SimpleAssignmentOrderofoperatorsCheckonSpector’;inputabc;multdiv=a/b*c;addsub=a+b-c;multdiv2=a/(b*c);addsub2=a+(b-c);datalines;853;pordr;run;(putingafunctionoftheargumentsSUM(OfUSS(OF SumofsquaresofargumentsCSS(OF SumofsquareddeviationsfrommeanSTD(OF StandarddeviationdividingbyN-1VAR(OF VariancedividingbyN-1SKEWNESS(OF...)KURTOSIS(OF...)LOG10(X) Theexponenttowhich10mustberaisedtoyieldX Forexample,log10(100)=2. log10(1000)=3. log10(100000000)=(X)–tothebasee Theexponenttowhiche(…)mustberaisedtoyieldX. OftenwrittenaslnxTransformationsingeneralTransformationsthatexpandtheuppertail-tomakenegativelyskeweddistributionsmorenearlysymmetricY=X2Y=-tomakepositivelydistributionsmorenearlysymmetricY==X-1-approximatelysameaslogtransformation????Y=X-2MOD(A,B)–theremainderofadivisionoperationofA/;inputab;modis=mod(a,b);datalines;851023343524;procprintdata=modexamp;run;FACT–thefactorialdatafacteg;inputa;factis=fact(a);datalines;01234567891020;procprintdata=facteg;B(N,X)–N!/(X!(N-X)!)ProbabilitydistributionsPROBNORM(z)ReturnstheprobabilityofaZscores<=zPROBT(t,df)Returnsprobabilityofatscorewithdfdegreesoffreedom<=tPROB(f,df1,df2)ReturnsprobabilityofanFwithdf1anddf2degreesoffreedom<=fPROBCHI(x2,df)Returnsprobabilityofachi-squarewithdfdegreesoffreedom<=-tailedp-valuesZ:pvalue=(1-PROBNORM(z))*2;T:pvalue=(1-PROBT(t,df))*2;F:pvalue=1-PROBF(f,df1,df2);X2:pvalue=1-PROBCHI(x2,df));,powerofstatisticaltestsorsimplyresultsinsituationsinwhichanalyticformula’.,Logisticregression,(Seed)datacoinflip;x=ranuni(-1);ifx<=.5thencoin='head';elsecoin='tail';procprintdata=coinflip;run;Randomvaluesbetween0and1Ifseedisnegative,seedactuallyusedistimeIfseedispositive,seedactuallyusedisthevalueR
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