试验设计与数据处理(第二版)课后习题答案

1、&35试验设计与数据处理课后习忌第二宣习题答褰A0.04150.03550.03360.03120.03020.0289Re1750025500297003760042400509000.027761800关系曲线入2-21234Mx二1/Ax二20mm88.28.3&My=l/Ay=5nunx与y的关系图发酵时间/d012345PH值5.45.8残糖量八g/l)24.513.38.1发m与ph值及残糖量的关系图十残糖量+PE值2.4树脂型号DA-201NKA-9AB-8D-4006D-101S-8NKA-II吸附量/(d17.1417.771.871

2、3.710.5513.333.672.5525-OcdaVV1LMMHLMMHTJM*V71觀生子麻籽穴花棉菌莫两个产总几种桓物泊的凝固点数据图口甲口乙6LO4COCMyovyH-0乙p/v-srQu一-4LO_2.6应月领域橡胶工业合成表而活性齐润滑油併肥皂及洗金属皂其他比例刑净稠（JW口肥皂及洗涤剂金属皂口其他3.1第三章习题答案3.1色色黄色色色颜椅粉绿无26.528.731.22&330.827.929.627.925.12&524.226.5销售额/万元30.829.632.431.732.8方差分析：单反素方差分析SUMMARY组观

3、测数求和平均Ax*万差行15136.627.322.672行25147.829.562.143行35132.226.443.298行45157.331.461.658方差分析差异源SSdfMSFP-valueFcrit组间76.8455325.6151710.48620.0004663.238872组内39.084162.44275总计115.92951915399.979.983.13725397.679.525.50735372.774.544.52845335.567.114.485方差分析：无重复双因素分析SUMMARY观测数求和平均方差行行行行2.560.467.96&769.868

4、.7297.974.47596.7425307.376.82542.2625303.875.9527.896674304.376.07521.4625292.473.115.9方差分析差异源SSdfMSFP-valueFcrit行537.63753179.212528.614869.44E-063.490295列35.47348.868251.4159940.2874223.259167误差75.155126.262917总计648.265519铝材材质去离子水自来水12.3Ca.o11.85.321.55.321.54.831.87.432.37.49数测和均差观求平方5211oomuro7

5、9L24n/c5o2测和均差观求平方42814.52亠o55n/Loc78LTD49总计观测数66求和11.235.8平均1.8666666675.966667方差0.1306666671.298667方差分析差异源SSdfMSFP-valueFcrit样本4.37166666722.18583331.226190.0006735.143253列50.43150.43720.42861.77E-075.987378交互2.35521.177516.821430.0034675.143253内部0.4260.07总计57.5766666711994.199c/%(x)T/C(y)19.6105.

6、420.510622.3107.225.1108.926.3109.6ooLO9OJcoL-CMz1A、ziXCOGJvzsVIOorMg0 x1A9b；-4LOcog5GJGIqu-J一G4(404斗口哄土6COon9LCD9oncojnificance10105.941.85E-09COco卜一CMOxJooooCM一L-OCO寸VOxiCOL-9LOOO11亠rOJ6LTDQOv1rw9左96导LOGdGXJ1V8CxiZZLTDGdOJCOVOJw148COV8eobOxlFSS32.7380932.738096g9gC-cSIOT1eo6IOzSUMMARYOUTPUT0.99975

7、2712“4PTHLOGJQQVGJooGJrd6GJirwMultipleWW4x回7t4.2273202.4361631.30103SUMMARYOUTPUT283252.4517861.39794293312.4668681.491362回归统计313342.4955441.531479Multiple0.987715333462.5224441.662758RScuare0.97558353582.5477751.763428Adjusted0.969475In?Inc矣物质的溶解度与绝对温度z间的关系标准误差0.029578观测值610010100系列1PZ)1000方差分析df回归

8、分析1残差4总计5CoefficiemInrercepi-8.1419XVariab3887206T/KSUMMARYOlfTPUT回归统计Multiple0.987714594RSquare0.97558012Adiusted0.969475149标就差0.029578225观测值03887206齊淋兰eB.nc齊逆決潜這7Ktt、恳盼娜、(mg/、L)y130181537_76cn4oooo2hcoro4626348039579031257siOUTPUT51回s潼r?沛卅_71448.292482.764164.183660.003211SSMSF?nificance回Coefficie

9、nbs葡聶沛漱宀statPIV巴ueLower95海UDDe9尖Intercept丄2-61111111535291823559300997672964654424264XVarias01750.066911261539601150037940387942XVariab一13.712962961.5612688783223000310987443121868161XVariab一L287037037053714723960600962150422412996479X2二xlx2888oooooo222666222ooo111111222666550000005555533366OOCO8OOQ

10、O8999996600000000000000000da-JL亠1AJL亠1Av亠亠1Av亠41Av亠1Xx3x2o优选过程：1、首先在试验范围0618处做第一个实验，这一点书温度为：xl二340+（2、在这点的对椒点，即0.382处做一个实验，这一点知温度为：xl=42（3、比较两次的实验结果，发现第一点比第二点书合成率高，故舍去37（4、比较两次的实验结果，发现第一点比第三点书合成率高，故舍去3&5、比较两次的实验结果，发现第一点比第四点书合成率高，故舍去401电解质泡65电解窓94.3748098.981.52002000060y=-0.227x*2+32.12x-1032.402002

11、00020406080100电解质温度xl二20+(80-20)*0.618二57.08(ml)在这一点的对椒点，即0382处做算二个实验,这一点书碱液幷量为x2=80-(80-20)*0.618=42.92(ml)比较落次试验结果，算二点较算一点好，则去掉57.08以上书部分，然后在20皿1与57.08nx3=57.08-(57.08-20)*0.618=34.165(ml)比较第二点与第三点，第二点较好，则去掉34.165以下的部分，然后在34.165ml与57伍x4=34.165+(57.08-34.165)*0.618=48.326(ml)比较第二点与第四点，算四点较好，则去掉42.2

12、9以下书部分，然后在4229ml与57.08mlx5=42.29+(57.08-42.29)*0.618=51.43(ml)由于x5属于50皿1到55ml之间,则为最佳点5.5对开法在直角坐标系中画出一矩形代表优选范围:20 x100;30y160.在中线x二(20+100)/2$)上用单区素法找到最大值，设最大值在P風再在中线尸(30+160)/2啾)上用单区素法找到最大值，设最大值在Q点：比较P和Q的结杲，如果Q大，去Wx60部分，否则去掉另一竺，再用同样的方法来处理余不断地去其一半，逐步得到所需要的结果C5.6解：由于实验范围在3到8桶之码中间正好有5格，则第一次实验启在3/5妲即6桶处

13、，第二次实验点在3/5的对憨点2/5处，即5桶处。比较两个实验点的结果，第一点处较好，则去掉5桶以下的部分，实验范围在5到8桶之间，中间正好有3榕，第三次试验点选在2*即7桶处：比较第一点与隽三点的结果，隽一点较好。则最佳点是第一启，即6桶：第六童习题答褰水平(A)溶剂浓度、；(B)反应谎梁温时间/h1601403280160231001801L9(34试验号ABCy111115.3212225K30000k10000k20000k30000极差R0000因素主TABC优方案A2B2C2TOC o 1-5 h z追势图工16008001000140016001800000OOOOOOL0CO9

14、X)OV9X)溶剂浓刚%I艮厉温度/r保温时间/h555454#虻6.2水平(A)反应温度/(B;CI2+占亂込04溶蔽诙度/(g/ml)7001:00.00.1258001:00.50.59001:00.519(34)试验号ABC转换率1111140.262122240.463133361.794212360.155223173.97k30000极差R0000因素主次ABC优方案A3B3C1K10000K20000K30000k10000嗣粉松密頂k20000k30000极差R0000因素主一次BCA优方案B2C2A1最终优方案A3B2C26.3L9(34试验号ABC包合率包合物收?1111

15、112.0161.82122215.8684.313133316.9580.15421238.667.235223113.7177.26623127.2276.53731326.545&61832137.7878.12933215.4377.6K10000K20000K30000kl0000k20000k30000极差R0000因素主TABC优方案A1B2C36.458221211KI000000K2000000kl000000k2000000极差R000000因素主虫A*BCABD因素A*B水平搭氐表AlA2Bl69.571.5B27264.56.5空列得分yiL3X2试验号A5555059

16、0221222o1125219CQu85190CM11K059C4K2k2k3211311422522622723823923Kl88K2149Kokl29.33333333k224.833333339.Ku极差R-4.5因素主DABC优方案D3A3B1C22223233320123222313431221132162131932137747610785916978706102Ei.3333335.666673333330.3333323262E1.3333320.3333328.37.015.3（2?）试验号A123456n8KIK2klk2极差R因素主出1111222200000AXBAX

17、C1212121200000BXC12122121000001221122100000AAXCBDAXBBXCC或AAXCBDBXCAX因素AXC水平搭配表AlA2.92323233232323toOO4OO9232323323232392323233232323COOOOOcoOOOOOOOOOOrororororororororo9232323323232392323233232323OOOOcoC-cocoOOXB二(AXB2C(Axe二BABCACDBCEF误差e误差必FO.05(2,F0.05(4,-312-15.5#DIV/O!-312-15.5#DIV/O!-624-15.5#D

18、IV/O!-312-15.5#DIV/O!-624-15.5#DIV/O!-312-15.5閒IV/0!*-624-15.5閒IV/0!*-312-15.5#DIV/O!*-312-15.5切IV/0!21675932105.1851856350.86425.14F0.01(2,10.524.53F0.01(4,9.15BlB2B3Cl86C2908891.3333388.6666666788.66667C390.6666786.6666666788.66667试验号A1D1E1B3C1123411125678922333KI0K20K30极差R01233122310

19、0005.32.4c误差e误差必FO.05(2,012.3155555612.31555556192026.15777826.15777806.1L8X2试验号ABCD空列得分yi111111195212222205321122220422211225531212210632121215n41221185842112190KI00000K200000K3425K4375极差R425.00.00.00.00.0SS-177628.125-0.175-0.175-0.175-0.175SST=总和T1645P二T%338253.125方差分析表差异源SSdf.

20、1SF显著性A-177628.1253-59209.4#DIV/O!*B-0.1751-0.175#DIV/O!*C-0.1751-0.175#DIV/O!D-0.1751-0.175#DIV/O!能e179100.5251179100.5矗必179100.175359700.06FO.05(1510.13FO.01(1,34.12FO.05(3,9.28FO.01(3,29.4662231221723132168232131992332137K1887476107K2149859169K3787061SS40.520.6666778402.6667SST=总和T237P=f/n6241方差分

21、桁表差异源sx2x3x4又x3x4对应的偏回归系数不显著，故归入残差项，重新进行回归分析如下:SUMMARYOUTPUT回归统计Multiple0.986424302RSquare0.973032904Adjusted0.964043872标和误差2.046677524观测值9方差分析dfSSMSF【nificanceF回归分析2906.8667453.4333108.24671.96E-05残差625.133334.188889总计8932Coefficients标准误差tStatPralueLower95殳Upper959Intercepi20.393333332.5497367.9982

22、130.00020414.1543526.63231丙烯酸月11.720.1220414.093717.97E-061.4213782.018622引发剂用1-10333333333.051007-3.386860.014733-177989-2867794567891020222426283032514819118151662091012176610019654176361642646452390256621684005027010060384289SUMMARYOUTPUTMultiple0.997692974RSquare0.995391271Adiusted0.986173814标滔吴

23、差3.039793997观测值10凹归统计方差分析df析分归差计回残总SSMSF口ificanceF65987.179997.8632107.98980.001361327.721049.24034896014.9Coefficients标准误羌tStatP-va.lueLower95SUpper95殳Intercepi275.851306146.78305废弃塑料-9.1640495881.288022改性剂用1-21.903245943.378473增塑剂用1-21.14261092.603757混合剂用11.4028777920.191033xlx21.164586030.138149x

24、3x30.7275238170.0975815.8963940.009738126.9668424.7359-7.114820.005714-13.2631-5.06499-6.483180.007449-32.6551-11.1514-8.120040.003905-29.428942.85637.3436440.0052180.7949262.010838.4299190.0035030.7249341.6042387.455620.0049960.4169791.038069回归方程:尸275.851-9.164x1-21.903x2-21.143x3+1.403x4+1.16x1x2+0.73xc因素主次xlx2x3x4xlx2方算非営显菩，徧冋归系数祸非常显薯所以四个気養对试谕纭果若芮非営忌9Z261008ZW00-81022106E8S6S796陀000S2Z000zlzTOC o 1-5 h z9ZZ900*082210*0-6S6SZI*081ZS07-S6Z2000SZSOO*0-Sz9Z2910*082200*0-ZKKZ*0冊669*1S6Z700*0SZtOO*0以卩9ZZSM*0mizo*068Z900*0ZZH071S6Z2