Minitab basic operation manual

Minitab软件操作一一.制作图表Histogram直方图案例1.11.数据见下表2.打开Graph的Histogram3.出现一个对话框光标在Graph的X栏1中鼠标双击左边的C1TimetoFailure则TimetoFailure显示在Graph的X栏1中然后点击OK4.出现图表35003000250020001500100050006543210TimetoFailureFrequency5.制作报告可以将图表复制到word文档中二.使用图表摘要和正态测试评价分布性质一案例2.1数据TimetoFailure如下表a)点击StatBasicStatisticsDisplayDescriptiveStatisticsb)出现对话框选择C1TimetoFailure双击或点击下方Select填入Variables栏中c)然后点击Graphs键出现新的对话框选择Histogramofdata,withnormalcurve”栏点击OK键关闭此对话框d)再点击OK键关闭前一对话框出现图表及文本数据如下05001000150020002500300035000123456TimetoFailureFrequencyHistogramofTimetoFailure,withNormalCurveDescriptiveStatistics:TimetoFailureVariableNMeanMedianTrMeanStDevSEMeanTimeto20195519591966887198VariableMinimumMaximumQ1Q3Timeto175353813192690二案例2.21.打开工作表出现对话框按路径C:\ProgramFiles\Mtbdemo\Data文件类型为Minitab(*.mtw)打开Pulse文件2.再打开对话框如下3.输出图表和数据文本如下12811092745695%ConfidenceIntervalforMu84797495%ConfidenceIntervalforMedianVariable:Pulse274.00014.93076.460Maximum3rdQuartileMedian1stQuartileMinimumNKurtosisSkewnessVarianceStDevMeanP-Value:A-Squared:80.00019.99683.540140.00087.00076.00068.00050.000921.388651.12811292.19817.093880.00000.02.395%ConfidenceIntervalforMedia0080n95%ConfidenceIntervalforSigma95%ConfidenceIntervalforMuAnderson-DarlingNormalityTesDescriptiveStatisticstP值0.05拒绝H0假设H0假设组群是正态的Resultsfor:Pulse.MTWDescriptiveStatistics:Pulse2VariableNMeanMedianTrMeanStDevSEMeanPulse29280.0076.0078.8517.091.78VariableMinimumMaximumQ1Q3Pulse250.00140.0068.0087.00三案例2.31.工作表同案例2.1方法同案例二输出图表如下010002000300095%ConfidenceIntervalforMu15002000250095%ConfidenceIntervalforMedianVariable:TimetoFailA-Squared:P-Value:MeanStDevVarianceSkewnessKurtosisNMinimum1stQuartileMedian3rdQuartileMaximum1540.27674.241402.470.100.991955.20886.58786025-9.2E-02-4.9E-0120175.001318.751959.002689.503538.002370.131294.912544.19Anderson-DarlingNormalityTes95%ConfidenceIntervalforMu95%ConfidenceIntervalforSigma95%ConfidenceIntervalforMedianDescriptiveStatisticsP值0.05不能拒绝H0假设H0假设组群是正态的24t四案例2.41.工作表同案例2.1点击BasicStatisticsNormalityTest2.出现对话框3.点击OK输出图表如下Average:1955.2StDev:886.580N:20Anderson-DarlingNormalA-Squared:0.10P-Value:0.994ityTest20100020003000.001.01.05.20.50.80.95.99.999ProbabilityTimetoFailNormalProbabilityPlot五案例2.51.工作表同案例2.2方法如案例2.4输出图表如下Average:80StDev:17.0938N:92Anderson-DarlingNormalA-Squared:2.38P-Value:0.000ityTest05060708090100110120130140.001.01.05.20.50.80.95.99.999ProbabilityPulse2NormalProbabilityPlotP值0.05不能拒绝H0假设H0假设组群是正态的P值0.05拒绝H0假设H0假设组群是正态的六案例2.61.引出工作表Exh_aov.MTW点击StatBasicStatisticsDisplayDescriptiveStatistics出现对话框选择C1Durability入Variables栏中C2Carpet入Byvariable栏中并选择点图和箱图如下2.点击OKOK输出文本数据及图表如下Resultsfor:Exh_aov.MTWDescriptiveStatistics:DurabilitybyCarpetVariableCarpetNMeanMedianTrMeanStDevDurabili1414.4813.5214.483.16249.748.639.743.573412.80812.89512.8081.5064417.0118.6617.015.69VariableCarpetSEMeanMinimumMaximumQ1Q3Durabili11.5811.9418.9512.1117.8221.787.0314.667.0713.5130.75310.92014.52011.31714.21042.859.3021.4111.0021.361234101520CarpetDurabilityBoxplotsofDurabilitybyCarpet*使用Brush工具在图表上识别数据点1当Dotplot为当前页时先点击EditorView再点击EditorBrush或点击右键的Brush2会出现Brushing框指向Dotplot图中的一个点或若干点则Brushing框中会出现该点或这些点的行数3若要该点或这些点的其他详细信息可以再点击右键的SetIDVariables出现对话框选择Usecolumns栏并在空白框中填写所需要的详细信息的列号4此时再指向Dotplot图中的点则输出为三.使用柏拉图因果图时间序列图和运行图分析不良数据一案例3.1计数1.打开工作表Defects.MTW点击StatTablesTally打开对话框选择C3Describe填入Variables栏中并选择Display的Counts2.点击OK输出文本数据如下Resultsfor:Defects.MTWTallyforDiscreteVariables:DescribeDescribeCountConnector1Dent2Finish2O-Ring2PoorSeal1Scratch1Screw1N=10二案例3.2柏拉图1.打开工作表Exh_qc.MTW点击StatQualityToolsParetoChart出现对话框选择C17Flaws填入Chartdefectsdatain:栏中2.点击OK输出图表如下SmudgeOtherScratchPeel66131515.015.032.537.5100.085.070.037.5403020100100806040200DefectCountPercentCum%PercentCountParetoChartforFlaws三案例3.3因果图1.打开工作表Exh_qc.MTW点击StatQualityToolsCause-and-Effect出现对话框在左边框中选择相应项目填入右边的Causes栏中并填写需要的空白栏见下表2.点击OK输出图表SurfaceFlawShiftsSupervisorsTrainingOperatorsSocketsBitsLathesSpeedAlloysLubricantsSuppliersAngleEngagerBrakeMicrometersMicroscopesInspectorsMoisture%CondensationPersonnelMachinesMaterialsMethodsMeasurementsEnvironmentThisisanexample四案例3.4时间序列图1.打开工作表Falls.MTW点击GraphTimeSeriesPlot出现对话框在左边框中选择相应项目填入右边的Causes栏中并填写需要的空白栏见下表2.点击OK输出图表如下10001100120024681012FallsIndex五案例3.5运行图1.打开工作表Fastener.MTW点击StatQualityToolsRunChart出现对话框选择左边框内的C2Weights填入右边Singlecolumn栏中并选择5为分组的大小即在Subgroupsize栏中填写52.点击OK输出图表如下20151052.82.31.8SubgroupNumberWeights0.13300.86703.000013.000015.00000.01080.98923.000011.000016.0000ApproxP-ValueforOscillation:ApproxP-ValueforTrends:Longestrunupordown:Expectednumberofruns:Numberofrunsupordown:ApproxP-ValueforMixtures:ApproxP-ValueforClustering:Longestrunaboutmedian:Expectednumberofruns:Numberofrunsaboutmedian:RunChartforWeights四.案例4.1定制图表1.打开工作表Sales.MTW点击GraphChart打开对话框点击Function的下拉键选择Mean选择C2Sales填入右边的Y栏和C3Store填入X栏中点击Datadisplay中的Foreach的下拉键选择Group选择C1Qtr填入Groupvariables栏中2.点击OKOK输出图表1234BostonDenverSeattle3040506070StoreMeanofSales