SAS中區(qū)間估計(jì)與假設(shè)檢驗(yàn) 很全很好課件

Sas中能進(jìn)行區(qū)間估計(jì)和假設(shè)檢驗(yàn)的過(guò)程及語(yǔ)句很多，我們主要介紹：Means（summary）過(guò)程Univariate

過(guò)程Capability過(guò)程Ttest過(guò)程區(qū)間估計(jì)與假設(shè)檢驗(yàn)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(guò)程只能對(duì)均值進(jìn)行區(qū)間估計(jì)大前提是該變量服從正態(tài)分布Means過(guò)程做區(qū)間估計(jì)Procunivariatedata=classcibasic(alph=0.01);Varheight;Run;注：可以對(duì)均值、標(biāo)準(zhǔn)差及方差進(jìn)行區(qū)間估計(jì)大前提是該變量服從正態(tài)分布Univariate過(guò)程做區(qū)間估計(jì)Dataclass0;Setclass;H0=height-62.33;Procmeansdata=class0tprobt

/*prt*/;VarH0;Run;注：means過(guò)程只能對(duì)均值=0進(jìn)行假設(shè)檢驗(yàn)，大前提是該變量服從正態(tài)分布Means過(guò)程做假設(shè)檢驗(yàn)Procunivariatedata=class;Varheight;Run;注：缺省情況下對(duì)均值=0進(jìn)行假設(shè)檢驗(yàn)大前提是該變量服從正態(tài)分布Univariate過(guò)程做假設(shè)檢驗(yàn)Proc

univariatedata=classmu0=62;Varheight;Outputout=t_testt=t_valueprobt=p_value;Run;ProcCapabilitydata=class;Varheight;Run;注：缺省情況下對(duì)均值=0進(jìn)行假設(shè)檢驗(yàn)大前提是該變量服從正態(tài)分布Capability過(guò)程做假設(shè)檢驗(yàn)Proc

Capabilitydata=classmu0=62;Varheight;Run;PROCTTEST格式PROCTTEST<選項(xiàng)>;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(duì)的t檢驗(yàn)

簡(jiǎn)便法(x)常規(guī)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(xiàn)有兩種方法測(cè)定血液中的某種物質(zhì)的含量，簡(jiǎn)便法和常規(guī)法，對(duì)12個(gè)人同時(shí)用兩種方法進(jìn)行測(cè)定，分析兩種方法是否顯著不同？Procttestdata=ah0=0alpha=0.05/*缺省選項(xiàng)*/;pairedx*y;Run;Paired語(yǔ)句設(shè)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(hào)表示“到”，“至”的意思，右欄中的“-”是減號(hào)正態(tài)性檢驗(yàn)前面的區(qū)間估計(jì)和假設(shè)檢驗(yàn)都要假設(shè)變量為正態(tài)，所以在進(jìn)行區(qū)間估計(jì)或檢驗(yàn)之前一定要進(jìn)行正態(tài)性檢驗(yàn)Procunivariatedata=classnormal;Varheight;Run;自編程序進(jìn)行區(qū)間估計(jì)和假設(shè)檢驗(yàn)當(dāng)要進(jìn)行的估計(jì)或檢驗(yàn)沒(méi)有現(xiàn)成的過(guò)程或語(yǔ)句可用時(shí)，可以自編程序進(jìn)行估計(jì)或檢驗(yàn)。下表給出一公司生產(chǎn)的60個(gè)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(qū)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(xù)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(shí)，如何自編這個(gè)程序？?jī)山M均數(shù)差別比較的U（Z）檢驗(yàn)將20名貧血患兒隨機(jī)分成兩組，分別用新藥和常規(guī)藥進(jìn)行