Accuracy in science is about how close a measurement is to the true value. Precision complements accuracy by measuring consistency, essential for reliable results in experiments.
Accuracy is a measure of how close a measurement is to the true value. In science, it reflects how precise a result is in relation to the actual value being measured. For example, if a length measurement of 11.1 inches is obtained for a paper labeled as 11.0 inches, it is considered accurate.
Precision refers to the consistency of measured values when repeated measurements are taken. It is possible to be precise without being accurate, such as in the case of a watch that is consistently off by the same amount. Combining accuracy and precision leads to reliable and trustworthy results in scientific experiments.
Data quality involves both accuracy and precision. Accuracy indicates how close data points are to the true values, while precision reflects the consistency of measurements. Striving for both accuracy and precision is crucial in scientific endeavors to ensure valid outcomes.
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