假设检验SASVIP免费

参数估计与假设检验的SAS分析参数估计的SAS分析参数估计1、点估计2、区间估计区间估计SAS程序：①根据原始变量值，计算均数的双侧95%可信区间，用MEANS过程，加clm选项完成即可。②后面t-test也可以计算③如果只知道样本均数，S，求95%可信区间。可以用下列程序。X①求某市120名12岁健康男孩的平均身高Dataprg5_1;Inputx@@;Datalines;142.3156.6142.7145.7138.2141.6142.5130.5132.1135.5134.5148.8134.4148.8137.9151.3140.8149.8143.6149.0145.2141.8146.8135.1150.3133.1142.7143.9142.4139.6151.1144.0145.4146.2143.3156.3141.9140.7145.9144.4141.2141.5148.8140.1150.6139.5146.4143.8150.0142.1143.5139.2144.7139.3141.9147.8140.5138.9148.9142.4134.7147.3138.1140.2137.4145.1145.8147.9146.7143.4150.8144.5137.1147.1142.9134.9143.6142.3143.3140.2125.9132.7152.9147.9141.8141.4140.9141.4146.7138.7160.9154.2137.9139.9149.7147.5136.9148.1144.0137.4134.7138.5138.9137.7138.5139.6143.5142.9146.5145.4129.4142.5141.2148.9154.0147.7152.3146.6139.2139.9；Procmeansnmeanstdstderrcvclm;Varx;Run;②见后面t检验③知道样本均数，标准差S，求95%可信区间。可以用下列程序。Dataprg5_2;N=120;Mean=143.05;Std=5.82;T=tinv(0.975,n-1);In=t*std/sqrt(n);Lclm=mean-in;Uclm=mean+in;Run;Procprint;Varlclmuclm;Run;两总体均数相差的可信区间两样本均数比较，总体均数差值的95%可信区间与假设检验Dataprg5_3;N1=10;N2=10;M1=10.2;M2=9.4;S1=3.58;S2=4.27;Sc2=(s1**2*(n1-1)+s2**2*(n2-1))/(n1+n2-2);St=sqrt(sc2*(1/n1+1/n2));T=tinv90.975,n1+n2-2);In=t*st;Lclm=abs(m1-m2)-in;Uclm=abs(m1-m2)+in;Procprint;Varlclmuclm;Run;总体率的置信区间估计例题6-6n=120,x=94,p=78.3%估计95%的可信区间。Dataprg6_6;N=120;P=0.783;sp=sqrt(p*(1-p)/n);u=probit(0.975);usp=u*sp;Lclm=p-usp;Uclm=p+usp;Procprint;Varnpsplclmuclm;Run;t检验单样本均数的t检验某医生测量了36名男性铅作业工人的血红蛋白含量，均数为130.8g/L，标准差为25.74g/L，正常男性血红蛋白含量一般为140g/L,铅作业工人的血红蛋白含量与正常人有无不同？Dataprg5_4;N=36;S_m=130.8;P_m=140.0;Std=25.74;Df=n-1;T=(s_m-p_m)/(std/sqrt(n));p=(1-probt(abs(t),df))*2;Procprint;Vartp;Run;某医生又测量了另外30名男性铅作业工人的血红蛋白含量，分别是：1717913578118175122105111140138132142140168113131145128124134116129155135134136113119132，问这批工人与正常男性血红蛋白含量140g/L有无不同？Dataprg5_5;Inputx@@;Cards;1717913578118175122105111140138132142140168113131145128124134116129155135134136113119132;Procttesth0=140;Varx;Run;配对设计资料的t检验DATAprg6_2;INPUTx1x2@@;d=x2-x1;CARDS;2.792.693.062.892.342.243.413.373.483.503.232.932.272.242.482.553.032.823.073.053.613.582.692.663.093.202.982.922.652.60;PROCMEANSNMEANstdstderrtPRT;VARd;TITLE'paired-comparisonsttest';RUN;DATAprg6_2;INPUTx1x2@@;d=x2-x1;CARDS;2.792.693.062.892.342.243.413.373.483.503.232.932.272.242.482.553.032.823.073.053.613.582.692.663.093.202.982.922.652.60;Procunivariate;Vard;Run;DATAprg6_2;INPUTx1x2@@;d=x2-x1;CARDS;2.792.693.062.892.342.243.413.373.483.503.232.932.272.242.482.553.032.823.073.053.613.582.692.663.093.202.982.922.652.60;Procttest;Vard;Run;成组资料两样本均数比较例3.9测得14名慢性支气管炎病人与11名健康人的尿中17酮类固醇（mol/24h）排出量如下，试比较两组人的尿中17酮类固醇的排出量有无不同。原始调查数据如下：病人X1：n=14;10.0518.7518.9915.9413.9617.6720.5117.2214.6915.109.428.217.2424.60健康人X2：n=11;17.9530.4610.8822.3812.8923.0113.8919.4015.8326.7217.29Dataprg5_6;Inputxc@@;Cards;10.05118.75118.99115.94113.96117.67120.51117.22114.69115.1019.4218.2117.24124.60117.95230.46210.882...