It is important to be both reliable and precise when taking scientific measurements. Precision indicates how similar a metric is to its true meaning. This is necessary because incorrect hardware, bad data analysis or human error will yield inaccurate and false performance.
When taking scientific measurements, it is important to be both accurate and precise. Accuracy represents how close a measurement comes to its true value. This is important because bad equipment, poor data processing or human error can lead to inaccurate results that are not very close to the truth.
