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Quality Assurance Project Plan for Removal Action <br /> APN 209-450-03,Mountain House,CA <br /> Page 6 <br /> 4.2.3 Representativeness <br /> Representativeness is the degree to which data accurately and precisely represent selected characteristics <br /> of the media sampled. Representativeness of data collection is addressed by careful preparation of <br /> sampling and analysis programs. This QAPP, together with the RAW, addresses representativeness by <br /> specifying sufficient and proper numbers and locations of samples, incorporating appropriate sampling <br /> methodologies, specifying proper sample collection techniques and decontamination procedures, selecting <br /> appropriate laboratory methods to prepare and analyze soil, and establishing proper field and laboratory <br /> QA/QC procedures. <br /> 4.2.4 Completeness <br /> Completeness is the amount of valid data obtained compared to the amount that was expected under ideal <br /> conditions. The number of valid results divided by the number of possible results, expressed as a <br /> percentage, determines the completeness of the data set. The objective for completeness is to recover at <br /> least 90 percent of the planned data to support field efforts. The formula for calculation of completeness is <br /> presented,as follows: <br /> 100 x number of valid results <br /> Completeness <br /> number of expected results <br /> 4.2.5 Comparability <br /> Comparability is an expression of confidence with which one data set can be compared to another. The <br /> objective of comparability is to ensure that data developed during the investigation are comparable to Site <br /> knowledge and adequately address applicable criteria or standards established by the USEPA, DTSC, and <br /> California Department of Health Services (DHS). This QAPP addresses comparability by specifying <br /> laboratory methods that are consistent with the current standards of practice as approved by the USEPA, <br /> DTSC, and DHS. Field methods are discussed in the RAW. <br /> 5.0 QUALITY CONTROL ELEMENTS <br /> This section presents QC requirements relevant to analysis of environmental samples that will be <br /> followed during all project analytical activities. The purpose of the QC program is to produce data of <br /> known quality that satisfy the project objectives and that meet or exceed the requirements of the standard <br /> methods of analysis. This program provides a mechanism for ongoing control and evaluation of data <br /> quality measurements through the use of QC materials. <br /> 5.1 QUALITY CONTROL PROCEDURES <br /> The chemical data to be collected for this effort will be used to determine that the extent of contamination <br /> is properly evaluated. As such, it is critical that the chemical data be of the highest confidence and <br /> quality. Consequently, strict QA/QC procedures will be adhered to. These procedures include: <br /> • Adherence to strict protocols for field sampling and decontamination procedures; <br /> • Collection and laboratory analysis of appropriate field equipment and trip blanks to monitor for <br /> contamination of samples in the field or at the laboratory; <br /> • Use of matrix spike, matrix spike duplicate, and field duplicate samples to evaluate precision and <br /> accuracy; and <br /> • Attainment of completeness goals. <br /> Nki"� <br /> CONDOR <br />