What control measure can help address systematic error?

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The control measure that addresses systematic error is calibration and maintenance of tools. Systematic errors, often referred to as biases, occur consistently across measurements and can lead to results that are skewed in one direction. These errors can arise from improperly functioning equipment or tools used for measurement, which can produce consistently inaccurate results.

By calibrating and maintaining measurement tools, one ensures that they provide accurate and reliable results over time. Calibration involves adjusting the tools to match a known standard, correcting any deviations that may cause systematic errors. Regular maintenance ensures that the tools remain in good working condition, free from wear and tear that could introduce biases in measurement. This process minimizes the chances of systematic error and enhances the validity of the data collected.

In contrast, methods like random selection help in reducing sampling bias but do not directly address errors inherent in the measurement tools themselves. Training for assessors can improve subjective judgment but may not eliminate systematic biases. Increasing sample size primarily helps in improving the precision of estimates and reducing random errors, but it does not rectify the fundamental inaccuracies caused by faulty measurement instruments. Therefore, calibration and maintenance of tools is the most effective control measure to directly combat systematic error.