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TEST FOR NORMALITY: <br />NORMAL DISTRIBUTION? <br />TEST FOR OUTLIERS: <br />OUTLIERS PRESENT? <br />NO <br />TRANSFORM DATA�I-- <br />-• r <br />TEST FOR NORMALITY: <br />NORMAL DISTRIBUTION? <br />DETERMINE PERCENTAGE <br />OF RESULTS (P) ABOVE THE <br />DETECTION LIMIT `DL) AND <br />THE NUMBER OF RESULTS <br />(N) THL. <br />AT NARE RDEATER <br />P ''85% 50%?-! P<85% 10%a- P<50% <br />i <br />N'-3 ''-_3 O N95 <br />REPLACE NON DETECTS WITH I ADIUST THE MEAN AND <br />1ZDL AND CALCULATE A STANDARD DEVIATION <br />TOLERANCE LIMIT USING COHEN'S METHOD <br />AND CALCULATE A <br />TOLERANCE LIMIT. <br />DO VALUES IN THE <br />DETECTION WELL EXCEED <br />THE TOLERANCE LIMIT? <br />• <br />NO <br />NO STATISTICAL EVIDENCE <br />OF CONTAMINATION <br />PI<10% <br />' QUALITATIVE <br />INTER -WELL <br />COMPARISON OF <br />DATA <br />USE AN INTER -WELL TEST <br />OF PROPORTIONS <br />PROPORTION OF DETECTS <br />IN DETECTION MONITORING <br />WELL EXCEED <br />PROPORTION IN <br />BACKGROUND WELL <br />SIGNIFICANTLY? <br />CICANT EMD110E OF I'! <br />iil I <br />FIGURE D-1 <br />SCHEMATIC OF STATISTICAL <br />ANALYSIS <br />1. P E <br />CITY O f «KTON <br />y <br />f <br />