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PERMFILE55264
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PERMFILE55264
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Entry Properties
Last modified
8/24/2016 10:58:09 PM
Creation date
11/20/2007 4:30:56 PM
Metadata
Fields
Template:
DRMS Permit Index
Permit No
C1982056A
IBM Index Class Name
Permit File
Doc Date
12/11/2001
Doc Name
pages 2.05-101 to 2.05-122.1
Section_Exhibit Name
2.05 Operations Part 2
Media Type
D
Archive
Yes
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Rule 2.04-10. When adequate sample parameters have been obtained for cover, production, and density, [hey will <br />be combined and weighted for each revegetation type and for [he corresponding reference area. This is <br />• accomplished by weighting each individual x and s? relative to their respective acreages, and [hen combining [Ire <br />weighted means and variances into one value (for each variable) for the entire area under consideration for bond <br />release. These weighted values will be determined as follows: <br />k <br />Ai X I <br />x = t=1 <br />we k <br />E Ai <br />i=1 <br />k k <br />s2/n = ~ (Ai / E Ai)2 (s? /ni) <br />we i=1 i=l <br />where: _ <br />x = weighted mean <br />we <br />s2/n = weighted variance <br />we <br />k = total number of revegetated types under consideration far bond release <br />• Ai = premining acreage (for reference area data) or postmining acreage (for <br />revegetated type data) for the ith revegetated type or corresponding <br />reference area. <br />Once these parameters are obtained for each variable the means can be quickly checked arithmetically to <br />determine if the revegetated area's variables are high enough or whether a t test must be performed. The <br />arithmetic check requires a determination of the status of the following inequality for all variables: <br />x - C xwerf?0 <br />where: <br />x werv = estimated weighted mean for cover, production, or density taken from the <br />revegetated areas under consideration for bond release. <br />x werf = estimated weighted mean for cover, production, or density from the corresponding <br />reference areas. <br />C = allowable reduction from the reference area standard and in this situation equals 0.9. <br />If [Iris inequality falls for any given variable, then the following steps will be taken for that variable, otherwise the <br />test Itas been passed. The sample t statistic (tcalc) is determined as follows: <br />kale = (swerv - C xwerf)/ sxwerv -xwerf <br />• where: _ _ <br />sxwerv -xwerf = ~ s2p ((°werv + ~~werf)/°werv ~t~~erf)) <br />SIR 97-I>J 1.05-I 16 Revised 12/10/97 <br />
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