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TEST FOR NORMALITY: <br />NORMAL DISTRIBUTION? <br />YES <br />REMOVE OUTLIERS <br />TEST FOR OUTLIERS: <br />OUTLIERS PRESENT? <br />NO <br />TRANSFORM DATA NO <br />USE NOPARAME1 <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 :85% 50%, P< <br />N?3 N'3 <br />REPLACE NON DETECTS WITH ADJUST THE MEAN AND <br />112*DL AND CALCULATE A STANDARD DEVIATION <br />TOLERANCE LIMIT USING COHEN'S METHOD <br />AND CALCULATE A <br />TOLERANCE LIMIT <br />DO VALUES IN THE <br />DETECTION WELL EXCEED <br />THE TOLERANCE LIMIT? <br />IYES <br />1 <br />NO <br />NO STATISTICAL EVIDENCE <br />OF CONTAMINATION <br />1 TEST FOR NORMALITY: I <br />NORMAL DISTRIBUTION? <br />PI<10% <br />N''5 <br />TCO PERFORM A <br />r QUALITATIVE <br />INTER -WELL <br />COMPARISON C <br />DATA <br />USE AN INTER -WELL TEST <br />OF PROPORTIONS <br />PROPORTION OF DETECTS <br />IN DETECTION MONITORING <br />WELL EXCEED <br />PROPORTION IN <br />BACKGROUND WELL <br />SIGNIFICANTLY? <br />STATISTICALLY <br />SIGNIFICANT EVIDENCE <br />CONTAMINATION <br />FIGURE D-1 <br />SCHEMATIC OF STATISTICAL <br />ANALYSIS PROCEDURES <br />CITY OF <br />STOCKTON <br />