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统计与品管BasicStatistics&UseofMinitab英文

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    • 1、BasicStatistics UseofMinitab BeltonGroupRexWong 2 Statistics Statisticsisthebranchofsciencethatdealswiththecollection presentation analysis interpretationofdataforthepurposeofdecision makingandproblem solving Statisticsisacriticalskillinqualityimprovementasstatisticaltechniquescanbeusedtodescribeandtounderstandvariability 3 Variability Variabilityistheresultofchangesintheconditionsunderwhichobservationsaremade Variabilitycancomeaboutduetochangesinmaterialqualitymachinesettingsorconditionsmanpowe

      2、rstandardsmethodsofprocessingmeasurementmilieu environment 4 Population Sample PopulationtheentiresetofmeasurementsofinterestSampleasubsetofdatafromthepopulationParametersnumericalmeasuresofapopulationStatisticsnumericalmeasuresofasample 5 ParametervsStatistic ParameterStatisticMeanVarianceStandardDeviation 6 Typeofdata Gappiness Whethertherearegapsbetweensuccessivelyobservedvaluesofavariable DiscreteVariablegapsexistbetweenobservationsobtainedbycountingContinuousVariablenogapsexistbetweenobserv

      3、ationsobtainedbymeasuring 7 Statistics Objectives Statisticsisthebranchofsciencethatdealswiththecollection presentation analysis interpretationofdataforthepurposeofdecision makingandproblem solving ObjectivesofStatistics datareduction DescriptiveStatisticsinferentialmeasurement InferentialStatisticsidentificationofrelationships Regression ANOVA 8 Statistics Overview 9 Descriptive InferentialStatistics DescriptiveStatisticscomprisesthosemethodsconcernedwithcollectinganddescribingasetofdatasoastoy

      4、ieldmeaninginformationInferentialStatisticscomprisesthosemethodsconcernedwiththeanalysisofasubsetofdataleadingtopredictionsorinferencesabouttheentiresetofdata 10 DescriptiveStatistics Overview 11 NumericalMeasures Describesthecharacteristicsofthedataset Keynumericalmeasures measuresoflocation centraltendency measuresofdispersion variation measuresofshape distribution 12 MeasureofLocation Mean willnotbediscussed Median willnotbediscussed Mode willnotbediscussed Quartiles 13 Quartiles Whenanordere

      5、dsetofdataisdividedintofourequalparts thedivisionpointsarecalledquartiles ThefirstorlowerquartileQ1isavaluethathasapproximately25 oftheobservationsbelowinvalue ThesecondquartileQ2isavaluethathasapproximately50 oftheobservationsbelowinvalue Itisalsocalledthemedian ThethirdorupperquartileQ3isavaluethathasapproximately75 oftheobservationsbelowinvalue 14 Quartiles Twentyorderedobservationsonthetimestofailure inhours ofelectricalinsulationmaterialareshownbelow 2042282523003244446247208169121176129613

      6、921488151225202856319235283710 15 MeasureofDispersion Range Willnotbediscussed Variance Willnotbediscussed StandardDeviation Willnotbediscussed Inter QuartileRange 16 Inter quartilerange Theinter quartilerangeisanothermeasureofdispersion IQR Q3 Q1Theinter quartilerangeislesssensitivetoextremevaluesinasamplethantherange Forthetwosamples 1 3 5 8 9and1 5 5 5 9 theirinter quartilerangesare5and0respectively 17 MeasureofShape Skewness SkewnessThedegreeofassymmetryofadistributionarounditsmeanisreferred

      7、toasitsskewness 18 MeasureofShape Kurtosis KurtosisKurtosischaracterizestherelativepeakednessorflatnessofadistributioncomparedtoanormal mesokurtic distribution 19 MiniTab sDescriptiveStatistics Stat BasicStatistics DisplayDescriptiveStatisticsproducesstatisticsforeachcolumnofdata orsubsetswithinacolumn anddisplaysthemintheSessionWindowandoptionallyinagraphtheuserhasnocontroloverwhichstatisticsarecomputed displayedStat BasicStatistics StoreDescriptiveStatisticsdescriptivestatisticsforeachcolumn o

      8、rsubsetswithinacolumn aredisplayedinadjacentcolumnswithintheWorksheettheusercanselectwhichstatisticsaretobecomputed displayed buthasnocontrolovertheorderinwhichtheyaredisplayedInstructorwillshowyouthemethodofusingMinitab 20 GraphicalPresentation Visualinterpretationthethedataset Commongraphicaltoolstoillustrateadataset DotPlotBoxPlotHistogramStem LeafDiagram 21 DotPlot Thedotplotisusefulfordisplayingasmallbodyofdata Thelocationorcentraltendencyinthedatasetanditsspreadordispersionareeasilyidentif

      9、ied Itcanalsobeusedincomparingtwoormoredatasets 22 DotPlot ThepullstrengthofbondingwiresfromtwosuppliersareshownbelowA 16 8516 4017 2116 3516 5217 0416 9617 1516 5916 57B 17 5017 6318 2518 0017 8617 7518 2217 9017 9618 15TheDotPlotrevealsthatwiresfromsupplierAseemstoresultinlowerpullstrength butthevariabilitywithinbothgroupsisaboutthesame 23 Box WhiskersPlot BoxPlot The box displaysthelowerquartile Q1 themedian Q2 theupperquartile Q3 The whiskers extendtotheminimumthemaximumNottobeusedwhensample

      10、sizeislessthan10units Median Maximum Minimum Q 1 Q 3 24 ProcedureformakingBoxPlot 1 Arrangethedatasetinascendingorder 2 Determinetheminimumandmaximum thelowerandupperquartiles themedian andTukey soutliers 3 Drawaboxthatextendsfromthelowerquartiletotheupperquartile themedianisalinedrawnthroughthebox 4 Drawlines orwhiskers thatextendfromtheendsoftheboxa fromQ1toMax Minimum Q1 1 5IQR b fromQ3toMin Maximum Q3 1 5IQR 5 Outliersarerepresentedbyappropriatesymbols 25 Histogram Thehistogram agraphicalpre

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