概率论及sas作业

1、概率论及SAS作业P1421在校园中有3盏诱蛾灯，连续5天诱蛾记录如下：地点观测记录112463038172112124522313416118试用SAS先做Levene的F检验，再作对数转换后的方差分析。解：（1）检验方差是否同性质，用LeveneF检验：H0各方差具有相同性质sas代码：datacap_fly;doa=1to3;doi=1to5;inputx;output;end;end;cards;124630381711212452213416118;procanova;classa;modelx=a;meansa/hovtest;run;程序输出结果：LevenesTestforHo

2、mogeneityofxVarianceANOVAofSquaredDeviationsfromGroupMeansSumofMeanSourceDFSquaresSquareFValuePrFa255635.727817.94.470.0353Error1274596.96216.4/0.0353Fa20.04230.02110.200.8207Error121.26320.1053SAS至线The油口邛PrDcedLre2J:44Monda：Ceptridtrit在riablE：ySun.SourceDFSquarssLeanSqutrsFlalePrFNodEl22.5023915C1,

3、2544E753.57O.C608Er-cr124.209250JE0.35077C34Co-rectedTotal146.7-21415-SquareCjef-VarootMSEyNear.于289口?1.82362J.5322592.71E8WSourceDFAniwaS8LeanSqutrsFMusPrF方差来源平方和自由度2均方和K1,25僻值3用显著性因素A2.5021.253.57N误差4.21120.35总和6.7114,可见转换后方差同质（0.80270.05）,满足方差同质性假设，方差分析的结果是接受原假设，认为各地点诱蛾数量不存在显著差异（显著性水平0.05）P1471.对

4、3个玉米品种用3种方法进行管理，得到9个小区的产量（单位：kg）如下:品所-一_方法_B1B2B3A113043A312945A3152547作方差分析，估计各总体的未知参数.和j及.若有必要，求出两两均值差的双侧0.95置信区间。解：H01:各i.都相等，H02:各.j都相等作双因素方差分析，并对均值差作双侧区间估计。Sas代码：datacorn;doa=1to3;dob=1to3;inputx;output;end;end;cards;113043312945152547;procanova;classab;modelx=ab;meansab;meansab/lsdcldiff;DDn;S

5、ourceDF怕mSquareFValuePrF36J0J0001046JOJOOO3.000000523.0000001.030.423013.030.0176SAS至婉-he-4Dracecure08:4i-iDependenlvariable：乂SunofSourceDFSquaresffetnSquareFValuePrFMode141I32J0J0002E3.0000007.030.口Error4IGOJOJOOOiO.OOOOOOCorrectedTotal81292JOJOOOR-SquareCoeffVarRootl?SExMeai0.87616120,623556.32455

6、530.66667SAS更统Leve1ofTheANOVAProcedure八8LNMeanStdDev1328.100000016.03347692335.10000008.7177979Leve1of329.100000016.3707055NMeanStdDevb1319.100000010.58300522328.10000002.64575133345.10000002.0000000Compsirisonssignificantatthe0.05IeveIareindicatedby出*小.35笈ConfidenceLimitsDifferenceaBetweenCompariso

7、nMeans2-32-13-23-11-21-36.0007.000-6.0001.000-7.000-1.000888833333333I_H_UI_Lu212120.33821.3388.33815.3387.33813.338ComparisonDifferenceBetweenMeans35笈ConfidenceLimits17.0102.66231.338出帆26.01011.66240.338m-17.010-31.338-2.662m-9.010-5.33823.338-26.010-40.338-11.662m-9.010-23.3385.338方差来源平方和自由度均方和F值显

8、著性因素A862431.08N因素B1046252313.08*误差160440总和12928,各品种间不存在显著性差异，各管理方法对产量有显著性差异。均值估计结果品种管理方法产量均值A1A2A3B1B2B330.67283529192845/管理方法B1与B2间均值差的双侧0.95置信区间为1-23.338,5.338，管理方法B1与B3间均值差的双侧0.95置信区间为1-40.338,11.662，管理方法B2与B3间均值差的双侧0.95置信区间为【-31.338,-2.662】P153盆栽小麦施N肥施P肥试验得到单株产量（单位：KG）N一一一一一-_P_P0P1N09,12,910,13

9、,10N113,15,1414,20,17做方差分析，估计总体未知参数i.和.j及，若有必要，求出两两总体均值差双侧0.95置信区间。解：H01：施不同量N肥无显著差异；H02：施不同量P肥无显著差异；SAS代码：datawheat;don=1to2;dop=1to2;doi=1to3;inputx;output;end;end;end;cards;9129101310131514142017;procanova;classnp;modelx=npn*p;meansnp;meansnp/lsdcldiff;run;程序输出结果：SASStSE13:03TuesThe昌NOV岛Procedure

10、SourceDFSumofSquaresMeanSquareFValuePrFNode1390.000000030.00000007.500.0104Error832.00000004.0000000CorrectedTota111122.0000000R-8quireCoeffVarRootMSExMean0.73770515.384S22.00000013.00000SourceDFAnovaSSMeanSquareFValuePrFn175.0000000075.0000000018.750.0025P112.0000000012.000000003.000.1215n：+：p13.00

11、0000003.000000000.750.4117SAS羔统TheANOVAProcedureLevsIornNMeanStdDev1610.50000001.643167672615.50000002.53843582LevsIorPNMeanStdDev1612.00000002.529822132614.00000003.94963353Comp-arisonssignificantatthe0-051eve1areindicsl+edb：y。索米CoiiipirisonDifferenceBetreenMeans35常ConfidenceLimits5.000-5.0002.3377

12、.663-7.663-2.337方差来源平方和自由度均方和F值显著性N肥7517518.75*P肥121123.0NN、P肥交互作用3130.75N误差3284总和12211可见，施N肥对产量有极显著差异，施P肥和施N、P肥交互作用对产量无显著性影响。均值估计施N肥施P肥总均值氮肥1氮肥2磷肥1磷肥21310.515.51214/施氮肥1与施氮肥2对产量均值差的双侧0.95置信区间为【-7.663,-2.337】P158研究某品种玉米施N肥对蛋白质含量的影响，安排施肥与不施肥两个处理，每处理又有3个不同小区取容量为2的样本进行化学分析：处理施氮肥不施氮肥小区数据1234563,99,1110,

13、128,62,46,4做方差分析，估计各总体未知参数i.和ij和。若有必要，求两总体0.95双侧置信区间。解：H0：施氮肥与不施氮肥对玉米蛋白质含量无显著差异；HO1：施氮肥或不施氮肥时各小区玉米蛋白质含量无显著差异；Sas代码：datacorn;don=1to2;dogroup=1to3;doi=1to2;inputx;output;end;end;end;cards;399111012862464;procanova;classngroup;modelx=ngroup(n);meansngroup;meansngroup(n)/lsdcldiff;run;程序输出结果：SourceDFSu

14、mofSquaresMeanSquareFVaiuePrFMode1592.00000001S.4COOOOO3.940.0625Error620.00000004.6666667CorrectedTota111120.0000000R-SquareCoeffVarRootUSExMean0.76666730.S60672.16C2477.000000SourceDFftnovaSSMeanSquareFVaiuePrFn140.0000000048.0000000010.290.0184group(n)444.000000001I.OOCOOOOO2.360.1666LeveIotgroupLeve1otMMeanStdDev1126.00000004.2426406921210.00000001.4142135631211.00000001.414213561227.00000001.414213562223.00000001.414213563225.00000001.41421356Comparisonssignificantatthe0.051evelareindicatedby出*.differencenBetween95宣CorfidenceComparisonMean