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• GEf� <br /> GENESIS ENGINEERING& REDEVELOPMENT <br /> stand-alone computers or microprocessors often permit data analysis programs to be written <br /> and modified to produce data formats specifically suited to end user requirements. <br /> Data requiring manual recording, integration, and analysis may be converted to a more <br /> appropriate format prior to subsequent analyses. Through all stages and aspects of data <br /> processing,the data are double-checked for translation or transcription errors and are <br /> initialed by both the recorder and the checker. The Laboratory QC Manager(or other <br /> individual designated by the laboratory not directly involved with the analysis)will review <br /> the data for acceptability. <br /> Data reduction frequently includes computation of analytical results from raw instrument <br /> data and summary statistics, including standard errors, confidence intervals,test of <br /> hypothesis relative to the parameters, and model validation. <br /> Data reduction procedures used by the laboratory will address the reliability of computations <br /> and the overall correctness of the data reduction. The numerical transformation algorithms <br /> used for data reduction will be verified against a known problem set to ensure that the <br /> reduction methods are correct. <br /> • The equations and the typical calculation sequence followed to reduce the data to the <br /> acceptable format are instrument- and method- specific. Where standard methods are <br /> modified, data reduction techniques will be described in a report accompanying the data. <br /> Auxiliary data produced for internal records and not reported as part of the analytical data <br /> include the following: laboratory worksheets, laboratory notebooks, sample tracking system <br /> forms, instrument logs, standard records, maintenance records, calibration records, and <br /> associated QC records. These sources will document data reduction and will be available for <br /> inspection during audits and to determine the validity of data. <br /> Data outliers will be identified according to laboratory control charts, and the rationale used <br /> for data acceptance or rejection will be described and documented. All sample and primary <br /> QA/QC data will be supplied to the Project Manager in suitable hard copy and electronic data <br /> formats. <br /> 7.3.3 Field Data Reporting <br /> Field data will be reported in the appropriate formats including field logbooks, sample tags, <br /> analysis request/chain-of-custody forms, and field data sheets. As a general guideline the <br /> following minimum standards shall be maintained: <br /> • William DePaoli Property 1 1 of 21 <br /> Quality Assurance Project Plan <br /> February 2012 <br />