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Accuracy and precision are fundamental concepts in analytical chemistry. Here's how they're measured:
Accuracy measures how close a measurement is to the true or accepted value. It's often expressed as the absolute error (difference between the measured value and the true value) or the relative error (absolute error divided by the true value).
Precision reflects the reproducibility of measurements. It's expressed by how closely repeated measurements agree with each other. We use measures like:
Standard Deviation: A statistical measure of the spread of data around the mean.
Variance: The square of the standard deviation.
Coefficient of Variation: The ratio of standard deviation to the mean, expressed as a percentage.
Methods for Measuring Accuracy and Precision:
Calibration: Using known standards to create a calibration curve and determine the accuracy of an analytical method.
Standard Addition: Adding known amounts of analyte to a sample to assess the accuracy of a method.
Control Charts: Tracking measurements over time to monitor precision and identify trends.
Statistical Analysis: Applying statistical tests to determine the significance of differences between measurements and assess the accuracy and precision of a method.