Testing quality assurance should be a comprehensive reflection of scientific management level and testing skills. The distortion of the detection data can cause errors in the evaluation results, indicating that the loss of control in scientific management will eventually lead to the failure of the entire monitoring work. Therefore, ensuring the quality of testing data is an important content and measure in the business of testing institutions. This courseware describes the following contents: Laboratory analysis of quality assurance content The determination of quality assurance standard analysis methods for sample samples and the verification of the quality of test data for reference materials, etc. . . . . .
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