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Cochran formula (below) for determining sample adequacy was used to calculate nmin, whereby the <br />population is estimated to within 10% of the true mean (p) with 90% confidence. <br />When the inequality (nmin <_ n) is true, sampling is deemed adequate; and nmin is determined as <br />follows: <br />nmin = (r 2S 2) / (0.1 X )2 <br />Where: n = the number of actual samples collected <br />t = the value from the one -tailed t distribution for 90% confidence with n-1 <br />degrees of freedom; <br />S 2 = the variance of the estimate as calculated from the initial samples; <br />z = the mean of the estimate as calculated from the initial samples. <br />If the initial samples do not provide a suitable estimate of the mean (i.e., the inequality is false), a <br />reverse null success evaluation which does not require adequacy would be employed (Rule 4.15.11(2)(c)). <br />Sample adequacy results are presented on the bottom of Tables 2 and 7 through 16. <br />CEDAR CREEK ASSOCIATES, Inc. 10 Munger Canyon Mine - 2016 & 2017 <br />Revegetation Phase III Bond Release Report <br />