windows-1252Format for Clark-Evans Tests NotesJ0 CR*OHHY?rv^IQXZ<M T > Tbnn-dist  c*Distance to nearest neighbor for each tree;3Notes("Distance to nearest neighbor for each tree") c  @0ͮA@4Rira@3;Y@2$@1#(@5Kc@0@7 Lab,@22w@2~oq@4|n@27i+=@3;zp@42D @,^Fs@6Hn@>m#Nw@7덂@4<:O'@22w@4Rira@8P{@03@4M^@7Uv@,^Fs@;)OH<@2H @6pA@2H area cyArea of Region1Notes("Area of Region")Formula(56269) c  @y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@y@yn c Total Number of Points in Region@)Notes("Total Number of Points in Region") Formula(99) c  @X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@X@Xlam cIntensity parameter=Formula( :n / :area)Notes("Intensity parameter") c  ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫ?\{ȫmu cEstimated mean under HoJFormula(1 / (2 * Sqrt( :lam))) Notes("Estimated mean under Ho") c  @'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 l@'0 lsig c&Standard Deviation of nn-dist under Hor7Formula(Sqrt((4 - Pi()) / (4 * :lam * Pi() * NRow())))/Notes("Standard Deviation of nn-dist under Ho") c  ?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.?3.s-mean cSample Mean of nn-distO$Formula(Col Mean( :Name("nn-dist")))Notes("Sample Mean of nn-dist") c  @4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8@4&L8Z c,Standardized Sample Mean of nn-dist under Hok*Formula(( :Name("s-mean") - :mu) / :sig)5Notes("Standardized Sample Mean of nn-dist under Ho") c  @\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD`@\WD` P-Val CSR  cP-value for CSRO+Formula(2 * Normal Distribution(-Abs( :Z)))Notes("P-value for CSR") c  =`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee=`q$ee P-Val Clust  cP-Val for Clustering HypothesisU!Formula(Normal Distribution( :Z))(Notes("P-Val for Clustering Hypothesis") c  ?????????????????????????????? P-Val Disp c!P-Value for Uniformity HypothesisX"Formula(Normal Distribution(- :Z))*Notes("P-Value for Uniformity Hypothesis") c  =Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$ee=Pq$eeS cSkellam Statistic\Formula(2 * ( :lam * Pi() * Local({j}, Summation(j = 1, NRow(), :Name("nn-dist")[j] ^ 2))))Notes("Skellam Statistic") c  @aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb@aS[bb chi-square cFbProbability of a value as small as S under the chi-square distribution with 2n degrees of freedom.3Formula(ChiSquare Distribution( :S, 2 * NRow(), 0))kNotes("Probability of a value as small as S under the chi-square distribution with 2n degrees of freedom.") c  ?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?>?> .05-quantile c=_.05-quantile for chi-square (point below which there is only a .05 chance under the chi-square)0Formula(ChiSquare Quantile(0.05, 2 * NRow(), 0))hNotes(".05-quantile for chi-square (point below which there is only a .05 chance under the chi-square)") c  @ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE@ErE Column 15  cJFormula(44108) c  @剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀@剀