You should combine the measurements using proper uncertainty propagation and report the final value with the correct number of significant figures and an explicit uncertainty.
When different instruments give measurements with different precision, think of each measurement as a value plus or minus an uncertainty that tells how sure you are. To get a single best result, use the weighted average when uncertainties differ: give more precise measurements more influence and less precise ones less, by weighting each value by one over its variance. Then calculate the combined uncertainty using the formula for the weighted mean or by adding variances appropriately when quantities are summed or multiplied, so the final uncertainty reflects how the separate errors combine.
A common mistake is reporting too many digits without showing the uncertainty, which makes the result seem more exact than it is; fix that by rounding the result to match the precision of the uncertainty. Another mistake is treating all measurements as equally precise when they are not, which biases the average toward noisy data; fix that by using weights based on the uncertainties. Some students forget to propagate uncertainty through calculations like multiplication or division; remember to convert errors into relative uncertainties, combine them correctly, then convert back to an absolute uncertainty and round.
For more videos and resources on uncertainty propagation and significant figures, check out w w w dot gumball degree dot com.
Combining Measurements with Different Precisions
- Treat measurements as value plus uncertainty
- Use weighted average for differing uncertainties
- Weight by one over variance
- Give precise measurements more influence
- Calculate combined uncertainty from variances
Common Mistakes in Reporting Measurement Uncertainty
- Reporting too many digits without uncertainty
- Treating all measurements as equally precise
- Forgetting to propagate errors through calculations
measurement, uncertainty, significantfigures, weightedaverage, errorpropagation, dataanalysis, instrumentprecision, experimentalerrors, labtechniques, scientificreporting
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