Error Calculation in Multiplication of two measurement points

In summary, the conversation discusses the method for calculating the thickness of a coating material inside a tube by subtracting the before and after coat diameters and dividing by two. The formula for the coating thickness is provided, along with the standard deviation error for each measurement. The minimum and maximum thickness values are calculated using error propagation, resulting in a final coating thickness value of 0.0028" with an associated error of +/- 0.00102".
  • #1
brad gover
1
0

Homework Statement


Hi All, I have a problem in calculating the thickness of a coating material inside a tube. The tubes inside diameter is measured before and after coating. The coating thickness is calculated by substracting the diameters and dividing by two to get the thickness of the coated material. The before coat diameter is 0.3949". The after coat diameter is 0.3893". The measurement error's standard deviation is 0.00017". I need to calculate the coating thickness value and its associated error.


Homework Equations


Coating Thickness = (Before Coat Dia. - After Coat Dia.)/2


The Attempt at a Solution


I am thinking the thickness without error = (0.3949 - 0.3893)/2 = 0.0028"

My error for each measurement would be measured value +/- 3 x the Standard Deviation Error.
For uncoated = 0.3949" +/- 0.00051"
For Coated = 0.3893" +/- 0.00051

The minimum thickness = (0.3949 - .00051) - (0.3893 + 0.00051) = 0.00458"

The maximum thickness = (0.3949 + 0.00051) - (0.3893 - .00051) = 0.00662"

Error Thickness = (.00662 - 0.00458)/2 = 0.00102"

Coating Thickness = 0.0028" +/- 0.00102"?
 
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  • #2
There are standard formulas for doing this. Look up 'propagation of errors' in Bevington or some similar book.
 

Related to Error Calculation in Multiplication of two measurement points

What is the purpose of calculating error in multiplication of two measurement points?

The purpose of calculating error in multiplication of two measurement points is to determine the accuracy and reliability of the calculated result. It allows us to understand the potential range of values that the result could fall within and how much confidence we can have in the result.

How is error calculated in multiplication of two measurement points?

Error in multiplication is calculated by taking the product of the two measurements and multiplying it by the sum of the percentage errors of each measurement. This gives us the overall percentage error of the multiplied result.

Why is it important to consider error in multiplication of two measurement points?

It is important to consider error in multiplication because errors in individual measurements can accumulate and result in a significantly different final value. By understanding and accounting for error, we can have a more accurate and precise result.

What factors can contribute to error in multiplication of two measurement points?

There are several factors that can contribute to error in multiplication, such as human error in taking the measurements, limitations of the measuring instruments, environmental conditions, and the inherent uncertainty in any measurement.

How can we reduce error in multiplication of two measurement points?

To reduce error in multiplication, we can take multiple measurements and calculate the average, use more precise measuring instruments, carefully follow measurement procedures, and account for any known sources of error. It is also important to properly estimate and report the uncertainty in the measurements.

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