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If sample adequacy has been achieved (minimum of 15 samples) in BRB -1 and the reference areas, and <br />the reclaimed area mean total allowable herbaceous cover and mean allowable herbaceous production are <br />above 90% of the reference area - derived standard, All criteria are met for a direct comparison and <br />revegetation would be deemed successful (CDMG 2010 proposed rules revisions 4.15.1 (2)(a)). <br />Were the mean allowable herbaceous cover and /or production of the reclaimed area above 90% of the <br />reference area - derived standard, and sample adequacy was met for the reference areas but not for BRB -1 <br />(minimum of 30 samples, technical standards not subject to sample adequacy), then the hypothesis of <br />reclamation success would be tested using a parametric test of the "reverse null" hypothesis. This would be <br />conducted using the following expression (CDMG 2010 proposed rules revisions, 4.15.11 (2)(c)): <br />z —Q <br />_ <br />t, SE <br />Where: x = Bond Release Block 1 Sample Mean <br />Q = 90% of Standard <br />S- = Standard error of mean [ s /' n ] <br />S = Sample standard deviation <br />n = Sample size <br />t = Calculated t value <br />t = Table t value (alpha = 0.2) <br />The (reverse) null hypothesis being tested would be that the bond release block mean (.t) was less than or <br />equal to 90% of the standard, stated as H µ <_ Q. If t was greater than the 1- tailed t table value for alpha <br />error probability of .20, with (n -1) degrees of freedom then H would be rejected, and revegetation would be <br />deemed successful. <br />Under the previous scenario if sample adequacy was not met for the reference areas nor the BRB -1 <br />(minimum of 30 samples), then the hypothesis of reclamation success would be tested using a Two - sample <br />t -test of Reverse Null Hypothesis with Satterthwaite's Adjustment (CDMG 2010 proposed rules revisions, <br />4.15.11 (2)(c)). <br />The reverse null hypothesis states the mean of a given vegetation parameter in the revegetation area (pbr) <br />is equal to or Tess than 90% of the mean on the reference area (pref). <br />7 <br />