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' Section 7 <br /> . ONSITE Environmental Laboratones Inc Revision 0 <br /> ' Quality Assurance Plan February 15, 1996 <br /> Page 3 of 4 <br /> 7 2 1 Precision is the degree of reproducibility of a measurement and is evaluated by <br /> the analysts of samples and/or spiked samples in duplicate Precision is <br /> ' calculated as the "Relative Percent Difference", which is the range of <br /> difference between two measurements on the same sample divided by their <br /> mean, expressed as a percentage <br /> ' RPD = (Ongrnal Value - Duplicate Value) 100 <br /> 1/ 2(Ortgtnal Value T Duplicate Value) <br /> For example, if the original result is 24 5 and the duplicate result is 24, then <br /> (24 5-24)/((24 5+24)/2) * 100 = 0 5/24 25 * 100 = 2 0 % RPD <br /> ' 7 2 2 Accuracy represents another measure of data quality It is the degree of <br /> agreement of a measured value of the analyte with its true or actual value It is <br /> evaluated by the use of samples to which known amounts of the target analytes <br /> have been added (called matrix spikes), known value control samples (blank <br /> spikes or Laboratory Control Samples), and standards derived from a source <br /> which is different from the calibration standards <br /> 7 2 2 1 In the case of second source standards, blank spikes, and control <br /> samples, the accuracy is calculated as a percentage of the true value, <br /> wherein a percentage over 100% indicates a high bias in the <br /> measurement and a percentage less than 100% indicates a low bias in <br /> the measurement, using the following equation <br /> I <br /> i <br /> Value Found <br /> ' %Recovery = 11 100 <br /> True Value <br /> For example, if an LCS True Value is 25 and the reading for the LCS <br /> was 24 5, then (24 5/25) * 100 = 98% Recovery <br /> 7 2 2 2 In the case of matrix spikes, the percent recovery is calculated using <br /> ' the following equation <br />' Spu(ce Recovery(/) = Observed r 100 <br /> Theoretical <br /> I <br /> Word 6 0 loc[=7 doc <br /> 1 <br />