and can be caused by factors such as variations in measurements or environmental conditions. Human errors are mistakes made by the researcher during the experimental process.

How can errors be minimized in scientific analysis?

Errors can be minimized in scientific analysis by using precise and accurate equipment, following standardized protocols and procedures, and conducting multiple trials to account for variations. It is also important to identify and eliminate any potential sources of systematic errors, and to carefully record and analyze data to identify and correct any random errors.

What is the role of statistics in error analysis?

Statistics play a crucial role in error analysis by providing tools to quantify and characterize errors. These tools include measures of central tendency, such as mean and median, and measures of variability, such as standard deviation and range. By using these statistical methods, researchers can identify and analyze patterns in their data, and determine the significance of any observed errors.

What is the difference between accuracy and precision in scientific analysis?

Accuracy refers to how close a measurement is to the true or accepted value, while precision refers to how close multiple measurements of the same quantity are to each other. In scientific analysis, it is important to strive for both accuracy and precision, as a measurement can be precise but not accurate, or accurate but not precise.

How do scientists account for errors in their results?

Scientists account for errors in their results by reporting the margin of error or uncertainty associated with their measurements. This can be done through the use of error bars or confidence intervals in data visualizations, or by including a statement of uncertainty in the results section of a research paper. Scientists also discuss potential sources of errors and their impact on the results, and may conduct sensitivity analyses to determine the robustness of their findings.

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