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YES TEST FOR OUTLIERS: NO <br /> OUTLIERS PRESENT? <br /> TEST FOR N( NO TEST FOR NORMALITY. <br /> NORMAL DIS NORMAL DISTRIBUTION? <br /> YES <br /> REMOVE TRANSFORM DATA <br /> OUTLIERS NO <br /> YES <br /> YES US NOPARAMETRIC <br /> PROCEDURE <br /> DETERMINE PERCENTAGE <br /> OF RESULTS(P)ABOVE THE <br /> DETECTION LIMIT,&AND <br /> E <br /> THE NUMBER OF ESULTS <br /> (N)THAT ARE GREATER <br /> I THAN THE DL <br /> F, >=85% 50%2-: P<85% lo%'-P<50% P <10% <br /> I r IF IF <br /> N-a3 N>=3 Na-6 <br /> LT <br /> T7YES S YES PERFORM A <br /> QUALITATIVE <br /> REPLACE NON DETECTS WITH ADJUST THE MEAN AND INTER-WELL <br /> 112*DL AND CALCULATE A STANDARD DEVIATION COMPARISON OF <br /> DATA <br /> ANDAND CALCULATE A <br /> TOLERANCE LIMIT USING COHEN'S METHOD <br /> TOLERANCE LIMIT USE AN INTER-WELL TEST <br /> OF PROPORTIONS <br /> DO VALUES IN THE PROPORTION Or DETECTS <br /> DETECTION WELL EXCEED IN DETECTION MONITORING <br /> THE TOLERANCE LIMIT? WELL EXCEED <br /> NO PROPORTION IN <br /> BACKGROUND WELL <br /> YES SIGNIFICANTLY? <br /> NOSTATISTICALEVIDIONCE <br /> OF CONTAMINATION YES <br /> STATISTICALLY <br /> SIGNIFICANT EVIDENCE OF <br /> CONTAMINATION <br /> FIGURE D-1 <br /> SCHEMATIC OF STATISTICAL <br /> ANAYSIS PROCEDURES <br /> CITY OF SLTOCKTON <br /> C142MHILL <br />