三因素三水平正交设计

1、正交设计法研究清热去湿片醇沉过程中蒙花昔转移率的影响因素Minitab1.因子及水平的确定因素ABC加入速度（ml/min）搅拌时间（min）静置温度（C）水1201052502025丁310040402,交互作用确定除主效外，实验还将同时考察交互作用 ABAC3,正交表的选用主效应 A,B,C:(3-1)X3=6互作 ARAC(3-1)X(3-1)X2=8总合：n6+8+1=15选用：L27(313)4,表头设计的计算（）就计图形I 算群出 6 工具 3司口世）砰斯好娘上国于心响底曲面|因混料凶/10/3119控制图（Q 卜FI亲潺巨关可朝却生存血田口,J创建田口馁计“事立星也由卜四曲衷梢,

2、非木激叫，EDACEI 卜均式句样本片量回，鼻口怫改期fMk含曲泄if必 E目是如口设回国行折田口设计凶.|T：StB!田口结里但）“一国心喷不习匐口胭展*TULn哥本 isrt量CW回归出口设计C5C6C14C15C16C17C185.实验实施结束田口设计-交互在目出二I没计-叵到以下1曲先洋台邛助可用项因：所选项后:I1EABCKPCA:mlc:A:mlc:落助|情定仙|取消1ciC2C3C4ABCyr1111E3.9211263,2311367.3r412166.6r512269.9re12365,8(713163.9rs13269.0r9133弭9rio21170.0ii21_267.

3、9I3MlNI!Pg“亶I亘密工作表1*2C3C4CBC5CTC8C9CIOCllC12C13CiiCy163.926.21367.32166,6?AS.aDOE必卜硝图卜维工国Q)可完栏/生存UJ芍?崎,表伯卬非近装凶EDA卜耶31对样本散量1”，卜舄单因子(未堆蜃存放)(LJ,.E3双园子口.，指均值分析园亚平帝方雷分析句：座宾室而装方型充折出-就刊i笠元方整分桁出晶Tfi叁元方差分析.，/与芳些性骗lii1区间图区主效应图M同交互作用图力差分析他;G/=平皿I*回邯叫电后习园刃口州噩|港而-7 的耐E 二 0-h回侬| IIJll|kT.单国子;响应此：IF愎组m：TS 哇也嘤型ABcy

4、C1C2CABcyC1C2C3C43C47.方差分析结果自由度 SeqSSAdjSSAdjMSFPA215.22315.2237.6113.890.050B29.6399.6394.8192.460.127C26.7706.7703.3851.730.219来源A*B4 11.98111.9812.9951.530.256A*C24.23724.2376.0593.090.058误差1223.50723.5071.959合计2691.356SAS 程序团筝咯5”*_datainput abcy鲍cards 11 1 1 63.91 1 2 6&21 1 3 67.31 2 1 66.612 2

5、 69.91 2 3 65.81 3 1 63.91 3 2 69.01 3 3弭92 1170,09 i 9 R7QHsal4-313674332164.732265,932367.933164.7332674533365.7一procanova;clssabc;modely=abca*ba*crim：国输出-（无疝强）|i=l|EhSAS莪克239年肾月。汩星期一上午阙拈喇241Tbs则OfMProcedureDependentVariable：ySinofSturceIDFSquaresMeanSquareFValuePrFMedelM55.23333333上找6州白W2.240.0S4

6、1Error1521.1066G667L涮涮僧CorrectedTotal2E76.34000000:R-SquareCoeffYarRootN8E，Mean9J235IB1-14211.3ICJJI5B.933HSourceIDFAnova瑞MeanSquareFVfiiluePrFr326.00GGEGG?K5M打招31.42O.27S0b23.562ZZ2221.7SIIIIIII.010.3923c26.920000002.910000(10LC50.2320a.*b410.361111112.R斯普普8L4?0.27Hft*G430J9338333L髓招加334羽0.0218Desi

7、gnExpert 实现过程kLa枚釐ABCT-EFGHIJKLMN0PQ1TStdRun A：AC:CD:DE:E F:FG:GH:H J：J K:K L:L M:MN:N22111111221221222122320231131212132113211134631122213133111112212124121233123123122253121311132211332121631132131211312132115711222221231331112583132111113231212111318921312131121213112131310122J3112132131312111121

8、121312131213123113161221312111231312231114813113J33221211i333152414312113132111312211,316101521121311i23121311213179161133333132,221111871711，3313111113131322121919183113211321，32131220231913213121133,211322112011111111111111111122321111113331313333132315221223131121,23213124272331321113211211313225

9、1424212311231113121213262625133121121，313232127172621311212131112131311122842711222111,1222313132930ExpertdiDjmnsalyzed)cton) )nSelectStdRunFactor1A:AFactor2B:BFactor3C:EResponse1R151122639一一一一一一2323226824182413626312167342336665323699622165.8712363.98332692911268.931011370一一一一一一一一171123267971128271

10、0211213166713111659142136841513265.41633368.31721167.701831365.71519223643一一一一一920133634*1614251922202123164922222643233316392431167.42532164.72631264.6.ACtditViewDisplayOptionsDesignToolsHelpTipsUsewithatypicalresponseResponserangesfrom63.4to70.Rattoofmaxtommts1.1041Aratiogreaterthan10usuallyindica

11、tesatransformationisrequiredForratiosOGGthan3thpowertranoformohovoIttieffect.IlotesforDesignExperts0Design(Actual)亘SummaryGraphColumns区EvaluationAnalysis.的R1:R1Optimizatbn注Numerical ftGraphical玄PointPrediction之Confir-natony入Transform忆Effects色ANOVAqDiagnostics|*GraphsTransformationEquatonHoneSquareRo

12、otNaturalLogBase10LoginverseSqrtinversePowerLg*ArcSmSqrtCodingforAnalyse：|CoddTbanalyzethisresponse,cickontheaboveiconsinsuccessionxpertdy卜TranslotmEjectsAANOVA日DiagnosticsIModeiGrainsIII1msUseyourmousetorightcickonndwidualcelbfordefritions”ed)ionResponse1RIANOVAforselectedfactorialmodelAnalysisofva

13、riancetableClassicalsumofsquares-TypeIISumofMeanFp-valueSourceSquaresdfSquareValueProbFModel48861434907506974mxsigniantA-A3.3021.S50.360.70768-B707235407604873U2.1521.0702307968AB25274632f3603041AC11074277OSO06719ResduoiS5.6612464CorTotal1045226鬲TheModelF-valueof0.75impiesthemodel0nNsignificantretot

14、etothenoeThereisa69.74%chancethataModelF-valuewthelargecouldoccurduetonoseJ ValuesofTrobFlessthan00500indicatemodeltermsaresignificanththecasetherearenosignificantmodeltermsValuesgreaterthan01000indicatethemodeltermsarenotsignificantIftherearemanyinsignificantmodelterms(notcountingthoserequredtosupporthierarchy),modelreductionmayimproveyourmodel场signExpertd(Actual)mary由ColumnsudtionyXTrsformEjects包ANOVA工DrostesFI5AIntercept1(Analyzed)mA-A23.30ibonM27.07encalm22.15m42S27制calm41107Predi