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**Accuracy** is all about getting the right answer. How close are your results to the actual, true value of the analyte? To assess accuracy, you usually analyze samples with known concentrations and compare your results to those known values. Ideally, you want your method to have a high degree of accuracy. This means your measurements are close to the true value, minimizing any systematic errors. Assessing the accuracy of your method involves analyzing samples with known concentrations of the analyte, such as reference standards or spiked samples. By comparing your results to the known values, you can determine if your method is consistently providing accurate measurements. If your method demonstrates good accuracy, it means that you can trust pseiiiisportsse store new york ny your results to reflect the actual amount of the analyte present in the sample. Any significant deviations from the true value should be investigated and addressed. The goal is to minimize errors and ensure that your method delivers reliable and trustworthy results. For example, if you're measuring the concentration of a drug in a formulation, you'd analyze samples where the drug concentration is already known. You then compare your measured values to the known concentrations and look for any systematic differences. It's often expressed as a percentage of recovery, so you’ll want a high percentage, close to 100%. If your method consistently overestimates or underestimates the concentration, you know you have an accuracy problem and need to troubleshoot.