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' Data Usability Summary Page 4 of 4 <br /> ' Completeness <br /> Completeness is defined as the number of valid results(i.e., those not rejected) divided by the total <br /> number rejected. Based on this evaluation of the data against the QC objectives, the percentages of valid <br /> ' data for each method and matrix are 100 percent. <br /> Comparability <br /> Based on the data evaluation, it was concluded that the data are comparable with other laboratory data for <br /> similar samples and sample conditions. The sample collection techniques,EPA test methods,detection <br /> limits,analytical laboratory,units of measure,and sample preparation procedures were selected to ensure <br /> ' data comparability. <br /> SUMMARY <br /> ' Based on SAIC's evaluation,all analytical data are usable as qualified for the purpose of determining <br /> chemical concentrations in groundwater at the site. <br /> Data evaluated for this report were qualified E for results associated with method and field blank <br /> ' contamination, and J for results reported between the laboratory's MDL and LOQ. Qualified data with <br /> applicable reason codes are shown in Table B-1. <br /> Unless noted otherwise, analytical data collected in support of this investigation are considered precise, <br /> ' accurate,representative,complete, and comparable, and they may be used for their intended purposes. <br /> AwwrP®/`w <br /> From Science tc Solutions <br />