What is the difference between data accuracy and data precision?

What is the difference between data accuracy and data precision?

Data accuracy refers to how close a measured value is to the true value, while data precision indicates the consistency of repeated measurements.

Can you give me an example of accuracy and precision in data?

Sure! If you weigh a 100g object and get 98g consistently, that's precise but not accurate. If you weigh it once and get 100g, that's accurate.

Why is it important to distinguish between the two?

Distinguishing between accuracy and precision is crucial for data quality. Accurate data leads to correct conclusions, while precise data ensures reliability in measurements.

How can I improve both accuracy and precision in my data collection?

You can improve accuracy by calibrating your instruments and ensuring proper measurement techniques, while precision can be enhanced by using consistent methods and repeated trials.