Understanding Precision, Accuracy and Uncertainties
Precision and accuracy might sound similar, but they're completely different concepts. Precision tells you about the number of significant figures in your measurement and how exact your instrument is. The more precise your instrument, the more reliable your readings become.
Accuracy, on the other hand, tells you how close your measurement is to the true value. This depends entirely on the quality of your measuring device. You could have a very precise instrument that consistently gives you the wrong answer!
Uncertainty represents the range of possible values that aren't 100% accurate but still fall within an acceptable range of the true value. Think of it as acknowledging that no measurement is perfect - there's always some doubt involved.
Key Point: You can have precise measurements that aren't accurate, and accurate measurements that aren't very precise. The best experiments aim for both!
There are two main types of uncertainties you'll encounter: random uncertainty occurs when you repeat experiments and get different results each time, whilst systematic uncertainty happens when all your readings are consistently too high or too low due to calibration errors or poor experimental design.
