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' Introduction OtiSM Environmental Laboratories Inc Revision 0 ' Quality Assurance Plan February 15, 1996 Page 4 of 7 • Accuracy is evaluated through the use of spiked samples (matrix spikes and matrix spike duplicates) for each analytical batch or for each sample matrix, whichever is more frequent Typically, spikes are analyzed on a 5% basis unless a difference frequency is specified by the method At that point, the method will take precedence The spiked results are calculated and a percent recovery detemu nation is made to help ONSITE associates assess the method and the effect the sample matrix has on the analysts ■ The use of duplicate samples (duplicates or matrix spike/matrix spike duplicates) enable the ONSITE associate to assess the precision of the analytical batch Duplicate samples are analyzed on a 5% basis unless otherwise specified by the method, and Relative Percent Difference is determined to assess precision ' > Completeness is determined by evaluating the percent acceptable QC data to the sample data During the course of evaluation, QC data falling outside the acceptance criteria due to matrix mterference or other sample related problems may not necessarily invalidate data, but instead may qualify the data Quality Assessment > Quality assessment is accomplished by supervisor review of data A second, knowledgeable and professional parry verifies all data entries and in€erpremnon Repotting is visually checked for consistency and reasonableness and any unusually high or low results verified Assembled data is reviewed and signed as approved by the appropriate Mobile Laboratory Supervisor before compilation into a final deliverables package Fuial review of the assembled deliverables package is performed by the Laboratory Director > The Laboratory Director reviews all data packages and prepares summary reports about data quality and process control on a quarterly basis > The Quality Assurance Program Advisor(QAPA) conducts reviews of all Level IV data packages > Both the QAPA and outside auditors prepare assessments of data quality based upon three 1 types of audits (Surveillances, Systems Audits, and Project Audits) and proficiency evaluation samples • Surveillance Surveillances are detailed inspections of specific areas of the laboratory The QAPA and Laboratory Director is free to use the surveillance as a routine monitoring device or as an mvesti¢arory tool Surveillances do not require the extensive planrung and preparation as do audits and are conducted on a much more word 6 0loeimcv doc