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mean for the same variable. in which case the area passes for that variable and year. (Colorado <br />considers the reference area sample mean to be the "standard".) <br />To the contrary, reverse-null hypothesis testing can be utilized given these data sets, and will be the <br />preferred testing protocol. For this procedure, collection of an "adequate" sample (where n~;° s n) is not <br />necessary as it is in the operator's best interest to sample until a "tighC estimate of the mean is obtained <br />(i.e., sampling should continue until the variance is °narrowly' defined). <br />In the "classical" null hypothesis test, rejection of H° means failure as the hypothesis being tested is <br />that the reclaimed area variable is greater than or equal to 90% of the reference area or standard. <br />However, in the reverse null test, rejection of H° means success as the hypothesis being bested is that the <br />reclaimed area variable is less than or eoual to 90% of the reference area or standard. Therefore, once a <br />sample has been collected from both the target area of interest and the reference area (or standard), the <br />means and variances (x and s2) of those samples will be utilized for testing revegetation success or <br />falure during that particular year. Testing would occur as follows: <br />t~ = x sQ Where : Q = 90°I° of the Standard <br />x =Sample mean of the reveg data <br />s =Sample Standard Deviation <br />n =Sample Size <br />Then if ><> t for t(a=O.S,n-1 d.f.) the test is successful. <br />When this test is successful for two consecutive years for each variable of the revegetated <br />community, and the diversity numeripl standards have also been met for each year, then conditions for <br />final bond release have been met. <br />~®~ ~z~~ ass®cna~~ irvc. Page 10 Blue Ribbon Mine - Revegetation Evaluation <br />