What is the difference between Accuracy and Precision?

Accuracy refers to how close a measured value is to the true or accepted value, while precision refers to how close the measured values are to each other. In other words, accuracy is a measure of how correct a measurement is, while precision is a measure of how consistent the measurements are. A measurement can be accurate but not precise, precise but not accurate, both accurate and precise, or neither accurate nor precise.

Accuracy and Precision are two important terms in measurement and data analysis. They describe how close a measurement or result is to the true value.

Accuracy refers to how close a measurement or result is to the true or accepted value. It is a measure of how much error there is in the measurement. A measurement with high accuracy is close to the true value, while a measurement with low accuracy is far from the true value.

Precision refers to how consistent a measurement or result is. It is a measure of how much variability there is in the measurement. A measurement with high precision is very consistent, while a measurement with low precision is not very consistent.

In summary, accuracy is about how close a measurement is to the true value, while precision is about how consistent a measurement is.

Here is an example to illustrate the difference between accuracy and precision:

- A dart player throws 10 darts at a target.
- The darts land in a tight cluster around the center of the target.
- This indicates high precision, as the darts are all very consistent.
- However, the cluster of darts is far from the bullseye.
- This indicates low accuracy, as the darts are not close to the true value (the bullseye).