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YES TEST FOR OUTLIERS: NO <br /> I OUTLIERS PRESENT? <br /> TEST FOR NORMALITY: NO TEST FOR NORMALITY-. <br /> NORMAL DISTRIBUTION] NORMAL DISTRIBUTION?, <br /> IYES IF . .. — <br /> I 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 /> E <br /> THE NUMBER OF RESULTS <br /> (N)THAT NTHE GREATERDL. <br /> THAT <br /> P ?—:85% 50%2—: P<851yo 10962—!P<50% P <10% <br /> N 3 N a—3 0 N>-5 <br /> YES ES TYES 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 LIMIT.—j 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? I 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 STOCKrON <br /> 1. -CH2MHILL <br />