Sas中能進行區間估計和假設檢驗的過程及語句很多，我們主要介紹：Means（summary）過程Univariate

過程Capability過程Ttest過程區間估計與假設檢驗Procmeansdata=classclm

maxdec=2alph=0.01;Varheight;Run;Procmeansdata=classmeanvar

clmalpha=0.01maxdec=3fw=8;Varheightweight;Outputout=mclassmean=var=vh

vw

lclm=lc

uclm=uc;Run;注：means過程只能對均值進行區間估計大前提是該變量服從正態分布Means過程做區間估計Procunivariatedata=classcibasic(alph=0.01);Varheight;Run;注：可以對均值、標準差及方差進行區間估計大前提是該變量服從正態分布Univariate過程做區間估計Dataclass0;Setclass;H0=height-62.33;Procmeansdata=class0tprobt

/*prt*/;VarH0;Run;注：means過程只能對均值=0進行假設檢驗，大前提是該變量服從正態分布Means過程做假設檢驗Procunivariatedata=class;Varheight;Run;注：缺省情況下對均值=0進行假設檢驗大前提是該變量服從正態分布Univariate過程做假設檢驗Proc

univariatedata=classmu0=62;Varheight;Outputout=t_testt=t_valueprobt=p_value;Run;ProcCapabilitydata=class;Varheight;Run;注：缺省情況下對均值=0進行假設檢驗大前提是該變量服從正態分布Capability過程做假設檢驗Proc

Capabilitydata=classmu0=62;Varheight;Run;PROCTTEST格式PROCTTEST<選項>;CLASS變量；PAIRED變量串；BY變量串；VAR變量串；FREQ變量串；WEIGHT變量；RUN;ttest配對的t檢驗

簡便法(x)常規法(y)2.41002.80002.90003.04002.75001.88002.23003.43003.67003.81004.49004.00005.16004.44005.45005.41002.06001.24001.64001.83001.06001.45000.77000.9200現有兩種方法測定血液中的某種物質的含量，簡便法和常規法，對12個人同時用兩種方法進行測定，分析兩種方法是否顯著不同？Procttestdata=ah0=0alpha=0.05/*缺省選項*/;pairedx*y;Run;Paired語句設置舉例Paireda*b;Paireda*bc*d;Paired(ab)*(cd);Paired(ab)*(cb);Paired(a1-a2)*(b1-b2);Paired(a1-a2):(b1-b2);a-ba-b,c-da-c,a-d,b-c,b-da-c,a-b,b-ca1-b1,a1-b2,a2-b1,a2-b2a1-b1,a2-b2左欄中的“-”是破折號表示“到”，“至”的意思，右欄中的“-”是減號正態性檢驗前面的區間估計和假設檢驗都要假設變量為正態，所以在進行區間估計或檢驗之前一定要進行正態性檢驗Procunivariatedata=classnormal;Varheight;Run;自編程序進行區間估計和假設檢驗當要進行的估計或檢驗沒有現成的過程或語句可用時，可以自編程序進行估計或檢驗。下表給出一公司生產的60個抽樣軸承滾珠直徑（單位：厘米）試求軸承滾珠直徑方差的98%的置信區間1.7381.7291.7431.7401.7361.7411.7351.7311.7261.7371.7281.7371.7361.7351.7241.7331.7421.7361.7391.7351.7451.7361.7421.7401.7281.7381.7251.7331.7341.7321.7331.7301.7321.7301.7391.7341.7381.7391.7271.7351.7351.7321.7351.7271.7341.7321.7361.7411.7361.7441.7321.7371.7311.7461.7351.7351.7291.7341.7301.740示例datazhoucheng;inputx@@;cards;1.7381.7291.7431.7401.7361.7411.7351.7311.7261.7371.7281.7371.7361.7351.7241.7331.7421.7361.7391.7351.7451.7361.7421.7401.7281.7381.7251.7331.7341.7321.7331.7301.7321.7301.7391.7341.7381.7391.7271.7351.7351.7321.7351.7271.7341.7321.7361.7411.7361.7441.7321.7371.7311.7461.7351.7351.7291.7341.7301.740;Proc

univariatedata=zhouchengnormal;Varx;outputout=bmean=mstd=s;run;示例續datac;setb;k1=cinv(0.01,59);k2=cinv(0.99,59);a1=59*s**2/k2;a2=59*s**2/k1;keepk1k2a1a2;run;總體均值已知時，如何自編這個程序？兩組均數差別比較的U（Z）檢驗將20名貧血患兒隨機分成兩組，分別用新藥和常規藥進行