Calibration Uncertainty for average results when digital meter used for readings

In summary, to calculate the total uncertainty for a measurement, you must use the equation square root of the reading uncertainty squared + calibration uncertainty squared + random uncertainty squared. The calibration uncertainty for a digital meter is plus or minus 0.5% of the reading + 1 in the least significant digit. To calculate the calibration uncertainty for each measurement, you need to convert 0.5% of the reading into an actual value and add 1 to the least significant digit. This value is then added to the equation to get the total uncertainty.
  • #1
JohnayG
5
0
Hello,

I am trying to work out the total uncertainty for a measurement, so am using the square root of the reading uncertainty squared + calibration uncertainty squared + random uncertainty squared equation.

I have found in a textbook of mine that the calibration uncertainty for a digital meter (which i used to measure all my results for voltage) is plus or minus 0.5% of the reading + 1 in the least significant digit. Now i have made up tables with all my results for V already, but does this mean i have to put in a calibration uncertainty for every single measurement made; i.e. V at 10ms, V at 30ms etc? And also how would i work out a value to use for the whole calibration uncertainty to use in the equation?

Thanks very much for your time
 
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  • #2
.The calibration uncertainty of 0.5% of the reading + 1 in the least significant digit means that for each measurement you make, you must calculate a separate calibration uncertainty and add it to the square root of the sum of the reading uncertainty and random uncertainty squared. To calculate the calibration uncertainty for each measurement, you need to first convert the 0.5% of the reading into an actual value. To do this, you can use the following formula: 0.005 * reading = calibration uncertainty. For example, if your reading was 10V, then your calibration uncertainty would be 0.05V. Then, you would add 1 to the least significant digit to get your total calibration uncertainty. In this case, it would be 0.06V. Once you have calculated the calibration uncertainty for each measurement, you can add them into the equation to get the total uncertainty. I hope this helps!
 

FAQ: Calibration Uncertainty for average results when digital meter used for readings

What is calibration uncertainty?

Calibration uncertainty is the amount of uncertainty or error in a measurement that is caused by the calibration process. It takes into account factors such as the accuracy of the calibration equipment and the skill of the technician performing the calibration.

How is calibration uncertainty calculated?

Calibration uncertainty is typically calculated by comparing the actual measurement of a known standard to the measurement obtained from the calibrated equipment. The difference between the two measurements is the calibration uncertainty.

3. How does using a digital meter affect calibration uncertainty for average results?

Using a digital meter can actually decrease calibration uncertainty for average results because digital meters are typically more accurate and precise than analog meters. This means that the measurements obtained from a digital meter are less likely to have a large margin of error, resulting in a lower calibration uncertainty.

4. Are there any other factors that can affect calibration uncertainty for average results?

Yes, there are several other factors that can affect calibration uncertainty for average results. These include environmental conditions (such as temperature and humidity), human error, and the stability of the equipment being calibrated.

5. What is the importance of considering calibration uncertainty for average results?

Considering calibration uncertainty for average results is important because it allows us to understand the potential error in our measurements. This helps us to make more accurate and reliable conclusions based on the data we collect. It also helps to ensure that our equipment is functioning properly and that our results are valid.

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