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Western Fuels FH Acute 3/29/06 <br />Program run on 04-03-2006 at 17:00:24 <br />~LTS CALCULATED USING THE BINOMINAL METHOD <br /> ---------------- <br />----- <br />CONC. ------------------------------- <br />NUMBER NUMBER --------------- <br />PERCENT ----------- <br />BINOMIAL <br /> EXPOSED DEAD DEAD PROB. (PERCENT) <br />------------------ <br />------- <br />100 ------------------------------- <br />40 24 --------------- <br />60.00 --------- <br />13.4094 <br />75 40 16 40.00 13.4094 <br />50 40 16 40.00 13.4094 <br />25 40 3 7.50 LESS THAN 0.001 <br />12.5 40 0 0.00 LESS THAN 0.001 <br />AT A CONFIDENCE LEVEL OF 95 PERCENT, THE BINOMIAL TEST <br />SHOWS THAT THE LC50 IS ABOVE 25 <br />THE USEFULNESS OF ANY LC50 CALCULATED FROM THIS SET OF DATA <br />IS QUESTIONABLE BECAUSE A CONCENTRATION-EFFECT RELATIONSHIP <br />HAS NOT BEEN DEMONSTRATED OVER A REASONABLE RANGE (e.g. <br /><37 TO>63 OF PERCENT DEAD <br />AN APPROXIMATE LC50 OF 86.60254 IS OBTAINED BY <br />NONLINEAR INTERPOLATION BETWEEN 75 AND 100 <br />~ULTS CALCULATED USING THE MOVING AVERAGE METHOD <br />------------------------------------------------------------------------------ <br />~PAN G LC50 95 PERCENT CONFIDENCE LIMITS <br />-------------------------------------------------------------------------------- <br />2 1.229 86.603 54.634 + INFINITY <br />1 1.229 86.603 0.0 +INFINITY <br />AN LC50 CALCULATED USING THE MOVING AVERAGE METHOD MAY NOT <br />BE A VERY GOOD ESTIMATE IF THE SPAN IS MUCH LESS THAN THE <br />NUMBER OF CONCENTRATIONS. <br />RESULTS CALCULATED USING THE PROBIT METHOD <br />GOODNESS OF FIT <br />ITERATIONS G H CHI-SQUARE PROBABILITY <br />- -------------------------------------------------------- <br />4 0.100 1.000 3.807 0.283 <br />SLOPE _ <br />95 PERCENT <br />LC50 = <br />95 PERCENT <br />_ <br />PERCENT <br />2.766577 <br />CONFIDENCE LIMITS <br />79.28099 <br />CONFIDENCE LIMITS <br />11.43696 <br />CONFIDENCE LIMITS <br />1.890445 AND 3.642709 <br />66.37806 AND 101.2978 <br />5.214461 AND 17.42771 <br />COMPARE RESULTS WITH ORIGINAL DATA TO SEE IF THEY ARE <br />REASONABLE. <br />~wJ <br />