Random sampling is applied to what types of tests?

Random sampling is crucial in both Quality Control (QC) tests and Visual Inspection (VT) tests to ensure that the sample accurately represents the larger population from which it is drawn. In QC tests, random sampling helps identify variations in quality, allowing for reliable assessments of materials or processes by avoiding bias in the selection of samples. Similarly, random sampling in VT tests ensures that observations made about the quality or condition of materials or structures are also representative, allowing for a broader understanding and reliable conclusions about the overall quality.

The application of random sampling across both QC and VT tests enhances the credibility of the results. It minimizes the influence of subjective factors and potential biases, enabling more accurate analysis and decision-making based on the data collected. The rationale behind using random sampling in these contexts is rooted in statistical principles that support objective assessment and validation of findings.