课后参考答案

第二章参照答案1.填空（1）命名一种库标识的关键词是____libname__。（2）在语句Libnamelibref’sas-data-library’；中，libref表达___库名_____。（3）SAS数据库可分为________临时库____和______永久库________两种。（4）每次SAS启动时都自动指定两个库标识：____work库_______和___sasuser库__，其中______sasuser库____是永久库，它表达在结束SAS后其中的文献___将保留___，但库标识仍是___永久的___。2libnamexupeng'c:\economics\teach';dataxupeng.xp;inputname$agesex$heightweight;cards;KATIE 12 女 145 43.1LOUISE 12 女 149 55.8JANE 12 女 135 33.6JACLYN 12 女 162 65.8LILLIE 12 女 127 29.1TIM 12 男 147 38.1JAMES 12 男 149 58.1ROBERT 12 男 125 35.9BARBARA 13 女 147 50.8ALICE 13 女 149 48.6SUSAN 13 女 137 30.4;run;procsort;bydescendingheight;run;procprint;bydescendingheight;run;3Datascore;Inputname$sex$ChinesemathsphscheEnglish;Total=sum(ofChinesemathsphscheEnglish);Avg=total/5;Cards;王辉 男 80 85 827890李唱 女 85 93 887089张三 男 77 86 678285王二 女 81 78 938387;run;procsortout=xupeng(keep=namesextotal);bysex;run;procprint;run;试验2.1（数据已经带大家整顿好请大家自己亲手操作！）dataxupeng;setsasuser.houses;run;dataxupeng1;inputstreet$20.style$sqfeetbedroomsbathsprice15.2;cards;SheppardAvenueRANCH12502164000.00RandStreetSPLIT11901165850.00MarketStreetCONDO140021.580050.00GarrisStreetTWOSTORY181043107250.00KembleAvenueRANC00WestDriveSPLIT16154394450.00GrahamAvenueSPLIT130531.573650.00HampshireAvenueCONDO139032.579350.00SandersRoadTWOSTORY10402155850.00JeansAvenueCONDO210542.5127150.00StateHighwayRANC00FairbanksCircleTWOSTORY12402169250.00NicholsonDriveRANCH7201134550.00HighlandRoadTWOSTORY174542.5102950.00ArcataAvenueCONDO186022110700.00RandStreetSPLIT11901165850.00MarketStreetCONDO140021.580050.00MarketStreetCONDO140021.580050.00;run;procprint;run;第三章参照答案试验3.11.试用产生原则正态分布的随机函数normal（seed）产生参数为10的分布随机数100个。dataxupeng;doi=1to100by1;y=0;doj=1to10by1;z=normal(0);y=y+z*z;end;output;end;run;procprintdata=xupeng(drop=ij);run;2.下列程序中的数据来自某企业产品销售资料。其中，变量region表达销售的地区，es代表东部地区，so代表南部地区，we代表西部地区，ne代表北部地区；变量citisize表达该地区的规模大小，用L，M和S分别代表大、中、小三种规模；变量pop代表该地区的人数；变量product代表产品类型，分别有a100（打印机），a200（计算机）二种；变量saletype代表销售方式，其中，R代表零售，W代表批发；变量quantity代表销售量，而price代表销售价格。（1）创立一种仅包括地区、销售的产品类型、销售数量和销售额的数据集。（2）分别创立一种仅包括产品类型a100和产品类型a200的SAS数据集。（3）选择一种人口在50000以上的部分子集。datasales;inputregion$citisize$popproduct$saletype$quantityprice@@;cards;es s 25000 a100 r 150 3750 ne s 37000 a100 r 200 5000so s 48000 a100 r 410 10250 we s 3 a100 r 180 4500es m 125000 a100 r 350 8750 ne m 237000 a100 r 600 15000so m 348000 a100 r 710 17750 we m 43 a100 r 780 19500es l 62500 a100 r 750 18750 ne l 837000 a100 r 800 0so l 748000 a100 r 760 19000 we l 93200 a100 r 880 2es s 25000 a100 w 150 3000 ne s 37000 a100 w 200 4000so s 48000 a100 w 410 8200 we s 3 a100 w 180 3600es m 125000 a100 w 350 7000 ne m 237000 a100 w 600 1so m 348000 a100 w 710 14200 we m 43 a100 w 780 15600es l 62500 a100 w 750 15000 ne l 837000 a100 w 800 16000so l 748000 a100 w 760 15200 we l 93 a100 w 880 17600es s 25000 a200 r 165 4125 ne s 37000 a200 r 215 5375so s 48000 a200 r 425 10425 we s 3 a200 r 195 4875es m 125000 a200 r 365 9125 ne m 237000 a200 r 615 15375;run;dataregion;setsales;keepregion;run;datastyle;setsales;keepsaletype;run;dataquantity;setsales;keepquantity;run;dataxupengxupeng1xupeng2;setsales;ifproduct='a100'thenoutputxupeng1;elseoutputxupeng2;run;procprintdata=xupeng1;run;procprintdata=xupeng2;run;dataxupeng3;setsales;ifpop>50000thenoutput;elsedelete;run;procprintdata=xupeng3;run;3.如下数据来自7位同学的高考语文、数学和英语成绩，试用编程的措施计算出平均成绩在75以上男同学的人数。m827869f907889m798698m765680f727681f697891m927185datadangtu;inputsex$chinesemathsenglish@@;average=sum(ofchinesemathsenglish)/3;ifsex='m'andaverage>75thenn+1;cards;m827869f907889m798698m765680f727681f697891m927185;run;procprint;run;试验3.21.把如下程序改为：（1）输出中总成绩没有缺省值；（2）把while改为until，并解释输出成果。dataclass;inputsex$chinesemathsenglish@@;doi=1to10by2while（nlt2）;total=chinese+maths+english;n+1;end;ave=sum（chinese+maths+english）/3;cards;m827869f907889m798698m765680f727681f697891m927185;procprint;run;（1）dataclass;inputsex$chinesemathsenglish@@;doi=1to10by2while(nlt10000);total=chinese+maths+english;n+1;end;ave=sum(ofchinesemathsenglish)/3;cards;m827869f907889m798698m765680f727681f697891m927185;run;;procprint;run;（2）dataclass;inputsex$chinesemathsenglish@@;doi=1to10by2until(nlt2);total=chinese+maths+english;n+1;end;ave=sum(ofchinesemathsenglish)/3;cards;m827869f907889m798698m765680f727681f697891m927185;run;;procprint;run;2.下列程序中的数据来自某企业产品销售资料。其中，变量region表达销售的地区，es代表东部地区，so代表南部地区，we代表西部地区，ne代表北部地区；变量citisize表达该地区的规模大小，用L，M和S分别代表大、中、小三种规模；变量POP代表该地区的人数；变量product代表产品类型，分别有a100（打印机），a200（计算机）和a300（复印机）三种；变量saletype代表销售方式，其中，R代表零售，W代表批发；变量quantity代表销售量，而price代表销售价格。（1）创立一种仅包括地区、销售的产品类型、销售数量的数据集，然后把这几种数据集连接起来（用SET语句）。（2）分别创立一种仅包括产品类型a100和产品类型a200的SAS数据集，然后把两个数据集并起来（用MERGE语句）。15000以上的产品类型和地区的数据集。datasales;inputregion$citisize$popproduct$saletype$quantityprice@@;cards;es s 25000 a100 r 150 3750 ne s 37000 a100 r 200 5000so s 48000 a100 r 410 10250 we s 3 a100 r 180 4500es m 125000 a100 r 350 8750 ne m 237000 a100 r 600 15000so m 348000 a100 r 710 17750 we m 43 a100 r 780 19500es l 62500 a100 r 750 18750 ne l 837000 a100 r 800 0so l 748000 a100 r 760 19000 we l 93200 a100 r 880 2es s 25000 a100 w 150 3000 ne s 37000 a100 w 200 4000so s 48000 a100 w 410 8200 we s 3 a100 w 180 3600es m 125000 a100 w 350 7000 ne m 237000 a100 w 600 1so m 348000 a100 w 710 14200 we m 43 a100 w 780 15600es l 62500 a100 w 750 15000 ne l 837000 a100 w 800 16000so l 748000 a100 w 760 15200 we l 93 a100 w 880 17600es s 25000 a200 r 165 4125 ne s 37000 a200 r 215 5375so s 48000 a200 r 425 10425 we s 3 a200 r 195 4875es m 125000 a200 r 365 9125 ne m 237000 a200 r 615 15375;run;dataregion;setsales;keepregion;run;datastyle;setsales;keepsaletype;run;dataquantily;setsales;keepquantity;run;datadangtu;setregionsaletypequantity;run;dataxupengxupeng1xupeng2;setsales;ifproduct='a100'thenoutputxupeng1;elseoutputxupeng2;run;datadangtu1;mergexupeng1xupeng2;run;dataxupeng3;setsales;ifquantity>150000thenoutputout=xupeng3;elsedelete;run;procprintdata=xupeng3(keep=saletyperegion);run;用数组语句（ARRAY）按次序把矩阵A=输入到数据集b。dataxpb;inputx1-x9@@;arrayxupeng1{9}x1-x9;doi=1to9;ifxupeng1{i}=ithenoutputb;end;cards;123456789;run;procprintdata=b(keep=i)noobs;run;习题31.某人将500美元存入在某银行的存款账户，这个账户利率为7%，每年计息一次。用累加语句和循环语句计算三年末此人能得多少钱。dataxupeng;inputcashinterest;doi=1to3by1;z=cash*(1+interest)**i;end;cards;5000.07;run;procprintdata=xupeng;run;2.下列5个年份中，国内生产总值资料如下（数据摘自《中国记录年鉴》，单位：亿元）：年份第一产业17381.721412.722420.024040.028095.0第二产业62436.373904.387364.6103162.0121381.3第三产业56004.764561.373432.984721.4试分别用：（1）DROP语句,KEEP语句，输出年份、国内生产总值和其中的一种产业生产总值。Dataxupeng;Inputyearfirstsecondthird@@;Cards; 17381.762436.356004.721412.773904.364561.3 22420.087364.673432.924040.0103162.084721.428095.0121381.3100053.5;run;Dataxupeng1;Setxupeng;Dropfirstsecondthird;Run;Procprintdata=xupeng1;run;Dataxupeng2;Setxupeng;Dropfirstsecondyear;Run;Procprintdata=xupeng2;run;Dataxupeng3;Setxupeng;gdp=sum(offirstsecondthird);Dropfirstsecondthirdyear;Run;Procprintdata=xupeng3;run;Dataxupeng4;Setxupeng;gdp=sum(offirstsecondthird);keepgdp;Run;Procprintdata=xupeng4;run;Dataxupeng5;Setxupeng;keepthird;Run;Procprintdata=xupeng5;run;Dataxupeng6;Setxupeng;keepyear;Run;Procprintdata=xupeng6;run;3.我国内地各省、自治区、直辖市农村居民家庭平均每人纯收入如下（数据摘自《中国记录年鉴》，单位：元）：全国北京天津河北山西内蒙古辽宁吉林4140.369439.637010.064293.433665.663953.104773.434191.34黑龙江上海江苏浙江安徽福建江西山东4132.2910144.626561.018265.153556.275467.084044.704985.34河南湖北湖南广东广西海南重庆四川3851.603997.483904.205624.043224.053791.373509.293546.69贵州云南西藏陕西甘肃青海宁夏新疆2373.992634.092788.202644.692328.922683.783180.843182.97试建立两个数据集，用IF-THEN，OUTPUT以及DO语句分别输出高于和低于我国内地农村居民家庭平均每人纯收入的省份，并对其进行计数。Dataxupeng1xupeng2;Inputstate$income@@;Ifincome>4140.6thenDo;N+1;Outputxupeng1;End;ElseOutputxupeng2;Cards;北京 9439.63 天津 7010.06 河北 4293.43 山西 3665.66 内蒙古 3953.1 辽宁 4773.43 吉林 4191.34黑龙江 4132.29 上海 10144.62 江苏 6561.01 浙江 8265.15 安徽 3556.27 福建 5467.08 江西 4044.7 山东 4985.34河南 3851.6 湖北 3997.48 湖南 3904.2 广东 5624.04 广西 3224.05 海南 3791.37 重庆 3509.29 四川 3546.69贵州 3546.69 云南 2634.09 西藏 2788.2 陕西 2644.69 甘肃 2328.92 青海 2683.78 宁夏 3180.84 新疆 3182.97;run;Procprintdata=xupeng1;run;Procprintdata=xupeng2(drop=n);run;4.下表列出了我国内地各省、自治区、直辖市按行业分职工平均工资资料（摘自《中国记录年鉴》，单位：元）：地区北京天津河北山西内蒙古辽宁吉林平均工资45823333121974221315217942288220371黑龙江上海江苏浙江安徽福建江西山东1848144976272123081821699222771814422734河南湖北湖南广东广西海南重庆四川2063919548210602965821251192202296521081贵州云南西藏陕西甘肃青海宁夏新疆2025419912428202097720657253182572321249试用DELETE语句输出年平均工资到达0元的地区。参照第三题Dataxupengxupeng1xupeng2;Inputstate$income@@;Ifincome>4140.6thenOutputxupeng1;ElseOutputxupeng2;Cards;...;5.表p.1、表p.2分别给出了我国内地农业和工业部分重要产品产量居世界位次（摘自《中国记录年鉴》）：表p.1产品名称1990年谷物11111肉类11111籽棉11111大豆34444表p.2产品名称1990年钢41111煤11111原油55565根据上表，建立两个数据集，再运用SET语句将两者连接。dataxupeng1;inputstyle$year1-year5@@;cards;谷物 1 1 1 1 1肉类 1 1 1 1 1籽棉 1 1 1 1 1大豆 3 4 4 4 4;run;dataxupeng2;inputstyle$year1-year5@@;cards;4 1 1 1 11 1 1 1 15 5 5 6 5;run;dataxupeng3;setxupeng1xupeng2;run;procprint;run;6.下面是从1954年—1998年我国内地的人均GDP资料（表p.3），试根据所给出的数据计算这期间人均GDP的平均值、原则差、原则误差、变异系数、偏度和峰度。表p.3年份195419551956195719581959196019611962196319641965196619671968GDP144150165168200216218185173181208240254235222年份196919701971197219731974197519761977197819791980198119821983GDP243275288292309310327316339379417460489525580年份198419851986198719881989199019911992199319941995199619971998GDP692853956110413551512163418792287293939234854557660536392dataxupeng;inputgdp@@;cards;144 150 165 168 200 216 218 185 173 181 208 240 254 235 222243 275 288 292 309 310 327 316 339 379 417 460 489 525 580692 853 956 1104 1355 1512 1634 1879 2287 2939 3923 4854 5576 6053 6392;run;procmeansmeanstdstderrcvskewnesskurtosis;run;7.下表（表p.4）是我国内地各省、自治区、直辖市按支出法计算的地区生产总值资料（摘自《中国记录年鉴》，单位：亿元）：试用Sort过程、Means过程语句完毕下列工作：（1）按地区生产总值排序。（2）计算各项经济指标平均值，并显示最大值与最小值。dataxupeng;inputname$gdpconsumeinvestservice@@;cards;北京 9353.32 5082.8 4558.27 -287.75天津 5050.4 2064.39 2922.47 63.54河北 13709.5 5915.2 6761.26 1033.04山西 5730.99 2586.56 3204.43 -60内蒙古 6091.12 2631.52 4494.4 -1034.8辽宁 11023.49 4583.2 6336.85 103.44吉林 5601.14 2588.42 3880.04 -867.32黑龙江 7065 3514.32 3036.93 513.75上海 12188.85 6016.31 5568.49 604.05江苏 25741.15 10817.13 12371.23 2552.79浙江 18780.44 8652.34 8512 1616.1安徽 7364.18 3981.46 3419.71 -36.99福建 9339.51 4269.36 4704.56 365.59江西 5500.25 2793.45 2766.96 -60.16山东 25965.91 11239.14 12607.51 2119.26河南 15012.46 6831.27 8366.37 -185.18湖北 9550.04 4999.66 4450.25 100.13湖南 9200 5333.98 4034.75 -168.73广东 31084.4 15166.71 11148.88 4768.81广西 5955.65 3283.21 3034.53 -362.09海南 1223.28 653.69 558.42 11.17重庆 4303.84 2460.49 2679.18 -835.83四川 10505.3 5671.56 5185.46 -351.72贵州 2741.9 2134.39 1421.01 -813.5云南 4741.31 2908.08 2666.73 -833.5西藏 342.19 241.08 272.5 -171.39陕西 5465.79 2471.16 3329.79 -335.16甘肃 2702.4 1615.37 1322.52 -235.49青海 783.61 509.45 496.71 -222.55宁夏 889.2 527.94 654.31 -293.05新疆 3523.16 1930.76 2089.83 -497.43;run;procsortdata=xupengout=xupeng1;bygdp;run;procmeansmeanmaxmin;vargdpconsumeinvestservice;run;第四章参照答案1.下面为6月30日沪市所有36家房地产上市企业公布的营业总收入(证券代号营业总收入证券代号营业总收入证券代号营业总收入60004853813360032513131460064854875600052101670600376132642600663148054600053153636003832267736006656919860006472879600393629686006751448366000821232760046339952600684112166001679178600503216016007323979760017599980600533856786007361216726002159707600603258600748107478600240195796006341167600767124860024622586160063830011600791383060025691490600639379256008234422360032211932060064174112601588167333试根据以上数据计算：（1）这36家上市企业的平均营业总收入（保留一位有效小数），并找出营业总收入最大和最小值。（2）明显性水平为0.1即置信水平为90%的均值的置信区间。（3）这36家上市企业营业总收入的方差、变异系数、极差。（4）这36家上市企业营业总收入的分布形状参数：偏度和峰度。datastock;inputnameincome@@;cards;600048 538133 600325 131314 600648 54875600052 101670 600376 132642 600663 148054600053 15363 600383 226773 600665 69198600064 72879 600393 62968 600675 144836600082 12327 600463 39952 600684 11216600167 9178 600503 21601 600732 39797600175 99980 600533 85678 600736 121672600215 9707 600603 258 600748 107478600240 19579 600634 1167 600767 1248600246 225861 600638 30011 600791 3830600256 91490 600639 37925 600823 44223600322 119320 600641 74112 601588 167333;procmeansmeanmaxminalpha=0.1clmvarcvrangeskewnesskurtosismaxdec=1;varincome;outputout=stock1maxid(income(name))=uincomeminid(income(name))=lincome;procprintdata=stock1(drop=_type_);run;2.试用产生原则正态分布的随机函数normal(seed)产生均值为100，方差为30的正态随机函数100个，并完毕下列问题：（1）计算均值的95%的置信区间。（2）试用univariate过程检查上述数据的正态性。datanormal;doi=1to100;n=normal(0);z=100+sqrt(30)*n;output;end;run;procmeansalpha=0.05clm;varz;run;procunivariatenormal;varz;run;3.检查下面数据与否服从正态分布，并画茎叶图、盒形图、正态概率图：167.939169.369176.228172.077163.284169.564174.022157.814170.794164.796172.887166.425166.189176.456162.080167.290175.004165.762158.315167.812178.715170.624173.090180.698172.621176.095164.211174.641173.427171.869166.742167.137175.704168.537175.321173.532168.285171.333173.911171.226174.694169.868178.338171.044178.550173.199168.664169.562168.996dataxupeng;inputheight@@;cards;167.939169.369176.228172.077163.284169.564174.022157.814170.794164.796172.887166.425166.189176.456162.080167.290175.004165.762158.315167.812178.715170.624173.090180.698172.621176.095164.211174.641173.427171.869166.742167.137175.704168.537175.321173.532168.285171.333173.911171.226174.694169.868178.338171.044178.550173.199168.664169.562168.996;run;procunivariateplotnormal;varheight;run;（成果是服从正态分布的）4.下面是1926年—1997年间美国大企业股票、小企业股票、长期企业债券、中期政府债券、美国国库券各年的收益及通货膨胀资料。试根据以上数据进行单变量分析，检查各类股票、各类债券的收益及通货膨胀数据与否服从正态分布。dataxupeng1;inputbstocsstoclbondgbondmbondabondinf@@;cards;11.60.287.377.775.383.27-1.4937.4922.17.448.934.523.12-2.0843.6139.692.840.10.923.56-0.97-8.42-51.363.273.426.014.750.2-24.9-38.157.984.666.722.41-6.03-43.34-49.75-1.85-5.31-2.321.07-9.52-8.19-5.3910.8216.848.810.96-10.353.99142.8710.38-0.071.830.30.51-1.4424.2213.8410.0390.162.0347.6740.199.614.987.010.172.9933.9264.86.747.523.060.181.21-35.03-58.012.750.231.560.313.131.1232.86.135.536.23-0.02-2.78-0.410.353.975.944.520.02-0.48-9.78-5.163.396.092.9600.96-11.59-92.730.930.50.069.7220.344.512.63.221.940.279.2925.988.372.832.082.810.353.1619.7553.724.732.811.80.332.1136.4473.614.0810.732.220.332.25-8.07-11.631.72-0.110.3518.165.710.92-2.34-2.620.910.59.015.5-2.114.143.41.850.812.7118.7919.753.316.452.321.1-1.831.7138.752.120.060.71.25.7924.027.8-2.69-3.930.361.495.8718.373.033.521.161.631.660.88-0.99-6.493.413.643.231.820.6252.6260.585.397.192.680.86-0.531.5620.440.48-1.29-0.651.570.376.564.28-6.81-5.59-0.422.462.86-10.78-14.578.717.467.843.143.0243.3664.89-2.22-6.09-1.291.541.7611.9616.4-0.97-2.26-0.392.951.50.47-3.299.0713.7811.762.661.4826.8932.094.820.971.852.130.67-8.73-11.97.956.895.562.731.2222.823.572.191.211.643.121.6516.4823.524.773.514.043.541.1912.4541.75-0.460.711.023.931.92-10.06-7.010.23.654.694.763.3523.9883.57-4.95-9.181.014.213.0411.0635.972.57-0.264.545.214.72-8.5-25.05-8.09-5.07-0.746.586.114.01-17.4318.3712.1116.866.525.4914.3116.511.0113.238.724.393.3618.984.437.265.695.163.843.41-14.66-30.91.14-1.114.616.938.8-26.47-19.95-3.064.355.69812.237.252.8214.649.20.835.87.0123.8457.3818.6516.7512.875.084.81-7.1825.381.71-0.691.415.126.776.5623.46-0.07-1.183.497.189.0318.4443.46-4.18-1.234.0910.3813.3132.4239.88-2.76-3.953.9111.2412.4-4.9113.88-1.241.869.4514.718.9421.4128.0142.5640.3629.110.543.8722.5139.676.260.657.418.83.86.27-6.6716.8615.4814.029.853.9532.1624.6630.0930.9720.337.723.7718.476.8519.8524.5315.146.161.135.23-9.3-0.27-2.712.95.474.4116.8122.8710.79.676.16.354.4231.4910.1816.2318.1113.298.374.65-3.17-21.566.786.189.737.816.1130.5544.6319.8919.315.465.63.067.6723.359.398.057.193.512.99.9920.9813.1918.2411.242.94.751.313.11-5.76-7.77-5.143.92.6737.4334.4627.231.6716.85.62.5423.0717.621.4-0.832.15.213.3233.3622.7812.9515.858.385.261.7;run;procunivariatenormal;run;5.根据第3章第7题所列数据，用MEANS过程，求：（1）各地区的平均最终消费。（2）最终消费离散程度、原则差系数。（3）各地区的最终消费形状：偏度、峰度。（4）明显性水平为0.1的T检查值、对应T值的概率和上、下置信限。dataxupeng2;inputaear$gdpconsumeassetnetcas@@;cards;北京9353.325082.84558.27-287.75天津5050.42064.392922.4763.54河北13709.55915.26761.261033.04山西5730.992586.563204.43-60内蒙古6091.122631.524494.4-1034.8辽宁11023.494583.26336.85103.44吉林5601.142588.423880.04-867.32黑龙江70653514.323036.93513.75上海12188.856016.315568.49604.05江苏25741.1510817.1312371.232552.79浙江18780.448652.3485121616.1安徽7364.183981.463419.71-36.99福建9339.514269.364704.56365.59江西5500.252793.452766.96-60.16山东25965.9111239.1412607.512119.26河南15012.466831.278366.37-185.18湖北9550.044999.664450.25100.13湖南92005333.984034.75-168.73广东31084.415166.7111148.884768.81广西5955.653283.213034.53-362.09海南1223.28653.69558.4211.17重庆4303.842460.492679.18-835.83四川10505.35671.565185.46-351.72贵州2741.92134.391421.01-813.5云南4741.312908.082666.73-833.5西藏342.19241.08272.5-171.39陕西5465.792471.163329.79-335.16甘肃2702.41615.371322.52-235.49青海783.61509.45496.71-222.55宁夏889.2527.94654.31-293.05新疆3523.161930.762089.83-497.43;procmeansmeancvstdskewnesskurtosisalpha=0.1tprtclm;varconsume;run;6.根据第3章第7题所列数据，用UNIVARIATE过程：（1）对各地区国内生产总值进行常规记录量检查，显示频数分布、绘出茎叶图、盒形图和正态概率图；（2）进行正态性检查。dataxupeng2;inputaear$gdpconsumeassetnetcas@@;cards;北京9353.325082.84558.27-287.75天津5050.42064.392922.4763.54河北13709.55915.26761.261033.04山西5730.992586.563204.43-60内蒙古6091.122631.524494.4-1034.8辽宁11023.494583.26336.85103.44吉林5601.142588.423880.04-867.32黑龙江70653514.323036.93513.75上海12188.856016.315568.49604.05江苏25741.1510817.1312371.232552.79浙江18780.448652.3485121616.1安徽7364.183981.463419.71-36.99福建9339.514269.364704.56365.59江西5500.252793.452766.96-60.16山东25965.9111239.1412607.512119.26河南15012.466831.278366.37-185.18湖北9550.044999.664450.25100.13湖南92005333.984034.75-168.73广东31084.415166.7111148.884768.81广西5955.653283.213034.53-362.09海南1223.28653.69558.4211.17重庆4303.842460.492679.18-835.83四川10505.35671.565185.46-351.72贵州2741.92134.391421.01-813.5云南4741.312908.082666.73-833.5西藏342.19241.08272.5-171.39陕西5465.792471.163329.79-335.16甘肃2702.41615.371322.52-235.49青海783.61509.45496.71-222.55宁夏889.2527.94654.31-293.05新疆3523.161930.762089.83-497.43;procunivariatefreqplotnormal;vargdp;run;第五章参照答案4.某年终，某市城调队对80户居民家庭收入与消费状况进行了抽样调查，成果如下：试根据以上资料完毕如下问题：（1）按房屋与否购置进行记录分组，并计算每组家庭总收入和食品总支出。（2）按房屋与否购置进行记录分组后，计算每组家庭收入占总收入的比例。（3）以收入最高者年龄为横轴，家庭年收入为纵轴作散点图，符号为“*”。dataxupeng;inputexpendincomepeoplehagehouse@@;cards;4.72433215.22932816.13022504.823143110.15245009.2612550