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TEST FOR NORMALITY: <br />NORMAL DISTRIBUTION? <br />ISYES <br />I REMOVE OUTLIERS I <br />TEST FOR OUTLIERS: <br />OUTLIERS PRESENT? <br />NO <br />TRANSFORM TATAn <br />NO <br />RAME I <br />PROCEDURE <br />DETERMINE PERCENTAGE <br />OF RESULTS (P) ABOVE THE <br />DETECTION LIMIT (DL) AND <br />THE NUMBER OF RESULTS <br />(N) THAT ARE GREATER <br />THAN THE DL. <br />PI' -85% <br />N?3 <br />YES <br />REPLACE NON DETECTS WITH <br />1/2*DL AND CALCULATE A <br />TOLERANCE LIMIT <br />DO VALUES IN THE <br />DETECTION WELL EXCEED <br />THE TOLERANCE LIMIT? <br />IYES <br />50%2 <br />N'_3 <br />Im <br />TEST FOR NORMALITY: <br />NORMAL DISTRIBUTION? <br />10%'IP{50% <br />N''-_5 <br />Pi<10% <br />Iv QUALITATIVE <br />ADJUST THE MEAN AND INTER -WELL <br />STANDARD DEVIATION COMPARISON OF <br />USING COHEN'S METHOD DATA <br />AND CALCULATE A :1 <br />TOLERANCE LIMIT. USE AN INTER -WELL TEST <br />OF PROPORTIONS <br />NO <br />I <br />NO STATISTICAL EVIDENCE <br />OF CONTAMINATION <br />STATISTICALLY <br />SIGNIFICANT EVIDENCE OF <br />CONTAMINATION <br />PROPORTION OF DETECTS <br />IN DETECTION MONITORING <br />WELL EXCEED <br />PROPORTION IN <br />BACKGROUND WELL <br />SIGNIFICANTLY? <br />M <br />