Systematic errors are consistent, repeatable errors that are present in an experiment due to faulty equipment or flawed procedures. Unlike random errors, which vary and can be reduced by averaging multiple measurements, systematic errors will skew all measurements in the same direction. In a colorimetric assay, systematic errors might stem from:
- Consistency in faulty reagent batches.
- Errors in the measurements due to the wrong calibration settings.
- Bias in the experimental design that causes all results to be off by a certain amount.
To identify and correct systematic errors, scientists often use control samples and repeat experiments to ensure that their data is as accurate as possible. Understanding and mitigating systematic errors are crucial for reliable scientific studies.