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APPENDIX D SECTION 1 DESCRIPTION OF STATISTICAL ANALYSES <br /> Selection of Analysis Method <br /> If the data set is normal,a parameteric method will be selected based on the percentage of <br /> detected values in the data set as shown on Figure D-1.The unquantified values in the data <br /> set are nondetects,trace,and in the historic data "absent".If the percentage of detects is <br /> 85 percent or higher of the total number of results and there are at least three detected <br /> values,a tolerance interval will be used with replacement of the nondetect values at one- <br /> half the reported method detection limit.If the percentage of detected values is less than <br /> 85 percent but greater than or equal to 50 percent and the number of detected values is at <br /> least three,a tolerance interval will be,used with Cohen's method to adjust the mean and <br /> standard deviation.If the percentage of detected values is greater than or equal to <br /> 10 percent but less than 50 percent and there are at least five detected values,a test of <br /> proportions will be used.If one of the above methods is not applicable to the data set <br /> because of a limited number or percentage of detected values,a statistical procedure will <br /> not be used to determine if there is statistical evidence of contamination in the detection <br /> monitoring wells.However,the data from the background well will be compared with the <br /> detection monitoring well to determine if any conclusions regarding contamination can be <br /> made. <br /> Tolerance Intervals <br /> A tolerance interval is established to encompass a concentration range that contains a <br /> specified proportion(P=0.95)of the population with a specified confidence coefficient <br /> (Y=0.95). An upper tolerance limit with 95 percent coverage gives an upper bound below <br /> which 95 percent of the observations of the distribution should fall. If observations exceed <br /> the tolerance limit,there is statistically significant evidence of contamination. <br /> The one-sided upper tolerance limit,TL, is calculated as shown below,where K is the <br /> one-sided normal tolerance factor(EPA, 1989). <br /> TL=X+K*S <br /> For pH a two sided tolerance limit was calculated. The upper and lower tolerance limit <br /> encompass 90 percent of the population. <br /> If the percentage of detected values is less than 85 percent but not less than 50 percent, <br /> Cohen's method is used to adjust the sample mean and standard deviation to account for <br /> data below the detection lin-Lit. The parameters h and y are calculated as shown below, <br /> where n is the total number of observations,DL is the detection limit,m is the number of <br /> values above the detection limit,and Xd is the mean and S,is the standard deviation of the <br /> m values. <br /> h=(n-m)/n <br /> Y--Sd'l/(Xd_DL)a <br /> These parameters are used to determine the value of the parameter X(EPA,1989).The <br /> corrected sample mean and sample standard deviation can then be calculated as follows: <br /> X=Xd-X(Xd-DL) <br /> S= (Sd'+X(Xd-DL))" <br /> RDD/APPD4097.DOC 2 <br />