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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 background well data, <br /> within which a large proportion of the monitoring observations should fall with a high probability. The <br /> proportion of the population included is referred to as the coverage. The probability with which the <br /> tolerance interval includes the proportion of the population is referred to as the tolerance coefficient. <br /> Consistent with USEPA and state recommendations,Sanitas(computer program utilized)uses a 95 percent <br /> coverage and 95 percent tolerance coefficient. The upper 95 percent tolerance limit will contain at least <br /> 95 percent of the distribution of observations from background well data. The tolerance interval method <br /> is described in the following documents: <br /> -- Introduction to Statistical Quality Control,D.C.Montgomery. John Wiley Publishing, <br /> New York. 1985. <br /> -- Statistical Analysis of Groundwater Monitoring Data at RCRA Facilities,Interim Final <br /> Guidance Document,USEPA. USEPA/530-SW-89-026. February 1989. <br /> -- Statistical Analysis of Groundwater Monitoring Data at RCRA Facilities,Addendum to <br /> Interim Final Guidance,USEPA. USEPA/530-R-93-003. July 1992. <br /> San Joaquin County uses Groundwater Statistical Analysis System(GSAS,now referred to as Sanitas) <br /> to calculate tolerance limits for County Landfills. Sanitas is a statistical software program developed by <br /> Intelligent Decision Technologies,Ltd.(IDT). It is specifically designed to evaluate water quality monitoring <br /> data for landfills. Sanitas performs all pre-and post-analysis tests required so that the data do not violate <br /> size and distribution assumptions of the relevant statistical analysis. <br /> ' Parametric Tolerance Limit <br /> ' When conducting the tolerance interval method,Sanitas automatically evaluates the distribution of the data. <br /> For data sets with 50 or fewer samples the Coefficient of Variation test for normality is used,and for data <br /> sets greater than 50 samples the Shapiro-Francia testis used. Sanitas applies the parametric tolerance limit <br /> test when the background data set is found to have less than 50 percent non-detects and the background <br /> data have a normal or transformed normal distribution. Ifgreater than 15 percent but less than 50 percent <br /> of the background data set consist of non-detect values,the mean and standard deviation of the data set <br /> are adjusted using the Cohen's Method. The tolerance limit is then calculated using the adjusted values. <br /> ' Nonparametric Tolerance Limit <br /> When the background data set contains greater than 50 percent but less than 100 percent nondetect values <br /> and/or its distribution is not normal(or transformed normal),Sanitas applies the nonparametric tolerance <br /> limit method. However,this method requires a large number of samples to achieve a false positive rate of <br /> 1 percent or less,which is required by CCR Title 23,Chapter 15,Article 5 guidelines. Thus,when the <br /> ' alpha level was higher than 1 percent,the concentration limit was not established and footnoted as to why. <br />