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For pH a two sided tolerance limit was calculated. The upper and lower tolerance limit <br />APPENDIX D SECTION i DESCRIPTION OF STATISTICAL ANALYSES <br />Y' <br />Selection of Analysis Method <br />If the data set is normal, a paraureteric 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 />_ <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 />V <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 Cohens method to adjust the mean and <br />standard deviation. If the percentage of detected values is greater than or equal to <br />' <br />10 percent but less than 50 percent and there are at least five detected values, a test of <br />-' <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 />' <br />Tolerance Intervals <br />concentration range that contains a <br />A tolerance interval is established to encompass a <br />specified proportion (P=0.95) of the population with a specified confidence coefficient <br />-- <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 />- <br />The one-sided upper tolerance limit, TL, is calculated as shown below, where K is the <br />' <br />one-sided normal tolerance factor (EPA, 1989). <br />_- <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 limit. The parameters h and y are calculated as shown below, <br />.' <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 X is the mean and S is the standard deviation of the <br />V <br />m values. <br />h=(n-m) /n <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 />-' <br />S=(Sd2 + ) (Xd - DL) 2)112 <br />RDD/APPD4o97.DOc 2 ' <br />