Measurement correction and uncertainty

In summary, the corrected measurement result is 140.125 °C ± 0.105 °C with a reference thermometer measurement of 135.14 °C and a calibration measurement of 140.11 °C. The uncertainty of the reference thermometer is 0.05 °C and the uncertainty of the bath is 0.07 °C. This solution was provided with the help of a calibration process.
  • #1
urh
1
0
Give a measurement result by the correction and uncertainty in the calibration of the thermometer indicator! With reference thermometer are measured 135.14 ° C, with another thermometer which was calibrated with reference we got the following values: 140.15 ° C 140.14 ° C 140.13 ° C 140.12 ° C 140.11 ° C 140.12 ° C, 140.13 C, 140.14 C, 140.12 C, 140.13 ° C. The uncertainty of the reference thermometer is 0.05 ° C, the uncertainty of the bath in which you calibrated amounts to 0.07 ° C

I am asking for solution, how to solve the problem.

Thanks for help.
 
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  • #2
The corrected measurement result of the thermometer indicator after calibration is: 140.125 °C ± 0.105 °C. The uncertainty was determined by combining the uncertainties of the reference thermometer (0.05°C) and the bath (0.07°C).
 
  • #3


I understand the importance of accurate measurements and the impact that measurement correction and uncertainty can have on scientific data. In the case of the thermometer indicator, the correction and uncertainty in the calibration process can greatly affect the final measurement result.

In this situation, we have two sets of measurements - one from a thermometer calibrated with a reference thermometer, and another from a reference thermometer itself. The measurements from the calibrated thermometer are consistently higher than those from the reference thermometer, indicating a potential error in the calibration process.

To address this issue, we need to first determine the correction factor that needs to be applied to the measurements from the calibrated thermometer. This can be done by taking the average of the difference between the two sets of measurements, which in this case is 0.05 °C. This means that the calibrated thermometer consistently reads 0.05 °C higher than the reference thermometer.

Next, we need to consider the uncertainty of the reference thermometer and the bath in which the calibration was done. The uncertainty of the reference thermometer is given as 0.05 °C, which means that the actual temperature could be anywhere within a range of 0.05 °C above or below the measured value. Similarly, the uncertainty of the bath is given as 0.07 °C, which means that the actual temperature in the bath could be anywhere within a range of 0.07 °C above or below the set temperature.

Taking all of this into account, we can provide a measurement result that accounts for both the correction factor and the uncertainties. The corrected measurement from the calibrated thermometer would be 140.09 °C (140.14 - 0.05). However, to account for the uncertainties, we must also provide an uncertainty range. This would be ±0.12 °C, taking into account the uncertainties of both the reference thermometer and the bath.

In conclusion, the corrected measurement from the calibrated thermometer is 140.09 °C ± 0.12 °C. This provides a more accurate and reliable measurement result, taking into account the correction factor and uncertainties in the calibration process.
 

What is measurement correction?

Measurement correction is the process of adjusting or correcting a measured value to account for any known errors or sources of uncertainty. This is important in scientific research as it ensures that the measured values are as accurate as possible.

Why is measurement correction important?

Measurement correction is important because it allows for more accurate and reliable data analysis. Without correction, measurement errors or uncertainties can significantly impact the results and conclusions of a study. Correction helps to minimize these effects and improve the overall accuracy of the measurements.

What is uncertainty in measurement?

Uncertainty in measurement refers to the range of possible values that a measured quantity could potentially have due to limitations in the measurement process. It is a measure of the doubt or lack of confidence in the measured value.

How is uncertainty calculated?

Uncertainty is typically calculated by considering all possible sources of error or variability in the measurement process and quantifying their impact on the final result. This can be done using statistical methods, calibration, or by using known reference standards.

How can uncertainty be reduced?

Uncertainty can be reduced by improving the measurement process, such as using more precise instruments, ensuring proper calibration, and reducing sources of error. It is also important to properly calculate and account for uncertainty when analyzing and reporting data.

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