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3.2.7 Step 7—Develop a Plan for Obtaining Data <br /> Sampling activities will be performed as described in the Work Plan. <br /> The following methods will be used for the VI investigation. <br /> Analyte Method <br /> VOCs USEPA TO-15 and TO-15 selective ion monitoring(SIM) <br /> Helium American Society for Testing and Materials(ASTM)D1946 <br /> The following methods will be used for groundwater monitoring. <br /> Analyte Method <br /> VOCs USEPA 8260B <br /> 3.3 PARCCS Overview <br /> 3.3.1 Introduction <br /> This QAPP addresses both field and laboratory activities associated with the collection <br /> and analytical analysis of samples in support of project DQOs. Field sampling and <br /> laboratory testing will be performed according to the relevant SOPS. <br /> QA objectives are formally measured through the computation of performance <br /> measures known as DQIs. The DQIs for measurement data are expressed in terms of <br /> PARCCS. Evaluation of DQIs provides the mechanism for ongoing control and <br /> evaluation of data quality throughout the project and ultimately will be used to define <br /> the data quality achieved for the various measurement parameters. The field QA/QC <br /> program will be accomplished through the collection of trip blanks, equipment blanks, <br /> field duplicates, and ambient air samples as applicable. The analytical QA/QC program <br /> will be assessed through the internal laboratory QC performed, including method <br /> blanks, matrix spike (MS)/MS duplicate (MSD) recoveries and relative percent <br /> differences (RPDs), laboratory control sample (LCS)/LCS duplicate (LCSD) recoveries <br /> and RPDs, and surrogate recoveries, as applicable to the analytical method. The <br /> following sections describe the DQIs in detail. <br /> 3.3.2 Precision <br /> Precision refers to the reproducibility or degree of agreement among duplicate <br /> measurements of a single analyte. The closer the numerical values of the measurements, <br /> the more precise the measurement. Poor precision stems from random errors (i.e., <br /> mechanisms which can cause both high and low measurement errors at random). <br /> Appendix C 8 <br />