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IF <br />Wi9r.-Mmom <br />standard deviation value. Possible factors causing the large variation in the <br />sample population are summarized in the Discussion of Results section of this <br />report. In order to normalize the data for purposes of calculating the upper <br />confidence interval limit (UCL) for a normally distributed population, the data <br />were transformed using the arcsine transformation.3Where applicable, the UCL <br />was calculated using an 80% confidence interval for a normally distributed <br />population. The data transformation was only carried out for tests with <br />established RT values, as the calculation of the UCL is only relevant when <br />compared to RT, for the purpose of determining if the waste is hazardous. The <br />relationship between UCL and RT can be evaluated as follows: as UCL <br />approaches RT, the waste tends to be hazardous. If UCL is lower than RT, it is <br />concluded that the waste is not hazardous. Tables 8, 10, 12, and 14 list <br />statistical calculations for transformed data for tests with established RT values. <br />Note: E&P wastes, particularly produced water or scale deposited on downhole <br />equipment, may also contain Naturally Occurring Radioactive Materials (NORM) <br />(DHS et al, 1996). Analyzing collected samples for NORM was beyond the <br />scope of this project. Radiation detection equipment was utilized during <br />sampling to ensure freedom from radioactive exposure of the sampling team. <br />3 A mathematical procedure which converts both the data points and the regulatory threshold values into <br />proportions, followed by the calculation of the square root and of the arcsine value. <br />Stcitewidp,QoMpliance Division -May 2002 <br />I" <br />