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TEST FOR NORMALITY: <br />NORMAL DISTRIBUTION? <br />YES <br />REMOVE OUTLIERS <br />TEST FOR OUTLIERS: <br />OUTLIERS PRESENT? <br />NO <br />TRANSFORM DATA - NO <br />USE NOPARAMEI <br />PROCEDURE <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) THAT ARE GREATER <br />THAN THE DL <br />P '85% 50%2-: P<$5% 10%? P<50% <br />i <br />N73 N?3 O N?5 <br />YES ES <br />REPLACE NON DETECTS WITH ADJUST THE MEAN AND <br />1/2*DL 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 />IYES <br />7-9 70�CO�=TZMINMTION�!! <br />P1<10% <br />' QUALITATIVE <br />INTER -WELL <br />COMPARISON C <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 />SIGNIFICANT EVIDENCE OF <br />CONTAMINATION <br />PROCEDURESFIGURE D-1 <br />SCHEMATIC OF STATISTICAL <br />ANALYSIS <br />CITY OF i <br />