




已閱讀5頁,還剩128頁未讀, 繼續(xù)免費閱讀
版權(quán)說明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請進行舉報或認(rèn)領(lǐng)
文檔簡介
INTRODUCTIONTOMINITABVERSION13 WorksheetConventionsandMenuStructuresMinitabInteroperabilityGraphicCapabilitiesParetoHistogramBoxPlotScatterPlotStatisticalCapabilitiesCapabilityAnalysisHypothesisTestContingencyTablesANOVADesignofExperiments DOE MinitabTrainingAgenda WorksheetFormatandStructure SessionWindow WorksheetDataWindow MenuBar ToolBar TextColumnC1 T Designatedby T NumericColumnC3 NoAdditionalDesignation DataWindowColumnConventions DateColumnC2 D Designatedby D ColumnNames Type Date Count Amount DataEntryArrow OtherDataWindowConventions MenuBar MenuConventions HotKeyAvailable Ctrl S SubmenuAvailable attheendofselection MenuBar FileMenu KeyFunctionsWorksheetFileManagementSavePrintDataImport MenuBar EditMenu KeyFunctionsWorksheetFileEditsSelectDeleteCopyPasteDynamicLinks MenuBar ManipMenu KeyFunctionsDataManipulationSubset SplitSortRankRowDataManipulationColumnDataManipulation MenuBar CalcMenu KeyFunctionsCalculationCapabilitiesColumnCalculationsColumn RowStatisticsDataStandardizationDataExtractionDataGeneration MenuBar StatMenu KeyFunctionsAdvancedStatisticalToolsandGraphsHypothesisTestsRegressionDesignofExperimentsControlChartsReliabilityTesting MenuBar GraphMenu KeyFunctionsDataPlottingCapabilitiesScatterPlotTrendPlotBoxPlotContour 3DplottingDotPlotsProbabilityPlotsStem LeafPlots MenuBar DataWindowEditorMenu KeyFunctionsAdvancedEditandDisplayOptionsDataBrushingColumnSettingsColumnInsertion MovesCellInsertionWorksheetSettings Note TheEditorSelectionisContextSensitive Menuselectionswillvaryfor DataWindowGraphSessionWindowDependingonwhichisselected MenuBar SessionWindowEditorMenu KeyFunctionsAdvancedEditandDisplayOptionsFontConnectivitySettings MenuBar GraphWindowEditorMenu KeyFunctionsAdvancedEditandDisplayOptionsBrushingGraphManipulationColorsOrientationFont MenuBar WindowMenu KeyFunctionsAdvancedWindowDisplayOptionsWindowManagement DisplayToolbarManipulation Display MenuBar HelpMenu KeyFunctionsHelpandTutorialsSubjectSearchesStatguideMultipleTutorialsMinitabontheWeb MINITABINTEROPERABILITY MinitabInteroperability Excel Minitab PowerPoint StartingwithExcel Loadfile Sample1 inExcel StartingwithExcel ThedataisnowloadedintoExcel StartingwithExcel HighlightandCopytheData MovetoMinitab OpenMinitabandselectthecolumnyouwanttopastethedatainto MovetoMinitab SelectPastefromthemenuandthedatawillbeinsertedintotheMinitabWorksheet UseMinitabtodotheAnalysis LetssaythatwewouldliketotestcorrelationbetweenthePredictedWorkloadandtheactualworkload SelectStat Regression FittedLinePlot UseMinitabtodotheAnalysis Minitabisnowaskingforustoidentifythecolumnswiththeappropriatedate Clickintheboxfor Response Y Notethatouroptionsnowappearinthisbox Select ActualWorkload andhittheselectbutton Thiswillenterthe ActualWorkload dataintheResponse Y datafield UseMinitabtodotheAnalysis NowclickinthePredictor X box Thenclickon PredictedWorkload andhittheselectbutton Thiswillfillinthe Predictor X datafield Bothdatafieldsshouldnowbefilled SelectOK UseMinitabtodotheAnalysis Minitabnowdoestheanalysisandpresentstheresults NotethatinthiscasethereisagraphandananalysissummaryintheSessionWindow Let ssaywewanttousebothinourPowerPointpresentation TransferringtheAnalysis Let stakecareofthegraphfirst GotoEdit CopyGraph TransferringtheAnalysis OpenPowerPointandselectablankslide GotoEdit PasteSpecial TransferringtheAnalysis Select Picture EnhancedMetafile Thiswillgiveyouthebestgraphicswiththeleastamountoftrouble TransferringtheAnalysis OurMinitabgraphisnowpastedintothepowerpointpresentation Wecannowsizeandpositionitaccordingly TransferringtheAnalysis NowwecancopytheanalysisfromtheSessionwindow Highlightthetextyouwanttocopy SelectEdit Copy TransferringtheAnalysis Nowgobacktoyourpowerpointpresentation SelectEdit Paste TransferringtheAnalysis Wellwegotourdata butitisabitlarge Reducethefontto12andweshouldbeok Presentingtheresults Nowallweneedtodoistunethepresentation Herewepositionthegraphandsummaryandputintheappropriatetakeaway Thenwearereadytopresent GraphicCapabilities ParetoChart Let sgenerateaParetoChartfromasetofdata GotoFile OpenProject LoadthefilePareto mpj Nowlet sgeneratetheParetoChart ParetoChart Goto Stat QualityTools ParetoChart ParetoChart Filloutthescreenasfollows OurdataisalreadysummarizedsowewillusetheChartDefectstable Labelsin Category Frequenciesin Quantity AddtitleandhitOK ParetoChart MinitabnowcompletesourparetoforusreadytobecopiedandpastedintoyourPowerPointpresentation Histogram Let sgenerateaHistogramfromasetofdata GotoFile OpenProject Loadthefile2 Correlation mpj Nowlet sgeneratetheHistogramoftheGPAresults Histogram Goto Graph Histogram Histogram Filloutthescreenasfollows SelectGPAforourXvalueGraphVariableHitOK Histogram MinitabnowcompletesourhistogramforusreadytobecopiedandpastedintoyourPowerPointpresentation Thisdatadoesnotlooklikeitisverynormal Let suseMinitabtotestthisdistributionfornormality Histogram Goto Stat BasicStatistics DisplayDescriptiveStatistics Histogram Filloutthescreenasfollows SelectGPAforourVariable SelectGraphs Histogram SelectGraphicalSummary SelectOK SelectOKagainonthenextscreen Histogram NotethatnowwenotonlyhaveourHistogrambutanumberofotherdescriptivestatisticsaswell Thisisagreatsummaryslide Asforthenormalityquestion notethatourPvalueof 038rejectsthenullhypothesis P 05 So weconcludewith95 confidencethatthedataisnotnormal Histogram Let slookatanother Histogram toolwecanusetoevaluateandpresentdata GotoFile OpenProject Loadthefileoverfill mpj Histogram Goto Graph MarginalPlot Histogram Filloutthescreenasfollows Selectfiller1fortheYVariable SelectheadfortheXVariableSelectOK Histogram NotethatnowwenotonlyhaveourHistogrambutadotplotofeachheaddataaswell Notethatheadnumber6seemstobethesourceofthehighreadings ThistypeofHistogramiscalleda MarginalPlot Boxplot Let slookatthesamedatausingaBoxplot Boxplot Goto Stat BasicStatistics DisplayDescriptiveStatistics Boxplot Filloutthescreenasfollows Select filler1 forourVariable SelectGraphs Boxplot SelectBoxplotofdata SelectOK SelectOKagainonthenextscreen Boxplot WenowhaveourBoxplotofthedata Boxplot ThereisanotherwaywecanuseBoxplotstoviewthedata Goto Graph Boxplot Boxplot Filloutthescreenasfollows Select filler1 forourYVariable Select head forourXVariable SelectOK Boxplot Notethatnowwenowhaveaboxplotbrokenoutbyeachofthevariousheads Notethatheadnumber6againseemstobethesourceofthehighreadings Scatterplot Let slookatdatausingaScatterplot GotoFile OpenProject Loadthefile2 Correlation mpj Nowlet sgeneratetheScatterplotoftheGPAresultsagainstourMathandVerbalscores Scatterplot Goto Graph Plot ScatterPlot Filloutthescreenasfollows SelectGPAforourYVariable SelectMathandVerbalforourXVariables SelectOKwhendone Scatterplot WenowhavetwoScatterplotsofthedatastackedontopofeachother Wecandisplaythisbetterbytilingthegraphs Scatterplot Todothis GotoWindow Tile Scatterplot NowwecanseebothScatterplotsofthedata Scatterplot Thereisanotherwaywecangeneratethesescatterplots Goto Graph MatrixPlot ScatterPlot Filloutthescreenasfollows Clickinthe Graphvariables blockHighlightallthreeavailabledatasets Clickonthe Select button SelectOKwhendone Scatterplot WenowhaveaseriesofScatterplots eachonecorrespondingtoacombinationofthedatasetsavailable NotethatthereappearstobeastrongcorrelationbetweenVerbalandbothMathandGPAdata MinitabStatisticalTools PROCESSCAPABILITYANALYSIS Let sdoaprocesscapabilitystudy OpenMinitabandloadthefileCapability mpj SETTINGUPTHETEST GotoStat QualityTools CapabilityAnalysis Weibull Select Torque foroursingledatacolumn Enteralowerspecof10andanupperspecof30 Thenselect OK SETTINGUPTHETEST Notethatthedatadoesnotfitthenormalcurveverywell NotethattheLongTermcapability Ppk is0 43 ThisequatestoaZvalueof3 0 43 1 29standarddeviationsorsigmavalues ThisequatestoanexpecteddefectratePPMof147 055 INTERPRETINGTHEDATA HYPOTHESISTESTING Loadthefilenormality mpj SettingupthetestinMinitab CheckingtheDataforNormality It simportantthatwecheckfornormalityofdatasamples Let sseehowthisworks GotoSTAT BasicStatistics NormalityTest SetuptheTest Wewilltestthe Before columnofdata CheckAnderson DarlingClickOK AnalyzingtheResults SincethePvalueisgreaterthan 05wecanassumethe Before dataisnormalNowrepeatthetestforthe After Data thisislefttothestudentasalearningexercise Checkingforequalvariance Wenowwanttoseeifwehaveequalvariancesinoursamples Toperformthistest ourdatamustbe stacked ToaccomplishthisgotoManip Stack StackColumns Selectbothoftheavailablecolumns BeforeandAfter tostack Typeinthelocationwhereyouwantthestackeddata InthisexamplewewilluseC4 Typeinthelocationwhereyouwantthesubscriptsstored InthisexamplewewilluseC3 SelectOK Checkingforequalvariance Nowthatwehaveourdatastacked wearereadytotestforequalvariances GotoStat ANOVA TestforequalVariances Checkingforequalvariance Settingupthetest Ourresponsewillbetheactualreceiptperformanceforthetwoweekswearecomparing InthiscasewehadputthestackeddataincolumnC4 Ourfactorsisthelabelcolumnwecreatedwhenwestackedthedata C3 WesetourConfidenceLevelforthetest 95 Thenselect OK Here weseethe95 confidenceintervalsforthetwopopulations Sincetheyoverlap weknowthatwewillfailtorejectthenullhypothesis TheFtestresultsareshownhere WecanseefromtheP Valueof 263thatagainwewouldfailtorejectthenullhypothesis NotethattheFtestassumesnormality Notethatwegetagraphicalsummaryofbothsetsofdataaswellastherelevantstatistics Analyzingthedata Levene stestalsocomparesthevarianceofthetwosamplesandisrobusttononnormaldata Again theP Valueof 229indicatesthatwewouldfailtorejectthenullhypothesis Herewehaveboxplotrepresentationsofbothpopulations Letstestthedatawitha2SampletTest UnderStat BasicStatistics Weseeseveralofthehypothesistestswhichwediscussedinclass Inthisexamplewewillbeusinga2SampletTest GotoStat BasicStatistics 2Samplet Sincewealreadyhaveourdatastacked wewillloadC4foroursamplesandC3foroursubscripts Settingupthetest Sincewehavealreadytestedforequalvariances wecancheckoffthisbox NowselectGraphs Settingupthetest Weseethatwehavetwooptionsforourgraphicaloutput Forthissmallasample Boxplotswillnotbeofmuchvaluesoweselect Dotplotsofdata andhit OK HitOKagainonthenextscreen Inthesessionwindowwehaveeachpopulation sstatisticscalculatedforus NotethatherewehaveaPvalueof 922 Wethereforefindthatthedatadoesnotsupporttheconclusionthatthereisasignificantdifferencebetweenthemeansofthetwopopulations Interpretingtheresults Thedotplotshowshowclosethedatapointsinthetwopopulationsfalltoeachother Theclosevaluesofthetwopopulationmeans indicatedbytheredbar alsoshowslittlechancethatthishypothesiscouldberejectedbyalargersample Interpretingtheresults PairedComparisons Inpairedcomparisonswearetryingto pair observationsortreatments Anexamplewouldbetotestautomaticbloodpressurecuffsandanursemeasuringthebloodpressureonthesamepatientusingamanualinstrument Itcanalsobeusedinmeasurementsystemstudiestodetermineifoperatorsaregettingthesamemeanvalueacrossthesamesetofsamples Let slookatanexample 2 Hypothesis Testing Shoe wear mpj 2 Hypothesis Testing Shoe wear mpj Inthisexamplewearetryingtodetermineifshoematerial A wearrateisdifferentfromshoematerial B Ourdatahasbeencollectedusingtenboys whomwereaskedtowearoneshoemadefromeachmaterial Ho Material A wearrate Material B wearrateHa Material A wearrate Material B wearrate PairedComparison GotoStat BasicStatistics Pairedt PairedComparison Selectthesamples GotoGraphs PairedComparison SelecttheBoxplotforourgraphicaloutput ThenselectOK PairedComparison Weseehowthe95 confidenceintervalofthemeanrelatestothevaluewearetesting Inthiscase thevaluefallsoutsidethe95 confidenceintervalofthedatamean Thisgivesusconfirmationthattheshoematerialsaresignificantlydifferent CONTINGENCYTABLES CHISQUARE Enteringthedata Enterthedatainatableformat Forthisexample loadthefileContingencyTable mpj Let ssetupacontingencytable ContingencytablesarefoundunderStat Tables ChiSquareTest Selectthecolumnswhichcontainthetable Thenselect OK Settingupthetest Notethatyouwillhavethecriticalpopulationandteststatisticsdisplayedinthesessionwindow Minitabbuildsthetableforyou Notethatouroriginaldataispresentedanddirectlybelow Minitabcalculatestheexpectedvalues Here MinitabcalculatestheChiSquarestatisticforeachdatapointandtotalstheresult ThecalculatedChiSquarestatisticforthisproblemis30 846 PerformingtheAnalysis ANalysisOfVArianceANOVA Let ssetuptheanalysis LoadthefileAnovaexample mpj StackthedatainC4andplacethesubscriptsinC5 Setuptheanalysis SelectStat ANOVA Oneway SelectC4ResponsesC5FactorsThenselectGraphs Setuptheanalysis Chooseboxplotsofdata ThenOK Setuptheanalysis NotethatthePvalueislessthan 05thatmeansthatwerejectthenullhypothesis Analyzingtheresults Let sLookAtMainEffects ChooseStatANOVAMainEffectsPlot MainEffects SelectC4ResponseC5FactorsOK AnalyzingMainEffects Formulation1HasLowestFuelConsumption DESIGNOFEXPERIMENTS DOE FUNDAMENTALS FirstCreateanExperimentalDesign GotoStat DOE Factorial CreateFactorialDesign FirstCreateanExperimentalDesign Select2LevelFactorialdesignwith3factorsThengotoDisplayAvailableDesigns BowlingExample continued Wecannowseetheavailableexperimentaldesigns WewillbeusingtheFull Factorial for3factorsandwecanseethatitwillrequire8runs Now selectOKandgobacktothemainscreen OnceatthemainscreenselectDesigns BowlingExample continued Selectyourdesign WewillbeusingtheFull Factorial andagainwecanseethatitwillrequire8runs Now selectOKandgobacktothemainscreen OnceatthemainscreenselectFactors BowlingExample continued Fillinthenamesforyourfactors Thenfillintheactualconditionsforlow orhigh Now selectOKandgobacktothemainscreen OnceatthemainscreenselectOptions BowlingExample continued RemovetheoptiontoRandomizeRuns Now selectOKandgobacktothemainscreen OnceatthemainscreenselectOK BowlingExample continued Minitabhasnowdesignedourexperimentforus Now typeyourDatafromeachofyourexperimentaltreatmentsintoC8 Wearenowreadytoanalyzetheresults BowlingExample continued GotoStat DOE Factorial AnalyzeFactorialDesign BowlingExample continued HighlightyourDatacolumnanduseSelecttoplaceitintheResponsesbox Then selecttheTermsOption BowlingExample continued NotethatSelectedTermshasalloftheavailablechoicesalreadyselected Weneeddonothingfurther SelectOK Then atthemainscreenselectGraphs BowlingExample continued SelectyourEffectsPlotsandresetyourAlphato 05 SelectOKtoreturntothemainscreenandthenselectOKagain BowlingExample continued Notethatonlyoneeffecthasasignificancegreaterthan95 Alltheremainingfacto
溫馨提示
- 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁內(nèi)容里面會有圖紙預(yù)覽,若沒有圖紙預(yù)覽就沒有圖紙。
- 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
- 5. 人人文庫網(wǎng)僅提供信息存儲空間,僅對用戶上傳內(nèi)容的表現(xiàn)方式做保護處理,對用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對任何下載內(nèi)容負(fù)責(zé)。
- 6. 下載文件中如有侵權(quán)或不適當(dāng)內(nèi)容,請與我們聯(lián)系,我們立即糾正。
- 7. 本站不保證下載資源的準(zhǔn)確性、安全性和完整性, 同時也不承擔(dān)用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。
最新文檔
- Linux系統(tǒng)優(yōu)化策略-全面剖析
- 2024年中國工商銀行陜西西安支行春季校招筆試題帶答案
- 2024年中國工商銀行內(nèi)蒙鄂爾多斯支行春季校招筆試題帶答案
- 北京市豐臺區(qū)等5區(qū)2024屆高三下學(xué)期一模試題 英語 含解析
- 隱私保護分析模型研究-全面剖析
- 數(shù)字化工具在流動貨攤零售中的應(yīng)用研究-全面剖析
- 2025年空調(diào)洗衣機購銷合同
- 2025年安徽省人保面試:合同薪資問題深度解析
- 2025建筑材料供應(yīng)商采購合同模板
- 2025標(biāo)準(zhǔn)委托經(jīng)營管理合同模板:麗江古城版
- 社區(qū)創(chuàng)建消防安全示范社區(qū)方案樣本(4篇)
- 人教版-音樂-九年級下冊-《隱形的翅膀》教學(xué)課件
- 甲醇合成工段設(shè)計
- 動態(tài)心電監(jiān)測設(shè)備行業(yè)發(fā)展趨勢預(yù)測及戰(zhàn)略布局建議報告
- GB/T 19413-2024數(shù)據(jù)中心和通信機房用空氣調(diào)節(jié)機組
- 工業(yè)自動化設(shè)備維護保養(yǎng)操作手冊
- 與信仰對話 課件-2024年入團積極分子培訓(xùn)
- 2024年保安員業(yè)務(wù)知識考試復(fù)習(xí)題庫及答案(共1000題)
- 公路水泥混凝土路面施工技術(shù)規(guī)范(JTGF30-2024)
- 2024《整治形式主義為基層減負(fù)若干規(guī)定》全文課件
- 海關(guān)大數(shù)據(jù)云平臺項目規(guī)劃設(shè)計方案
評論
0/150
提交評論