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YES TEST FOR OUTLIERS: NO <br /> OUTLIERS PRESENT? <br /> TEST FOR NORMALITY' NO TEST FOR NORMALITY: <br /> NORMAL DISTRIBUTION? NORMAL DISTRIBUTION? <br /> IYES <br /> TRANSFORM DATA <br /> REMOVE OUTLIERS NO YES <br /> YES USE NOPARAMETRIC <br /> PROCEDURE <br /> A- <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 X85% 50%2-! P<85% 10% P<50% P <10% <br /> IF IF <br /> 1 <br /> N?-�3 N'-_3 0 3 0 N2-!5 <br /> IF <br /> IF <br /> TYES YES YES PERFORM A <br /> QUALITATIVE <br /> REPLACE NON DETECTS WITH ADJUST THE MEAN AND INTER-WELL <br /> 1/2*DL AND CALCULATE A STANDARD DEVIATION COMPARISON OF <br /> TOLERANCE LIMIT USING COHEN'S METHOD DATA <br /> AND CALCULATE A <br /> TOLERANCE Lf MIT. 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 /> YES BACKGROUND WELL <br /> I 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 /> CH2MMILL----J .-. <br />