Why is the Error Larger Than the Area in Calculations?

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In summary, when calculating the error in a function, such as the area of a rectangle, each variable has its own error contribution that must be taken into account. For example, when calculating the area of a rectangle using measurements of its length and width, the errors in each measurement must be considered to determine the overall error in the area calculation. This is done by finding the relative contribution of each variable's error and then summing them together to find the overall error. In the given example, the overall error in the area of the rectangle is equal to 0.015 times the area.
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athrun200
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I don't know why the error is lager than the area.
Is it possible?
 

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  • #2
For each type of function there is a different error calculation

for let's say x = tsin(sy) the error would be

Δx = (Δy)tscos(sy) where t and s are some arbitrary constants

and something like

x = tzy were t is an arbitrary constant

then

(Δx/x)2 = (Δz/z)2 + (Δy/y)2 + 2(Δzy)2/zy

where 2(Δzy)2/zy is the covariance factor which i doubt you need to include.

so Δx = x√(all error added together and squared individually)

so

error calculations are a pain in the but in upper level physics studies but they are a necessity.

I'll give you an different example in case it doesn't make a lot of sense

Suppose that the area of a rectangle A=LW is to be determined from the following measurements of lengths of two sides:

L = 22.1 ± 0.1cm W= 7.3 ± 0.1cm

The relative contribution of ΔAL to the error in L will be

ΔAL/A = ΔL/L = 0.1/22.1 = 0.005

and the corresponding contribution of ΔAW will be

ΔAW/A = ΔW/W = 0.1/7.3 = 0.014

Thus ΔA will equal

ΔA = A√( 0.0142 + 0.0052)

ΔA = 0.015A
 
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FAQ: Why is the Error Larger Than the Area in Calculations?

Can we completely eliminate error in scientific research?

No, it is not possible to completely eliminate error in scientific research. Error is an inherent part of the scientific process and can arise from a variety of sources, including human error, measurement limitations, and external factors. However, scientists use rigorous methods to minimize and account for error in their research.

How do scientists identify and address errors in their research?

Scientists use a variety of methods to identify and address errors in their research. This can include conducting thorough literature reviews, replicating experiments, and using statistical analysis to identify and account for potential sources of error. Additionally, peer review and collaboration with other scientists can help to identify and address errors in research.

Are errors always a bad thing in scientific research?

No, errors are not always a bad thing in scientific research. While they can impact the accuracy and reliability of results, they can also lead to new discoveries and insights. Scientists often learn from their mistakes and use them to improve their methods and understanding of a topic.

How do scientists communicate potential errors in their research?

Scientists are expected to be transparent about potential errors in their research. This can include clearly stating limitations and potential sources of error in their methods and results, as well as discussing any unexpected or conflicting findings. Additionally, scientists may publish follow-up studies or updates if errors are discovered after publication.

Can errors be beneficial in scientific research?

Yes, errors can be beneficial in scientific research. While they may initially lead to unexpected or incorrect results, they can also spark new ideas and avenues for further research. Additionally, identifying and addressing errors can help to strengthen the reliability and validity of scientific findings.

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