Determine the uncertainties

In summary, the uncertainty of the ratio (a+b)/(c+d) when a=b=c=d and σ_a = σ_b = σ_c = σ_d is equal to σ_a/a. This is because when evaluating a ratio, only relative errors matter and the factors √2 and 2 cancel out. This result is not the same as the uncertainty in a single measurement, which would be σ_a.
  • #1
lavster
217
0

Homework Statement


what is the uncertainty of [tex] \frac{a+b}{c+d} [/tex] if a=b=c=d and [tex] σ_a = σ_b =σ_c=_d [/tex]

Homework Equations



[tex] σ_{a+b}=√(σ_a^2+σ_b^2) [/tex]

[tex] σ_{\frac{a}{b}}=√((\frac{σ_a}{a})^2+(\frac{σ_b}{b}^2)) [/tex]

The Attempt at a Solution


since a=b=c=d

[tex]
σ_{a+b}=√2 σ_a [/tex]

[tex] σ_{\frac{a}{b}}=√2 \frac{σ_a}{a} [/tex]

so [tex] σ_{\frac{a+b}{c+d}} = \frac{√2 √2 σ _a}{2a} = \frac{σ_a}{a} [/tex]

is this correct?!

Thanks
 
Last edited:
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  • #2
The result looks good to me!
 
  • #3
Great thanks :) any idea why it is the same as the uncertainty in a single measurement... Just doesn't seem right to me! Xxx
 
  • #4
It is NOT the same as the uncertainty in a single measurement! That would be ##\sigma_a##. Since you are evaluating a ratio, only relative errors matter. The factors ##\sqrt 2## and 2 just happen to cancel.

You can repeat the exercise with ##{a+b+c}\over e+f+g## and see what happens...
 
  • #5
for your question. As a scientist, it is important to be precise and clear in our responses, so let me walk you through my thought process in determining the uncertainties in this scenario.

First, let's define our terms. The uncertainty, or error, in a measurement is a measure of how much the measured value may vary from the true value. In this case, we are dealing with the uncertainty in the expression \frac{a+b}{c+d}, where a, b, c, and d are all variables with associated uncertainties (σ_a, σ_b, σ_c, and σ_d).

Next, let's consider the given information. We are told that a=b=c=d, meaning that all the variables have the same value. Additionally, we are given the uncertainties in each variable, σ_a, σ_b, σ_c, and σ_d. From this information, we can see that the uncertainties are all equal, and we can represent this as σ_a = σ_b = σ_c = σ_d = σ.

Now, we can use the uncertainty propagation formula to calculate the uncertainty in our expression. This formula tells us that for a function of multiple variables, f(a,b,c,...), the uncertainty in the output, σ_f, is given by:

σ_f = √((∂f/∂a)^2 * σ_a^2 + (∂f/∂b)^2 * σ_b^2 + (∂f/∂c)^2 * σ_c^2 + ...)

In our case, our function is \frac{a+b}{c+d}, so we can plug in the values and simplify:

σ_{\frac{a+b}{c+d}} = √((∂(\frac{a+b}{c+d})/∂a)^2 * σ_a^2 + (∂(\frac{a+b}{c+d})/∂b)^2 * σ_b^2 + (∂(\frac{a+b}{c+d})/∂c)^2 * σ_c^2 + (∂(\frac{a+b}{c+d})/∂d)^2 * σ_d^2)

= √((\frac{1}{c+d})^2 * σ^2 + (\frac{1}{c+d})^2 * σ^2 + (-\frac{a+b}{(c+d)^2})^2 * σ^2 + (-\frac{a
 

1. What is the purpose of determining uncertainties?

Determining uncertainties is a critical step in the scientific process that allows researchers to understand the accuracy and reliability of their data. By quantifying the uncertainty, scientists can make informed decisions about the validity of their results and the potential impact of any errors.

2. How do you calculate uncertainties?

The calculation of uncertainties depends on the type of data and the method of measurement. Generally, it involves identifying potential sources of error, estimating their magnitude, and combining them according to mathematical rules. This can be done using statistical analysis, experimental techniques, or mathematical models.

3. What is the difference between precision and accuracy?

Precision refers to the consistency or reproducibility of a measurement, while accuracy refers to how close the measurement is to the true or accepted value. High precision means that repeated measurements will yield similar results, while high accuracy means that the measurement is close to the true value.

4. How do you express uncertainties in scientific data?

Uncertainties are typically expressed as a range of values, such as +/- 0.5 cm or 10 ± 2%. This range represents the potential error or variability in the data and allows for a more accurate representation of the results. Additionally, uncertainties can also be represented graphically using error bars on a graph.

5. Why is it important to report uncertainties in scientific research?

Reporting uncertainties is vital in scientific research because it provides transparency and allows for the evaluation of the reliability and validity of the results. It also allows for comparisons between different studies and helps to identify potential sources of error. Reporting uncertainties also demonstrates the rigor and accuracy of the research, increasing its credibility and impact.

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