How Do You Solve Complex Error Propagation Problems?

In summary, the conversation discusses a question about accuracy and error, specifically regarding a problem involving (102 ± 32)^5. The solution is found by using the formula (a ± b)^n = (a^n ± nb*a^(n-1)*b) and applying it to the given problem. The resulting answer is (1.02 ± 0.8) * 10^10.
  • #1
cold-peak
1
0
[SOLVED] Accuracy & Error

Hi Everyone,

Just a quick question regarding Accuracy & Error.

We have been doing this for a little while (University) and I'm slightly confused with one of the problems.

I am able to do something like this and achieve the working and answer:

Code:
(7.3 ± 0.4) x (1.2 ± 0.6)    /     (5.4 ± 1.3)

ie: 1.3 * 5.4 = 7.02

0.6/1.3 = 0.46
1.3/5.4 = 0.24

Square root of: 0.46^2 + 0.24^2 = 0.52

= 0.52 * 7.02 = 3.65 to take it out of fractional error form

= (7 ± 3.6) / (5.4 ± 1.3)

= 7/5.4 = 1.29

3.6/7 = 0.51

1.3/5.4 = 0.24

= square root of: 0.51^2 + 0.24^2 = 0.56

= 0.56 * 1.29= 0.7 (to take it out of fractional error form)

ans = (1.3 ± 0.7) * 10^4 etc

However, when presented with this, I am not sure how to approach it:

Homework Statement


Code:
(102 ± 32)^5

2. The attempt at a solution
I'm just not sure what to do to it... The answer is:
Code:
 (1.1 ± 0.8) * 10^10
Just not sure how to get there, any help?EDIT: SOLVED - Was being silly!
Thanks
 
Last edited:
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  • #2
for the help!Solution: (102 ± 32)^5 = (102^5 ± 32*5*102^4) = (10205760 ± 1.6 * 10^10) = (1.02 * 10^10 ± 0.8 * 10^10) = (1.02 ± 0.8) * 10^10
 
  • #3
for the update on your question. It seems like you have already solved the problem and found the answer to be (1.1 ± 0.8) * 10^10. This is great! It's important to understand that when dealing with measurements and calculations, there will always be some degree of error or uncertainty. This is why it's important to properly account for and calculate with these errors in order to provide a more accurate and reliable result.

In terms of your approach to solving the problem, it seems like you used the error propagation formula to calculate the error in your final result. This is a valid method and can be used in a variety of situations. However, it's important to also consider the type of error present in your measurements. Is it a random error or a systematic error? This can also affect your approach to handling the error and calculating the final result.

Overall, great job on solving the problem and keep up the good work in your studies! Remember to always carefully consider and account for error in your scientific work to ensure accurate and reliable results.
 

Related to How Do You Solve Complex Error Propagation Problems?

1. What is accuracy and why is it important in scientific research?

Accuracy refers to how close a measurement or observation is to the true or accepted value. In scientific research, accuracy is crucial because it ensures that the data collected is reliable and can be used to draw valid conclusions.

2. How is accuracy different from precision?

Accuracy and precision are often used interchangeably, but they have different meanings. Precision refers to the consistency of measurements, while accuracy refers to how close the measurements are to the true value.

3. What are some possible sources of error in scientific experiments?

There are several sources of error in scientific experiments, including human error, equipment malfunction, environmental factors, and systematic errors in the experimental design. It is important to identify and minimize these errors to ensure accurate results.

4. How can you calculate the margin of error in a scientific study?

The margin of error in a scientific study can be calculated by taking the standard deviation of the data and dividing it by the square root of the sample size. This will give a range within which the true value is likely to fall.

5. What are some ways to improve accuracy in scientific experiments?

To improve accuracy in scientific experiments, researchers can use precise and calibrated equipment, repeat measurements multiple times, control for environmental factors, and avoid systematic errors in the experimental design. Peer review and replicating the experiment by other researchers can also help to ensure accuracy.

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