Accuracy: The difference between the expected value of a sensor's output and the actual value of the quantity being measured. The mean of a set of data is related to the accuracy of the data.
Precision: The variations in a measured signal due to noise or other phenomena. The standard deviation of a set of data is a measure of the precision.
Calibration: Calibration improves the accuracy and precision of a sensor by defining a mathematical relationship between what you measured and what the reading should be. For example, the third plot above could be improved by subtracting a constant from the measured temperature. This would be one type of calibration.
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Precision: The variations in a measured signal due to noise or other phenomena. The standard deviation of a set of data is a measure of the precision.
Calibration: Calibration improves the accuracy and precision of a sensor by defining a mathematical relationship between what you measured and what the reading should be. For example, the third plot above could be improved by subtracting a constant from the measured temperature. This would be one type of calibration.
Download more definition about Accuracy, Precision & Calibration here ...
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The difference between the expected value of a sensor's output and the actual value of the quantity being measured. The mean of a set of data is related to the accuracy of the data. PT878 rental
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