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YES TEST FOR OUTLIERS- NO <br /> OUTLIERS PRESENT? <br /> TEST FOR NORMALITY. NO -j-TEST FOR NORMALITY. <br /> NORMAL DISTRIBUTION ? <br /> ] NORMAL 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 GRDL. <br /> EATER <br /> THAN THE -i <br /> P -85% 50%:-" P<85% 10%?-:P<50% P <10% <br /> F <br /> N2-t3 N 2-:3 0 IF N 5 NO <br /> 0 NO <br /> S <br /> TYES YES 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 /> TOLERANCE LIMIT USING COHEN'S METHOD DATA <br /> AND CALCULATE A <br /> TOLERANCE LIMIT. USE AN INTER-WELL TEST <br /> OF PROPORTIONS _j <br /> DO VALUES IN THEPROPORTION 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 /> FIG.51.FR7 1 CH2MHILL <br />