Resolution, precision, accuracy, repeatability: Difference between revisions
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If my multimeter shows me 1.153 volts, it makes it easy to assume its accuracy is three digit's worth (around 0.1%). | If my multimeter shows me 1.153 volts, it makes it easy to assume its accuracy is three digit's worth (around 0.1%). |
Revision as of 15:50, 29 March 2024
✎ This article/section is a stub — some half-sorted notes, not necessarily checked, not necessarily correct. Feel free to ignore, or tell me about it.
Accuracy is how far measurements are from their true value (which is sometimes a standard value).
- how you know that true value itself to more accuracy is a good question, though mostly amounts to more work.
Precision is largely about how consistent measurements are
- measurements can be very precise but not at all accurate - e.g. a precision instrument that is consistently off to one side due to bad calibration
- it may then be that calibration is the only thing keeping it from being a lot more accurate -- OR things may be a lot messier and more complex
Resolution is (usually) the units in which is reported (or controlled)
- resolution often hints at the order of accuracy and/or precision, but this can be misleading
- yet high resolution is also a great way to hint at more accuracy and/or precision than you really have
- e.g. does your 4-digit multimeter always show accurate digits? How would you tell?
Repeatability asks that when you later return to the same true value, how stable your measurement of it is
- this is much like precision, but focuses more on the tool or the machine, than the measurement.
- If repeatability is contrasted with reproducibility, then
- repeatibility is often a "can one person on one instrument get the same measurement again", and
- reproducibility is often a "if you have different operators, and/or different instruments, do they get the same measurement?"
- Resolution and repeatability are also words used when asking how well you can actuate/control something - which also makes things more complex because both the control and the measurement of the result may each have their own precision/accuracy details.