Question 2 of 6 Fundamentals Concept
How do accuracy and precision differ in analytical testing?
Short answer
Accuracy concerns closeness to a reference value, while precision concerns agreement between replicate measurements. A method can give tightly clustered results that are consistently biased.
Why
Imagine five assay results near 85 percent when the known reference concentration corresponds to 100 percent. If those results barely vary, precision may be high but accuracy poor. Assess accuracy using suitable reference materials or recovery designs and precision across relevant repeatability and intermediate precision conditions.
Performance must be defined for the intended analytical use and concentration range rather than inferred from one calibration point. Matrix effects, sample preparation, equipment and analysts can affect bias and variability differently. For some qualitative methods, different performance characteristics may be appropriate, so avoid applying a quantitative validation checklist mechanically.
Report uncertainty and accepted criteria before interpreting results. A small standard deviation does not, by itself, demonstrate method suitability for a release decision.
Common mistakes
- Calling a reproducible biased assay accurate because replicate variability is small
The interviewer might ask next
What experimental design would separate within-run from between-day variation?