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APPENDIX D <br /> STATISTICAL METHODS TO DETERMINE CONCENTRATION LIMITS <br /> TOLERANCE LIMIT METHODOLOGIES <br /> The purpose of a tolerance interval approach is to define a concentration range from <br /> background well data, within which a large proportion of the monitoring observations <br /> should fall with a high probability. The proportion of the population included is referred to <br /> as the coverage. The probability with which the tolerance interval includes the proportion <br /> of the population is referred to as the tolerance coefficient. <br /> Consistent with USEPA and state recommendations, Sanitas (computer program utilized) <br /> uses a 95 percent coverage and 95 percent tolerance coefficient. The upper 95 percent <br /> tolerance limit will contain at least 95 percent of the distribution of observations from <br /> background well data. The tolerance interval method is described in the following <br /> documents: <br /> -- Introduction to Statistical Quality Control, D.C. Montgomery. John Wiley <br /> Publishing, New York. 1985. <br /> -- Statisitical Analysis of Groundwater Monitoring Data at RCRA Facilities, <br /> Interim Final Guidance Document, USEPA. USEPA/530-SW-89-025. <br /> February 1989. <br /> -- Statistical Analysis of Groundwater Monitoring Data at RCRA Facilities, <br /> Addendum to Interim Final Guidance, USEPA. USEPA/530-R-93-003. July <br /> 1992. <br /> San Joaquin County uses Grounawater Statistical Analysis System(GSAS, now referred to <br /> as Sanitas) to calculate tolerance limits for the Harney Lane Sanitary Landfill. Sanitas is a <br /> statistical software program developed by Intelligent Decision Technologies, Ltd. (IDT). <br /> It is specifically designed to evaluate water quality monitoring data for landfills. Sanitas <br /> performs all pre- and post-analysis tests required so that the data do not violate size and <br /> distribution assumptions of the relevant statistical analysis. <br /> Parametric Tolerance Limit <br /> When conducting the tolerance interval method, Sanitas automatically evaluates the <br /> distribution of the data. For data sets with 50 or fewer samples the Coefficient of Variation <br /> test for normality is used, and for data sets greater than 50 samples the Shapiro-Francia test <br /> is used. Sanitas applies the parametric tolerance limit test when the background data set is <br /> found to have less than 50 percent non-detects and the background data have a normal or <br />