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Post by cstraatsma on Nov 6, 2023 12:58:11 GMT -5
We ordered a bunch of calibrated DT-670 sensors a few months ago, and I'm a little confused on how to propagate uncertainties from the information provided in the Certificate of Calibration. On the 4th page a table is provided that gives k=2 uncertainties for 10 different temperature points. However, uncertainties are not given for the individual as-measured data points on page 3, or for the polynomial equations on pages 5 and 6.
How should the uncertainty data on page 4 be translated to the as-measured data or the polynomial equation data?
Thanks,
Cameron
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Post by vickigowan on Feb 19, 2024 3:42:21 GMT -5
We ordered a bunch of calibrated DT-670 sensors a few months ago, and I'm a little confused on how to propagate uncertainties from the information provided in the Certificate of Calibration. On the 4th page a table is provided that gives k=2 uncertainties for 10 different temperature points. However, uncertainties are not given for the individual as-measured data points on page 3, or for the polynomial equations on pages 5 and 6. How should the uncertainty data on page 4 be translated to the as-measured data or the polynomial equation data? Thanks, Cameron |
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Post by vickigowan on Feb 19, 2024 3:43:23 GMT -5
Uncertainty propagation for the DT-670 sensor involves analyzing factors influencing measurement accuracy, such as calibration errors, punjabeducare.in environmental conditions, and sensor drift. By understanding and quantifying these uncertainties, users can assess the reliability of data collected, ensuring confidence in sensor readings for precise and informed decision-making. |
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