Precision is a way to measure how close together a number of measurements or observations are. It’s often used in scientific experiments or measurements, where it’s important to make sure the results are reliable and consistent. Depending on the type of measurement or observation being made, there are different ways to talk about precision.
In general, precision is the degree to which a measurement or observation can be repeated or stays the same. If a measurement is precise, it means that if you measure the same thing more than once, the results are likely to be very similar. For example, a measurement is said to be precise if a scientist measures the length of a piece of string more than once and each measurement is very close to the others.
Accuracy, on the other hand, is a measure of how close a measurement or observation is to the real or expected value. A measurement can be exact but not accurate if it always gives results that are off by the same amount from what the real value is. For example, a scale’s measurements are precise but not accurate if it always says a person weighs 2 pounds more than they really do.
In scientific experiments, statistical measures like standard deviation or variance are often used to measure how precise the results are. These measures give a way to figure out how much a set of measurements or observations varies or spreads. The standard deviation or variance will be less the more accurate the measurements are.
In short, precision is a measure of how often or consistently a measurement or observation can be done again. In scientific experiments or measurements, it is an important thing to think about because it helps make sure that the results are reliable and consistent.
Usage
It is used in performance management
