Very Brief Guide to Minitab (Version 14)

VeryBriefGuidetoMinitabpage1of21VeryBriefGuidetoMinitab(Version14)GustavoCepparo,lastupdatedJanuary22,[e-mail]ets,IrecommendthatyoulocatethefolderwhichhasthedatasetsasText(ASCII)files.Findthedatasetyouwant,andthendownloadandopenwithNotepadoranyword-processingprogram.Next,left-clickwiththemouse,andhighlightthedata.ClickEditCopy,openMinitab,putyourcursoratthetopoftheworksheet,andclickEditPaste.(Thissamemethodworksondatafromothersourcesaswellasourtextbookdatasets,anditalsoisthefirststepinputtingdataintotheworksheetforthestatisticsprogramCrunchIt.)Practicewiththedatabelow(ifyouarereadingthisdocumentonacomputer)byleft-clickingfromChol/Urbanto205,andpastingtoMinitabunderC1(Columnone).Becareful:thenameChol/Urbanmustbeonthegraybox(underC1)andNOTinRow1!Ifyoumakeamistakeaboutwheretoputthelabels,don’ttrytoeraseit.Simplyinsertanewworksheetandstartover.Chapter1(PicturingDistributionswithGraphs)HistogramCholesterolLevelamongurbanGuatemalansChol/Urban155134227228236241222252273205ClickGraphHistogramSimple,thenclickOK.TypeC1(underGraphVariables),thenclickOK.VeryBriefGuidetoMinitabpage2of21Chol/UrbanFrequency2802602402202001801601403.02.52.01.51.00.50.0HistogramofChol/UrbanStemplotCholesterolLevelamongurbanGuatemalansChol/Urban155134227228236241222252273205ClickGraphStem-and-Leaf.TypeC1(underGraphVariables),thenclickOK.Stem-and-leafofChol/UrbanN=10LeafUnit=101132152121320(4)222233245127VeryBriefGuidetoMinitabpage3of21Time-plotMedianSalaryofFull-TimeProfessorsatFortRileyCommunityCollegesince2000Salary39000414004320044900471004800048300ClickGraphTimeSeriesPlotSimple,thenclickOK.TypeC1(underGraphVariables),thenclickOK.IndexSalary76543214800046000440004200040000TimeSeriesPlotofSalaryNote:Forothergraphsandmoreoptionsforchangingthelookofthesegraphs,refertoMinitabManual,byBetsyGreenberg.VeryBriefGuidetoMinitabpage4of21Chapter2(DescribingDistributionswithNumbers)NumericalSummariesCholesterollevelsamongUrbanandRuralGuatemalans.UrbanRural155108134114227155228131236220241156222154252171273205ClickStatBasicStatisticsDisplayDecriptiveStatistics.Next,underVariables,typeC1C2,andclickOK.DescriptiveStatistics:Urban,RuralVariableNN*MeanSEMeanStDevMinimumQ1MedianQ3MaximumUrban100217.313.542.7134.0192.5227.5243.8273.0Rural80151.112.635.5108.0118.3154.5167.3220.0Note:Forworkingwithstackeddata,meaningdatawheretherearetwodifferentsetsofobservationsinthesamecolumn,seetheMinitabManual.VeryBriefGuidetoMinitabpage5of21BoxplotCholesterollevelsamongUrbanandRuralGuatemalans.UrbanRural155108134114227155228131236220241156222154252171273205ClickGraphBoxplot.Next,youwanttochoosethebottomleftchoice“MultipleY’sSimple”,thenclickOK.Toconclude,underGraphVariables,typeC1C2.ClickOK.DataRuralUrban280260240220200180160140120100BoxplotofUrban,RuralNote:Forworkingwithstackeddata,meaningdatawheretherearetwodifferentsetsofobservationsinthesamecolumn,seetheMinitabManual.Chapter3.StudentsarenotrequiredtolearntousesoftwarefortheproblemsinChapter3.TheMinitabManualdoesexplainhowtouseCalcProbabilityDistributionsNormaltofindvaluesthat,byhand,canbefoundintheNormalTable.Use“cumulativeprobability”and“inversecumulativeprobability.”VeryBriefGuidetoMinitabpage6of21Chapter4ScatterplotKneeHeight57.7192.147.4153.343.5146.444.8162.655.2169.9ClickGraphScatterplotSimple,thenclickOK.UnderYvariables,typeC2.UnderXvariables,typeC1.KneeHeight57.555.052.550.047.545.0190180170160150140ScatterplotofHeightvsKneeCorrelationKneeHeight57.7192.147.4153.343.5146.444.8162.655.2169.9ClickStatBasicStatisticsCorrelation.UnderVariables,typeC1C2,andclickOK.PearsoncorrelationofKneeandHeight=0.885P-Value=0.046Note:Fordiscussionofvariousoptionsforscatterplots,seetheMinitabManual.VeryBriefGuidetoMinitabpage7of21Chapter5(Regression)KneeHeight57.7192.147.4153.343.5146.444.8162.655.2169.9ShortRegressionOutputClickStatRegressionFittedLinePlot.NexttoResponse,typeC2,andnexttoPredictor,typeC1.ThenclickOK.KneeHeight57.555.052.550.047.545.0190180170160150140S9.49150R-Sq78.3%R-Sq(adj)71.1%FittedLinePlotHeight=42.77+2.455KneeResidualPlotKneeHeight57.7192.147.4153.343.5146.444.8162.655.2169.9ClickStatRegressionFittedLinePlot.NexttoResponse,typeC2.NexttoPredictor,typeC1.Next,clickonGraphs…,underResidualsversusthevariables,typeC1.ThenclickOK,thenOK.Seenextpageforresidualplot.→VeryBriefGuidetoMinitabpage8of21KneeResidual57.555.052.550.047.545.01050-5-10ResidualsVersusKnee(responseisHeight)Note:Foradditionaloptions,seetheMinitabManual.LongRegressionOutputKneeHeight57.7192.147.4153.343.5146.444.8162.655.2169.9ClickStatRegressionRegression.NexttoResponse,typeHeightandnexttoPredictors,typeKnee.Next,let’scomputeapointpredictionbygoingtoOptions.UnderPredictionintervalsfromnewobservations,type55.ThenclickOK,thenOK.TheregressionequationisHeight=42.8+2.46KneePredictorCoefSECoefTPConstant42.7737.321.150.335Knee2.45550.74583.290.046S=9.49150R-Sq=78.3%R-Sq(adj)=71.1%AnalysisofVarianceSourceDFSSMSFPRegression1976.67976.6710.840.046ResidualError3270.2790