Question

How might one lessen uncertainty?

Answer 1

Uncertainty of a measured value is an interval around that value such that any repetition of the measurement will produce a new outcome that lies within this interval.

There is always some uncertainty in all measurements. The measurement inaccuracy is what we refer to as uncertainty.

Errors can be divided into two groups:

1. Systematic errors are mistakes brought on by out-of-calibrated measuring equipment. Such measurements will continually be off in either direction. By doing a pre-calibration against a recognized, reliable standard, these mistakes can be removed.
2. Random mistakes are errors that cause measurements of the same quantity to vary from the average. Both too large and too tiny measures are equally likely. These inaccuracies typically come from how precisely a measurement equipment divides its scale.

Uncertainty can be reduced in the following ways:

1. During the experiment take more data and repeat the experiment for different `values of the outcome so that repeatability data allows, so that reproducibility of data allows us to analyze and observe the variability of reproducing measurement outcomes.
2. Choose better calibration equipment and a standard laboratory so that outside environmental errors can be neglected and accurate results can be found.
3. Remove measurement bias. The systematic error coupled to your standard's or artefact's calibration values is known as bias. We decrease the uncertainty around our comparisons by eliminating bias.