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. area has 60 acres total, 15 samples will be taken. If the acreage is less than 60 acres, then <br />a minimum of 15 samples will be taken. <br />3) Once the number of sample points is determined, a random number generator such as the <br />one provided in the QuattroPro Spreadsheet Program, will be run. The random number <br />generator will use the total number of 50 foot by 50 foot block numbers generated in step 1 <br />of this procedure and the number of sample points required from step 2 of this procedure. <br />4) All randomly selected sample blocks from step 3, will be located in the field by standard <br />surveying methods. After the 50 x 50 foot sample block is field staked, a 3 foot x 3 foot <br />sample grid square will be tossed over the back of the samplers head to determine the final <br />sample grid to be cut and collected. The vegetation within the 3 x 3 foot sample grid will be <br />clipped as close to the ground as practical and gathered and air dried for 96 hours to simulate <br />field hay drying, before it is weighed and the yield per acre is calculated. The results from <br />all 3 x 3 foot sample points will be mathematically averaged. <br />5) The data will be evaluated for sampling adequacy using the following formula: <br />Nmin - I(ta + tp)Z ` (S2)7~(dQ)2 <br />where: l <br />Nm;° = minimum number of sampling grids to achieve sampling adequacy. <br />s =sample standard deviation <br />Q = 90% of technical standard <br />tp =the (oc=.10) t table value for a single tailed t-test with (n-1) degrees <br />of freedom <br />tp =the (a = .25) t table value for a single tailed t-test <br />d =desired level of reduction about the sample mean (0.10 for 90% <br />confidence) <br />Revegetation success for coverwill be determined using the dryland pasture reference area as the <br />basis. Total vegetative cover (live vegetation) of the reclaimed dryland pasture type in the New <br />Horizon 2 area will be considered acceptable if it is not less than 90 percent of the reference area <br />with 90 percent statistical confidence, <br />• (xevisea 2/00> Attachment 2.05.4(2)(e)-25 <br />