Combining three measurements of same thing to find error

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Discussion Overview

The discussion revolves around the error analysis of temperature measurements taken from three type K thermocouples positioned at different locations on the same object. Participants explore how to combine the instrument error with statistical error to derive a more accurate temperature reading and its associated uncertainty.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant questions how to effectively combine the individual errors of the thermocouples with the observed stability of the temperature readings over time.
  • Another participant suggests that if the temperature remains relatively constant, the thermocouples should also reflect a consistent temperature, implying that repeated measurements might be necessary to assess this stability.
  • A participant proposes that averaging the three temperature readings could be a valid approach, while also considering the instrument error as part of the overall measurement error.
  • There is a suggestion to check the device documentation for clarity on what the quoted error value represents and to consider the propagation of errors when averaging the readings.
  • One participant notes that while the standard errors may differ, the percentage error is consistent across the readings, which should be taken into account when calculating the average temperature.

Areas of Agreement / Disagreement

Participants express differing views on the best method to combine the errors and whether averaging the readings is sufficient. There is no consensus on a definitive approach, and the discussion remains unresolved regarding the optimal error analysis technique.

Contextual Notes

Participants mention the need to consider the propagation of errors and the implications of using averages, but the specifics of these calculations and their assumptions are not fully detailed.

pablo4429
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Hi All,

So here is an error analysis question for you all:

I am measuring the temperature of an object at three positions simultaneously. They are type K thermocouples so their individual error is 0.75% of their reading.

However, I can also take long term data which shows that their individual temperatures wander much less than that.

The question is, how do I combine the instrument error with the statistical error to get the actual temperature and error on that temperature of the object?

I am hoping since there are three thermocouples, I can leverage them off of each other to get a more accurate and precise value. I am going to check the Squires book soon but I am unsure of what this process would be called to start the lookup process.

This page looks promising, I think it is similar to what I want except that I would just extend the calculation to three measurements from two, would you agree?

http://isi.ssl.berkeley.edu/~tatebe/whitepapers/Combining Errors.pdf

Thanks a ton!
Paul
 
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Each temperature reading should be recorded to the accuracy of the instrument (unless the operator is less accurate). The extra DP are surplus to requirements and should be discarded as providing no further information.

Consider - if the temperature of the plate is prett constant with time, then wouldn't the thermocouples indicate a fairly constant temperature too? It may be the wrong constant temperature. To see how constant it is, you'd have to restart the measurement from scratch. In which case you would be taking repeated measurements.
 
Ah ok. So would the best way to claim the temperature to be take an average of the three instruments measuring the same object and just claim the instrument error as the measurement error even though the final measurement is an average?

Thanks again.
 
You should check the device documentation to see what the quoted error value means.
In general - if you estimate a value of something by the average of N independent measurements, each with standard error s, then the std error on that average is s/√N

I your case the standard errors may not be the same - but you do have the same percentage error on each reading. So you need to propagate the percentage error through the calculation for the average temperature.

##\bar T = \frac{1}{3}(T_1+T_2+T_3)##

... do you know how to propagate errors?
 

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