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YES TEST FOR OUTLIERS: NO <br /> I I OUTLIERS PRESENT? I I <br /> TEST FOR NORMALITY: NOR NORMAL": <br /> d <br /> NORMAL DISTRIBUTIONNORMAL DISTRIBUTION?' <br /> IYES <br /> REMOVE OUTLIERS TRANSFORM DATA NO <br /> YES <br /> YES USE NOPARAMETRIC <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 /> P R-:85% 50%:-" P<85% lo%�P<50% P <10% <br /> IF IF <br /> NO <br /> N-a3 N 2-:3 NO N 2-!5 <br /> I F <br /> rYES ES TYES 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 /> TOLERANCE LIMIT USING COHEN'S METHOD DATA <br /> AND CALCULATE A <br /> TOLERANCE LIMIT. USE AN INTER-WELL TEST <br /> OF PROPORTIONS <br /> DO VALUES IN THE PROPORTION OF 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 /> NO STATISTICAL EVIDENCE] <br /> OF CONTAMINATION YES <br /> STATISTICALLY <br /> SIGNIFICANT EVIDENCE OF <br /> CONTAMINATION <br /> FIGURE D-1 <br /> SCHEMATIC OF STATISTICAL <br /> ANALYSIS PROCEDURES <br /> CITY OF STOCKTON <br /> CH2MHILL----J <br />