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YES TEST FOR OUTLIERS: NO <br /> OUTLIERS PRESENT? <br /> TEST FOR NORMALITY: NOTEST FOR NORMALITY: <br /> NORMAL DISTRIBUTION? NORMAL DISTRIBUTION? <br /> YES - <br /> REMOVE OUTLIERS TRANSFORM DATA N® <br /> YES <br /> YES USE NOPARAMETRIC <br /> PROCEDURE <br /> DETERMINE PERCENTAGE <br /> OF RESULTS(P)ABOVE THE <br /> DETECTION LIMIT( Q AND <br /> THE NUMBER OF F�ESULTS <br /> (N)THAT <br /> ARE E GREATERTHAN <br /> P '85% 50%' P<85% 10%2t P<50% P <10% <br /> N?3 JES <br /> 3 O N95 O <br /> IF IF <br /> 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 D .. <br /> TOLERANCE LIMIT. USE AN INTER-WELL TEST <br /> OF PROPORTIONS <br /> If <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 /> SIGNIFICANTLY? <br /> NO STATISTICAL EVIDENCE <br /> OF CONTAMINATION <br /> YES <br /> STATISTICALLY <br /> SIGNIFICANT EVIDENCE OF <br /> CONTAMINATION <br /> Flea -1 <br /> SCHEMATIC OF STATISTICALANALS _ <br /> CITY OF S OCKTON PROCEDURES <br /> FIGD <br /> 1 <br /> C142MHILL <br />