Accuracy and Precision

They mean slightly different things!


Accuracy is how close a measured value is to the actual (true) value.


Precision is how close the measured values are to each other.


Examples of Accuracy and Precision:

hi accuracy low precision low accuracy hi precision hi accuracy hi precision
High Accuracy
Low Precision
Low Accuracy
High Precision
High Accuracy
High Precision

So, if you are playing soccer and you always hit the left goal post instead of scoring, then you are not accurate, but you are precise!

How to Remember?

Bias (don't let precision fool you!)

When we measure something several times and all values are close, they may all be wrong if there is a "Bias"

Bias is a systematic (built-in) error which makes all measurements wrong by a certain amount.

Examples of Bias

In each case all measurements are wrong by the same amount. That is bias.

Degree of Accuracy

Accuracy depends on the instrument we are measuring with. But as a general rule:

The degree of accuracy is half a unit each side of the unit of measure


When an instrument measures in "1"s
any value between and is measured as "7"
7 plus minus 0.5
When an instrument measures in "2"s
any value between 7 and 9 is measured as "8"
8 plus minus 1

(Notice that the arrow points to the same spot, but the measured values are different!
Read more at Errors in Measurement. )