16统计量计算

16 [email protected]

CORR

PROC CORR ; BY variable-1 ; FREQ frequency-variable; PARTIAL variable(s); VAR variable(s); WEIGHT weight-variable; WITH variable(s);

Sheet1

BY

FREQ

PARTIAL

VAR

WEIGHT

WITH

Sheet2

Sheet3

PROC CORR PROC CORR ;

PROC CORR

Sheet1

ALPHA

BEST=

COV

CSSCP

DATA=

HOEFFDING

KENDALL

NOCORR

NOMISS

NOPRINT

NOPROB

NOSIMPLE

OUTH=

OUTK=

OUTP=

OUTS=

PEARSON

RANK

SINGULAR= p

SPEARMAN

SSCP

VARDEF=

DF|N|WDF|WEIGHT|WGT

Sheet2

Sheet3

VARVAR variable-list;

WITHWITH variable-list;VARVARWITH

PARTIALPARTIAL variable-list;PearsonSpearmanKendalltau-b

WEIGHTWEIGHT variable;Pearson

FREQFREQ variable;FREQFREQ

16.1 Pearsonproc corr data=fdata.fitness pearson spearman hoeffding;var weight oxygen runtime;title 'Measures of Association for';title2 'a Physical Fitness Study';run;

16.2 proc corr data=fdata.a1a0001 pearson spearman kendall hoeffding;var oppr hipr lopr clpr;title 'Spearman rho, Kendalltau-b, PearsonHoeffding';run;proc corr data=fdata.a1a0001 csscp cov;var oppr hipr lopr ;partial clpr;title '';run;proc corr data=fdata.a1a0001 cov alpha outp=corrout;var oppr hipr lopr ;title '';run;proc print data=corrout;title2 'PROC CORR';run;FDATA.A1A0001OPPR, HIPR, LOPR, CLPR4, PEARSONCRONBACHTYPE=CORR

16.3 data a; /* */merge fdata.a1a0001(keep=date oppr clpr)fdata.szcz(keep=date oppr clpr rename=(oppr=oppr_sz clpr=clpr_sz) );by date;run;proc corr data=a nomiss cov;var oppr_sz clpr_sz;with oppr clpr;title2 'COVCORR';run;proc corr data=a cov csscp outp=oup;title2 'CSSCPCOV';run;FDATA.A1A0001FDATA.SZCZ

16.4 Cronbach's Alphaoptions nodate pageno=1 linesize=80 pagesize=60;proc corr data=fdata.psychdat alpha nocorr nomiss;run;16.5 options nodate pageno=1 linesize=120 pagesize=60;proc corr data=fdata.fitness spearman kendall cov nosimple outp=fitcorr;var weight oxygen runtime;partial age;label age = 'Age of subject'weight = 'Wt in kg'runtime = '1.5 mi in minutes'oxygen = 'O2 use';title1 'Partial Correlations for a Fitness and Exercise Study';run;

PROC FREQ options; OUTPUT ; TABLES requests / options; WEIGHT variable; EXACT statistic-keywords; BY variable-list;

Sheet1

BY

EXACT

OUTPUT

TABLES

TEST

WEIGHT

Sheet2

Sheet3

PROC FREQ PROC FREQ options;

Sheet1

Data=

Compress

Formchar=

Noprint

Order=

Page

Sheet2

Sheet3

ORDER=

Sheet1

INTERNAL

FREQ

DATA

EXTERNAL|FORMATTED

Sheet2

Sheet3

FORMCHAR(1,2,7)= '' 1 2 7FORMCHAR=FORMCHAR(1,2,7)= '| - +';FORMCHAR=FORMCHAR(1,2,7)= ' ' ; /* */

16.6

proc format;value $sfmt 'M' = 'male ' 'F ' ='female';proc freq data=fdata.class order=formatted;table sex;format sex $sfmt.;run;

FDATA.CLASSSEX

TABLES TABLES requests / options;

PROC FREQTABLESTABLESFREQ

requests *16.7 TABLEtables a*(b c); /*Tables a*b a*c */tables (a b)*(c d); /*Tables a*c b*c a*d b*d */ tables (a b c)*d; /*Tables a*d b*d c*d */tables a-c; /*Tables a b c */tables (a--c)*d; /*Tables a*d b*d c*d */

options

Sheet1

MISSING

OUT=

AGREE

ALL

CHISQ

CMH

CMH1

CMH2

EXACT

JT

MEASURES

PLCORR

RELRISK

RISKDIFF

TESTF=

TESTP=

TREND

ALPHA=

CONVERGE=

MAXITER=

SCORES=

CELLCHI2

CUMCOL

DEVIATION

EXPECTED

MISSPRINT

SPARSE

TOTPCT

NOCOL

NOCUM

NOFREQ

NOPERCENT

NOPRINT

NOROW

Sheet2

Sheet3

Sheet1

MISSING

OUT=

AGREE

ALL

CHISQ

CMH

CMH1

CMH2

EXACT

JT

MEASURES

PLCORR

RELRISK

RISKDIFF

TESTF=

TESTP=

TREND

ALPHA=

CONVERGE=

MAXITER=

SCORES=

CELLCHI2

CUMCOL

DEVIATION

EXPECTED

MISSPRINT

SPARSE

TOTPCT

NOCOL

NOCUM

NOFREQ

NOPERCENT

NOPRINT

NOROW

Sheet2

Sheet3

WEIGHT WEIGHT variable;

WEIGHT

BY BY variable-list;

BYBYBYNOTSORTED

OUTPUT OUTPUT ;

PROC FREQSASOUTPUTTABLES PROC FREQOUTPUTTABLESOUTPUTTABLESTABLESOUTPUT OUT= output-statistic-list

OUTPUT-STATISTIC-LISTTABLES

Sheet1

AGREEAGREEEQWKPAGREE

AJCHIALL, CHISQFISHER|EXACTALL*, CHISQ*, FISHER, EXACT

ALLALLGAMMAALL, MEASURES

BDCHIALL, CMH, CMH1, CMH2JTJT

BINOMIALBINOMIAL, BINOMIALCKAPPAAGREE

CHISQALL, CHISQKENTBALL, MEASURES

CMHALL, CMHLAMCRALL, MEASURES

CMH1ALL, CMH, CMH1, CMH2LAMDASALL, MEASURES

CMH2ALL, CMH, CMH2LAMRCALL, MEASURES

CMHCORALL, CMH, CMH1, CMH2LGORALL, CMH, CMH1, CMH2

CMHGAALL, CMHLGRRC1ALL, CMH, CMH1, CMH2

CMHRMSALL, CMH, CMH2LGRRC2ALL, CMH, CMH1, CMH2

COCHQAGREELRCHIALL, CHISQ

CONTGYALL, CHISQMCNEMAGREE

CRAMVALL, CHISQMEASURESALL, MEASURES

EQKAPAGREEMHCHIALL, CHISQ

EQWKPAGREE

FISHER|EXACTALL*, CHISQ*, FISHER, EXACT

GAMMAALL, MEASURES

JTJT

KAPPAAGREE

KENTBALL, MEASURES

LAMCRALL, MEASURES

LAMDASALL, MEASURES

LAMRCALL, MEASURES

LGORALL, CMH, CMH1, CMH2

LGRRC1ALL, CMH, CMH1, CMH2


LRCHIALL, CHISQ

MCNEMAGREE

MEASURESALL, MEASURES

MHCHIALL, CHISQ

MHORALL, CMH, CMH1, CMH2

MHRRC1ALL, CMH, CMH1, CMH2MHRRC1ALL, CMH, CMH1, CMH2


NN

NMISSNMISS

ORALL, MEASURES, RELRISKORALL, MEASURES, RELRISK

PCHIALL, CHISQPCHIALL, CHISQ

PCORRALL, MEASURESPCORRALL, MEASURES

PHIALL, CHISQPHIALL, CHISQ

PLCORRPLCORRPLCORRPLCORR

RDIF1RISKDIFF, RISKDIFFCRDIF1RISKDIFF, RISKDIFFC


RELRISKALL, MEASURES, RELRISKRELRISKALL, MEASURES, RELRISK

RISKDIFFRISKDIFF, RISKDIFFCRISKDIFFRISKDIFF, RISKDIFFC

RISKDIFF1RISKDIFF, RISKDIFFCRISKDIFF1RISKDIFF, RISKDIFFC


RRC1ALL, MEASURES, RELRISKRRC1ALL, MEASURES, RELRISK


RSK1RISKDIFF, RISKDIFFCRSK1RISKDIFF, RISKDIFFC






SCORRALL, MEASURESSCORRALL, MEASURES

SMDCRALL, MEASURESSMDCRALL, MEASURES

SMDRCALL, MEASURESSMDRCALL, MEASURES

STUTCALL, MEASURESSTUTCALL, MEASURES

TRENDTRENDTRENDTREND

TSYMMAGREETSYMMAGREE

UALL, MEASURESUALL, MEASURES

UCRALL, MEASURESUCRALL, MEASURES

URCALL, MEASURESURCALL, MEASURES

WTKAPAGREEWTKAPAGREE

Sheet2

Sheet3

Sheet1

MHORALL, CMH, CMH1, CMH2RRC2ALL, MEASURES, RELRISK

MHRRC1ALL, CMH, CMH1, CMH2RSK1RISKDIFF, RISKDIFFC

MHRRC2ALL, CMH, CMH1, CMH2RSK11RISKDIFF, RISKDIFFC

NRSK12RISKDIFF, RISKDIFFC

NMISSRSK2RISKDIFF, RISKDIFFC

ORALL, MEASURES, RELRISKRSK21RISKDIFF, RISKDIFFC

PCHIALL, CHISQRSK22RISKDIFF, RISKDIFFC

PCORRALL, MEASURESSCORRALL, MEASURES

PHIALL, CHISQSMDCRALL, MEASURES

PLCORRPLCORRSMDRCALL, MEASURES

RDIF1RISKDIFF, RISKDIFFCSTUTCALL, MEASURES

RDIF2RISKDIFF, RISKDIFFCTRENDTREND

RELRISKALL, MEASURES, RELRISKTSYMMAGREE

RISKDIFFRISKDIFF, RISKDIFFCUALL, MEASURES

RISKDIFF1RISKDIFF, RISKDIFFCUCRALL, MEASURES

RISKDIFF2RISKDIFF, RISKDIFFCURCALL, MEASURES

RRC1ALL, MEASURES, RELRISKWTKAPAGREE


GAMMAALL, MEASURES

JTJT

KAPPAAGREE

KENTBALL, MEASURES

LAMCRALL, MEASURES

LAMDASALL, MEASURES

LAMRCALL, MEASURES




LRCHIALL, CHISQ

MCNEMAGREE


MHCHIALL, CHISQ

MHORALL, CMH, CMH1, CMH2MHORALL, CMH, CMH1, CMH2



NN

NMISSNMISS

ORALL, MEASURES, RELRISKORALL, MEASURES, RELRISK

PCHIALL, CHISQPCHIALL, CHISQ

PCORRALL, MEASURESPCORRALL, MEASURES

PHIALL, CHISQPHIALL, CHISQ

PLCORRPLCORRPLCORRPLCORR



RELRISKALL, MEASURES, RELRISKRELRISKALL, MEASURES, RELRISK

RISKDIFFRISKDIFF, RISKDIFFCRISKDIFFRISKDIFF, RISKDIFFC











SCORRALL, MEASURESSCORRALL, MEASURES

SMDCRALL, MEASURESSMDCRALL, MEASURES

SMDRCALL, MEASURESSMDRCALL, MEASURES

STUTCALL, MEASURESSTUTCALL, MEASURES

TRENDTRENDTRENDTREND

TSYMMAGREETSYMMAGREE

UALL, MEASURESUALL, MEASURES

UCRALL, MEASURESUCRALL, MEASURES

URCALL, MEASURESURCALL, MEASURES

WTKAPAGREEWTKAPAGREE

Sheet2

AGREEAGREE

AJCHIALL, CHISQ

ALLALL

BDCHIALL, CMH, CMH1, CMH2

BINOMIALBINOMIAL, BINOMIALC

CHISQALL, CHISQ

CMHALL, CMH

CMH1ALL, CMH, CMH1, CMH2

CMH2ALL, CMH, CMH2

CMHCORALL, CMH, CMH1, CMH2

CMHGAALL, CMH

CMHRMSALL, CMH, CMH2

COCHQAGREE

CONTGYALL, CHISQ

CRAMVALL, CHISQ

EQKAPAGREE

EQWKPAGREE


GAMMAALL, MEASURES

JTJT

KAPPAAGREE

KENTBALL, MEASURES

LAMCRALL, MEASURES

LAMDASALL, MEASURES

LAMRCALL, MEASURES




LRCHIALL, CHISQ

MCNEMAGREE


MHCHIALL, CHISQ

MHORALL, CMH, CMH1, CMH2

MHRRC1ALL, CMH, CMH1, CMH2

MHRRC2ALL, CMH, CMH1, CMH2

N

NMISS

ORALL, MEASURES, RELRISK

PCHIALL, CHISQ

PCORRALL, MEASURES

PHIALL, CHISQ

PLCORRPLCORR

RDIF1RISKDIFF, RISKDIFFC

RDIF2RISKDIFF, RISKDIFFC

RELRISKALL, MEASURES, RELRISK

RISKDIFFRISKDIFF, RISKDIFFC

RISKDIFF1RISKDIFF, RISKDIFFC

RISKDIFF2RISKDIFF, RISKDIFFC

RRC1ALL, MEASURES, RELRISK

RRC2ALL, MEASURES, RELRISK

RSK1RISKDIFF, RISKDIFFC






SCORRALL, MEASURES

SMDCRALL, MEASURES

SMDRCALL, MEASURES

STUTCALL, MEASURES

TRENDTREND

TSYMMAGREE

UALL, MEASURES

UCRALL, MEASURES

URCALL, MEASURES

WTKAPAGREE

Sheet3

16.8 data a;do I=1 to 1000;X=int(uniform(8888)*3)+1;Y=int(uniform(8888)*4)+1;output;end;proc freq data=a(drop=i);title 'TABLES';run;title;proc freq;tables x x*y/chisq;run;proc freq;tables x*y/list;run; [0, 1]1000[0, 1]34

16.9 TABLE

options nodate pageno=1 linesize=80 pagesize=60;proc freq data=fdata.color;weight count;tables eyes hair eyes*hair/out=freqcnt outexpect sparse;title 'Eye and Hair Color of European Children';run;

proc print data=freqcnt noobs;title2 'Output Data Set from PROC FREQ';run;

16.10 One-Way

proc sort data=fdata.color;by region;run;

proc freq data=fdata.color order=data;weight count;tables hair/nocum testp=(30 12 30 25 3);by region;title 'Hair Color of European Children';run;

16.11 One-Way

proc freq data=fdata.color order=freq;weight count;

tables eyes/binomial alpha=.1;

tables hair/binomial(p=.28);

title 'Hair and Eye Color of European Children';run;

16.12 22

options nodate pageno=1 linesize=84 pagesize=64;proc format;value expfmt 1='High Cholesterol Diet' 0='Low Cholesterol Diet';value rspfmt 1='Yes' 0='No';run;proc sort data=fdata.fatcomp; by descending exposure descending response;run;proc freq data=fdata.fatcomp order=data;weight count;tables exposure*response / chisq relrisk;exact pchi or;format exposure expfmt. response rspfmt.;title 'Case-Control Study of High Fat/Cholesterol Diet';run;

16.13

options nodate pageno=1 pagesize=60;proc freq data=fdata.color order=data;weight count;tables eyes*hair /chisq expected cellchi2 norow nocol;output out=chisqdat pchi lrchi n nmiss;title 'Chi-Square Tests for 3 by 5 Table of Eye and Hair Color';run;

proc print data=chisqdat noobs;title 'Chi-Square Statistics for Eye and Hair Color';title2 'Output Data Set from the FREQ Procedure';run;

16.14 Cochran-Mantel-Haenszel

options nodate pageno=1 linesize=80 pagesize=60;proc freq data=fdata.migraine;weight frequency;tables gender*treatment*improve/cmh noprint;title1 'Clinical Trial for Treatment of Migraine Headaches';run;

16.15 Cochran-Armitageoptions nodate pageno=1 linesize=80 pagesize=72;proc freq data=fdata.pain;weight count;tables dose*adverse /trend measures cl;test smdcr;exact trend /maxtime=60;title1 'Clinical Trial for Treatment of Pain';run;

16.16

proc freq data=fdata.rating;table _col3*_col4 _col4*_col5 /nocol norow nopercent ;run;

PROC MEANS ; BY variable-1 ; CLASS variable(s) ; FREQ variable; ID variable(s); OUTPUT ; TYPES request(s); VAR variable(s) < / WEIGHT=weight-variable>; WAYS list; WEIGHT variable;

Sheet1

BY

CLASS

FREQ

ID

OUTPUT

TYPES

VAR

WAYS

WEIGHT

Sheet2

Sheet3

PROC MEANS PROC MEANS ; option-list

Sheet1

ALPHA=

DATA=

NOPRINT

MAXDEC=

FW=

MISSING

NWAY

IDMIN

DESCENDING

ORDER=

VARDEF=

Sheet2

Sheet3

MBD000227ED.unknown

ORDER=

VARDEF=

Sheet1

INTERNAL

FREQ

DATA

EXTERNAL|FORMATTED

Sheet2

Sheet3

MBD000227ED.unknown

Sheet1

DF

WEIGHT|WGT

N

WDF

Sheet2

Sheet3

MBD000227ED.unknown

statistic-keyword-list

VARVAR variable-listBYCLASSIDFREQWEIGHT

BYBY variable-list;BYBYBYBYNOTSORTED

CLASSCLASS variable-list;BYCLASSCLASSCLASSBY


WEIGHTWEIGHT variable;WEIGHT

OUTPUTOUTPUT ;MEANSSAS

16.17 proc sort data=fdata.dd_c;by date;proc means data=fdata.dd_c noprint;by date;var sum;output out=sum sum=sum_c;run;

16.18 proc means data= fdata.r_month ;var rm rf r600600;output out=stat sum=s_rm s_rf s_r600600 n=n_rm n_rf n_r600600 mean=M_rm M_rf M_r600600 std=std_rm std_rf std_r600600 ;run;

1995~2000(RM)(RF)(R600600)STATS_RM , S_RF, S_R600600N_RM , N_RF, N_R600600M_RM, M_RF, M_R600600STD_RM, STD_RF , STD_R600600.

proc means data= fdata.r_month n mean max min range std fw=8;var rm rf;run;

16.19 options nodate pageno=1 linesize=80 pagesize=60;proc means data=fdata.cake n mean max min range std fw=8;var PresentScore TasteScore; title 'Summary of Presentation and Taste Scores';run;

16.20 CLASSproc means data=fdata.grade maxdec=3;class Status Year;types () status*year;var Score;title 'Final Exam Grades for Student Status and Year of Graduation';run;

16.21 BYCLASSoptions nodate pageno=1 linesize=80 pagesize=60;proc sort data=fdata.Grade out=GradeBySection;by section;run;proc means data=GradeBySection min max median;by section;class Status Year;var Score;title1 'Final Exam Scores for Student Status and Year of Graduation';title2 ' Within Each Section';run;

16.22 CLASSDATA=CLASSoptions nodate pageno=1 linesize=80 pagesize=60;proc means data=fdata.cake range median min max fw=7 maxdec=0 classdata=fdata.caketype exclusive printalltypes ;class flavor layers;var TasteScore;title 'Taste Score For Number of Layers and Cake Flavor';run;

16.23 CLASS

value agefmt (multilabel) 15 - 29='below 30 years' 30 - 50='between 30 and 50' 51 - high='over 50 years' 15 - 19='15 to 19' 20 - 25='20 to 25' 25 - 39='25 to 39' 40 - 55='40 to 55' 56 - high='56 and above'; run; proc means data=fdata.cake fw=6 n min max median nonobs;class flavor/order=freq;class age /mlf order=fmt;types flavor flavor*age;var TasteScore;format age agefmt. flavor $flvrfmt.;title 'Taste Score for Cake Flavors and Participant''s Age';run;

16.24 CLASSoptions nodate pageno=1 linesize=80 pagesize=64;proc format;value $flvrfmt 'Chocolate'='Chocolate' 'Vanilla'='Vanilla' 'Rum','Spice'='Other Flavor';options nodate pageno=1 linesize=80 pagesize=64;proc format;value layerfmt 1='single layer' 2-3='multi-layer' .='unknown';value $flvrfmt (notsorted) 'Vanilla'='Vanilla' 'Orange','Lemon'='Citrus' 'Spice'='Spice' 'Rum','Mint','Almond'='Other Flavor';run;proc means data=fdata.cake fw=7 completetypes missing nonobs;class flavor layers/preloadfmt exclusive order=data;ways 1 2;var TasteScore;format layers layerfmt. flavor $flvrfmt.;title 'Taste Score For Number of Layers and Cake Flavors';run;

16.25 proc means data=fdata.charity fw=8 maxdec=2 alpha=.1 clm mean std;class Year;var MoneyRaised HoursVolunteered;title 'Confidence Limits for Fund Raising Statistics';title2 '1992-94';run;

16.26

options nodate pageno=1 linesize=80 pagesize=60;proc means data=fdata.Grade noprint;class Status Year;var finalgrade;output out=sumstat mean=AverageGrade idgroup (max(score) obs out (name)=BestScore) /ways levels;run;proc print data=sumstat noobs;title1 'Average Undergraduate and Graduate Course Grades';title2 'For Two Years';run;

16.27

options nodate pageno=1 linesize=80 pagesize=60;proc means data=fdata.Grade noprint descend;class Status Year;var Score FinalGrade;output out=Sumdata (where=(status='1' or _type_=0)) mean= median(finalgrade)=MedianGrade;run;

proc print data=Sumdata;title 'Exam and Course Grades for Undergraduates Only';title2 'and for All Students';run;

16.28 CLASS

options nodate pageno=1 linesize=80 pagesize=60;proc means data=fdata.cake chartype nway noprint;class flavor /order=freq ascending;class layers /missing;var TasteScore;output out=cakestat max=HighScore;run;

proc print data=cakestat;title 'Maximum Taste Score for Flavor and Cake Layers';run;

16.29

options nodate pageno=1 linesize=80 pagesize=60;proc means data=fdata.Charity n mean range;class School Year;var MoneyRaised HoursVolunteered;output out=Prize maxid(MoneyRaised(name) hoursVolunteered(name))=MostCash MostTime max= ;title 'Summary of Volunteer Work by School and Year';run;

proc print data=Prize;title 'Best Results: Most Money Raised and Most Hours Worked';run;

UNIVARIATE

PROC UNIVARIATE ; BY variable-1 ; CLASS variable-1 ; FREQ variable; HISTOGRAM ; ID variable(s); INSET ; OUTPUT statistic-keyword-1=name(s) ; PROBPLOT ; QQPLOT ; VAR variable(s); WEIGHT variable;

Sheet1

BY

CLASS

FREQ

HISTOGRAM

ID

INSET

OUTPUT

PROBPLOT

QQPLOT

VAR

WEIGHT

Sheet2

Sheet3

MBD000227ED.unknown

PROC UNIVARIATE PROC UNIVARIATE DATA= SAS-datas-et ;

VARDEF=

Sheet1

DATA=

NOPRINT

PLOT

FREQ

NORMAL

PCTLDEF=

VARDEF=

ROUND=

Sheet2

Sheet3

MBD000227ED.unknown

Sheet1

DF

WEIGHT|WGT

N

WDF

Sheet2

Sheet3

MBD000227ED.unknown

VARVAR variable-list;BY, CLASS, ID,FREQWEIGHT

BYBY variable-list;BYBYBYBYNOTSORTED

IDID variable-list;UNIVARIATEIDIDPROC UNIVARIATEIDMINIDID

OUTPUT

OUTPUT OUT=statistic-keyword-1=name(s) ;UNIVARIATESASkeywordnamesstatistic-keyword-listUNIVARIATE

Sheet1

GINIMADQN

SNSTD_GINISTD_MAD

STD_QNSTD_QRANGESTD_SN

NORMALPROBNMSIGN

PROBMSIGNRANKPROBS

TPROBT

Sheet2

Sheet3

MBD000227ED.unknown

16.30 options nodate pageno=1 linesize=80 pagesize=72;proc univariate data=fdata.statepop;var citypop_90 citypop_80;title 'United States Census of Population and Housing';run;16.31 options nodate pageno=1 linesize=80 pagesize=68;proc univariate data=fdata.statepop freq round=1 nextrobs=2 nextrval=4;var citypop_90;id region state;title 'United States Census of Population and Housing';run;

16.32options nodate pageno=1 linesize=80 pagesize=72;proc univariate data=fdata.statepop robustscale trimmed=6 .25 winsorized=.1;var citypop_90;title 'United States 1990 Census of Population and Housing';run;

16.33 options nodate pageno=1 linesize=80 pagesize=60;proc univariate data=fdata.score1 loccount modes alpha=.01 cibasic(alpha=.05) cipctldf;var scorechange;label scorechange='Change in Test Scores';title 'Test Scores for a College Course';run;

16.34

options nodate pageno=1 linesize=64 pagesize=58;proc univariate data=fdata.score1 mu0=80 alpha=.1 cibasic(type=lower) cipctlnormal normal plots plotsize=26;var final;output out=pctscore median=Median pctlpts=98 50 20 70 pctlpre=Pctl_ pctlname=Top Mid Low;title 'Examining the Distribution of Final Exam Scores';run;

proc print data=pctscore noobs;title1 'Quantile Statistics for Final Exam Scores';title2 'Output Data Set from PROC UNIVARIATE';run;

16.35

options nodate pageno=1 linesize=80 pagesize=60;proc univariate data=fdata.score1 noprint;var test1 test2;output out=teststat mean=MeanTest1 MeanTest2 std=StdDeviationTest1 pctlpts=33.3 66 99.9 pctlpre=Test1_ Test2_ pctlname=Low ;run;

proc print data=teststat noobs;title1 'Univariate Statistics for Two College Tests';title2 'Output Data Set from PROC UNIVARIATE';run;

16.36 BYoptions nodate pageno=1 linesize=120 pagesize=80;proc format;value Regnfmt 1='Northeast' 2='South' 3='Midwest' 4='West';run;data metropop;set fdata.statepop;keep Region Decade Populationcount;label PopulationCount='US Census Population (millions)' Decade='Census year';decade=1980;populationcount=sum(citypop_80,noncitypop_80);output;decade=1990;populationcount=sum(citypop_90,noncitypop_90);output;

/**/proc sort data=metropop;by region decade;run;proc univariate data=metropop nextrobs=0 plots plotsize=20 ;var populationcount;by region decade;output out=censtat sum=PopulationTotal mean=PopulationMean std=PopulationStdDeviation pctlpts=50 to 100 by 25 pctlpre=Pop_ ;format region regnfmt.;title 'United States Census of Population and Housing';run;proc print data=censtat;title1 'Statistics for Census Data by Decade and Region';title2 'Output Dataset From PROC UNIVARIATE';run;

16.37 options nodate pageno=1 linesize=80 pagesize=60;goptions htitle=4 htext=3 ftext=swissb ftitle=swissb;data distrdata;drop n;labelnormal_x='Normal Random Variable'exponential_x='Exponential Random Variable';do n=1 to 100;normal_x=10*rannor(53124)+50;exponential_x=ranexp(18746363);output;end;run;

proc univariate data=distrdata noprint;var Normal_x;histogram Normal_x /normal(noprint) cbarline=grey ;title '100 Obs Sampled from a Normal Distribution';run;proc univariate data=distrdata noprint;var Exponential_x;histogram /exp(fill l=3) cfill=yellow midpoints=.05 to 5.55 by .25;title '100 Obs Sampled from an Exponential Distribution';run;

16.38

goptions htitle=4 htext=3 ftext=swissb ftitle=swissb;symbol value=star;proc univariate data=distrdata noprint;var Normal_x;probplot normal_x /normal(mu=est sigma=est) pctlminor;inset mean std / format=3.0 header='Normal Parameters' position=(95,5) refpoint=br;title1 '100 Obs Sampled from a Normal Distribution';title2 'Normal Probability Plot';run;

16.39 Two-Waygoptions htitle=4 htext=3 ftext=swiss ftitle=swiss;proc format;value Regnfmt 1='Northeast' 2='South' 3='Midwest' 4='West';run;proc univariate data=metropop noprint;var populationcount;class region decade(order=freq); histogram /nrows=4 ncols=2 intertile=1 cfill=cyan vscale=count vaxis=0 4 8 12 vaxislabel='No. of States' midpoints=0 to 30 by 5;inset sum='Total Population:' (4.1) / noframe position=ne height=2 font=swissxb;format region regnfmt.;title 'United States Census of Population and Housing';run;

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16统计量计算