心理統(tǒng)計學(xué)英文版課件L2 Frequency Distributions and Probability_第1頁
心理統(tǒng)計學(xué)英文版課件L2 Frequency Distributions and Probability_第2頁
心理統(tǒng)計學(xué)英文版課件L2 Frequency Distributions and Probability_第3頁
心理統(tǒng)計學(xué)英文版課件L2 Frequency Distributions and Probability_第4頁
心理統(tǒng)計學(xué)英文版課件L2 Frequency Distributions and Probability_第5頁
已閱讀5頁,還剩40頁未讀, 繼續(xù)免費(fèi)閱讀

下載本文檔

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(jìn)行舉報或認(rèn)領(lǐng)

文檔簡介

1FrequencyDistributionsandProbability2FrequencyDistributionsAftercollectingdata,thefirsttaskforaresearcheristoorganizeandsimplifythedatasothatitispossibletogetageneraloverviewoftheresults.Thisisthegoalofdescriptivestatisticaltechniques.Onemethodforsimplifyingandorganizingdataistoconstructafrequencydistribution.3FrequencyDistributions(cont.)Afrequencydistributionisanorganizedtabulationshowingexactlyhowmanyindividualsarelocatedineachcategoryonthescaleofmeasurement.Afrequencydistributionpresentsanorganizedpictureoftheentiresetofscores,anditshowswhereeachindividualislocatedrelativetoothersinthedistribution.4FrequencyDistributionTablesAfrequencydistributiontableconsistsofatleasttwocolumns-onelistingcategoriesonthescaleofmeasurement(X)andanotherforfrequency(f).IntheXcolumn,valuesarelistedfromthehighesttolowest,withoutskippingany.Forthefrequencycolumn,talliesaredeterminedforeachvalue(howofteneachXvalueoccursinthedataset).ThesetalliesarethefrequenciesforeachXvalue.ThesumofthefrequenciesshouldequalN.5FrequencyDistributionTables(cont.)Athirdcolumncanbeusedfortheproportion(p)foreachcategory:p=f/N.Thesumofthepcolumnshouldequal1.00.AfourthcolumncandisplaythepercentageofthedistributioncorrespondingtoeachXvalue.Thepercentageisfoundbymultiplyingpby100.Thesumofthepercentagecolumnis100%.6RegularFrequencyDistributionWhenafrequencydistributiontablelistsalloftheindividualcategories(Xvalues)itiscalledaregularfrequencydistribution.7GroupedFrequencyDistributionSometimes,however,asetofscorescoversawiderangeofvalues.Inthesesituations,alistofalltheXvalueswouldbequitelong-toolongtobea“simple”presentationofthedata.Toremedythissituation,agroupedfrequencydistributiontableisused.8GroupedFrequencyDistribution(cont.)Inagroupedtable,theXcolumnlistsgroupsofscores,calledclassintervals,ratherthanindividualvalues.Theseintervalsallhavethesamewidth,usuallyasimplenumbersuchas2,5,10,andsoon.Eachintervalbeginswithavaluethatisamultipleoftheintervalwidth.Theintervalwidthisselectedsothatthetablewillhaveapproximatelytenintervals.9FrequencyDistributionGraphsInafrequencydistributiongraph,thescorecategories(Xvalues)arelistedontheXaxisandthefrequenciesarelistedontheYaxis.Whenthescorecategoriesconsistofnumericalscoresfromanintervalorratioscale,thegraphshouldbeeitherahistogramorapolygon.10HistogramsInahistogram,abariscenteredaboveeachscore(orclassinterval)sothattheheightofthebarcorrespondstothefrequencyandthewidthextendstothereallimits,sothatadjacentbarstouch.12PolygonsInapolygon,adotiscenteredaboveeachscoresothattheheightofthedotcorrespondstothefrequency.Thedotsarethenconnectedbystraightlines.Anadditionallineisdrawnateachendtobringthegraphbacktoazerofrequency.14BargraphsWhenthescorecategories(Xvalues)aremeasurementsfromanominaloranordinalscale,thegraphshouldbeabargraph.Abargraphisjustlikeahistogramexceptthatgapsorspacesareleftbetweenadjacentbars.16RelativefrequencyManypopulationsaresolargethatitisimpossibletoknowtheexactnumberofindividuals(frequency)foranyspecificcategory.Inthesesituations,populationdistributionscanbeshownusingrelativefrequencyinsteadoftheabsolutenumberofindividualsforeachcategory.18SmoothcurveIfthescoresinthepopulationaremeasuredonanintervalorratioscale,itiscustomarytopresentthedistributionasasmoothcurveratherthanajaggedhistogramorpolygon.Thesmoothcurveemphasizesthefactthatthedistributionisnotshowingtheexactfrequencyforeachcategory.20FrequencydistributiongraphsFrequencydistributiongraphsareusefulbecausetheyshowtheentiresetofscores.Ataglance,youcandeterminethehighestscore,thelowestscore,andwherethescoresarecentered.Thegraphalsoshowswhetherthescoresareclusteredtogetherorscatteredoverawiderange.21ShapeAgraphshowstheshapeofthedistribution.Adistributionissymmetricaliftheleftsideofthegraphis(roughly)amirrorimageoftherightside.Oneexampleofasymmetricaldistributionisthebell-shapednormaldistribution.Ontheotherhand,distributionsareskewedwhenscorespileupononesideofthedistribution,leavinga"tail"ofafewextremevaluesontheotherside.22PositivelyandNegatively

SkewedDistributionsInapositivelyskeweddistribution,thescorestendtopileupontheleftsideofthedistributionwiththetailtaperingofftotheright.Inanegativelyskeweddistribution,thescorestendtopileupontherightsideandthetailpointstotheleft.24Percentiles,PercentileRanks,

andInterpolationTherelativelocationofindividualscoreswithinadistributioncanbedescribedbypercentilesandpercentileranks.ThepercentilerankforaparticularXvalueisthepercentageofindividualswithscoresequaltoorlessthanthatXvalue.WhenanXvalueisdescribedbyitsrank,itiscalledapercentile.25Percentiles,PercentileRanks,

andInterpolation(cont.)Tofindpercentilesandpercentileranks,twonewcolumnsareplacedinthefrequencydistributiontable:Oneisforcumulativefrequency(cf)andtheotherisforcumulativepercentage(c%).Eachcumulativepercentageidentifiesthepercentilerankfortheupperreallimitofthecorrespondingscoreorclassinterval.Whenscoresorpercentagesdonotcorrespondtoupperreallimitsorcumulativepercentages,youmustuseinterpolationtodeterminethecorrespondingranksandpercentiles.Interpolationisamathematicalprocessbasedontheassumptionthatthescoresandthepercentageschangeinaregular,linearfashionasyoumovethroughanintervalfromoneendtotheother.26InterpolationWhenscoresorpercentagesdonotcorrespondtoupperreallimitsorcumulativepercentages,youmustuseinterpolationtodeterminethecorrespondingranksandpercentiles.Interpolationisamathematicalprocessbasedontheassumptionthatthescoresandthepercentageschangeinaregular,linearfashionasyoumovethroughanintervalfromoneendtotheother.28Stem-and-LeafDisplaysAstem-and-leafdisplayprovidesaveryefficientmethodforobtaininganddisplayingafrequencydistribution.Eachscoreisdividedintoastemconsistingofthefirstdigitordigits,andaleafconsistingofthefinaldigit.Finally,yougothroughthelistofscores,oneatatime,andwritetheleafforeachscorebesideitsstem.Theresultingdisplayprovidesanorganizedpictureoftheentiredistribution.Thenumberofleafsbesideeachstemcorrespondstothefrequency,andtheindividualleafsidentifytheindividualscores.30ProbabilityProbabilityisamethodformeasuringandquantifyingthelikelihoodofobtainingaspecificsamplefromaspecificpopulation.Wedefineprobabilityasafractionoraproportion.Theprobabilityofanyspecificoutcomeisdeterminedbyaratiocomparingthefrequencyofoccurrenceforthatoutcomerelativetothetotalnumberofpossibleoutcomes. 32Probability(cont.)Wheneverthescoresinapopulationarevariableitisimpossibletopredictwithperfectaccuracyexactlywhichscoreorscoreswillbeobtainedwhenyoutakeasamplefromthepopulation.Inthissituation,researchersrelyonprobabilitytodeterminetherelativelikelihoodforspecificsamples.Thus,althoughyoumaynotbeabletopredictexactlywhichvalue(s)willbeobtainedforasample,itispossibletodeterminewhichoutcomeshavehighprobabilityandwhichhavelowprobability.33Probability(cont.)Probabilityisdeterminedbyafractionorproportion.Whenapopulationofscoresisrepresentedbyafrequencydistribution,probabilitiescanbedefinedbyproportionsofthedistribution.Ingraphs,probabilitycanbedefinedasaproportionofareaunderthecurve.34ProbabilityandtheNormalDistributionIfaverticallineisdrawnthroughanormaldistribution,severalthingsoccur. 1.Theexactlocationofthelinecanbe specifiedbyaz-score. 2.Thelinedividesthedistribution into twosections.Thelargersectionis calledthebodyandthesmallersection iscalledthetail.35ProbabilityandtheNormalDistribution(cont.)Theunitnormaltablelistsseveraldifferentproportionscorrespondingtoeachz-scorelocation.ColumnAofthetablelistsz-scorevalues.Foreachz-scorelocation,columnsBandClisttheproportionsinthebodyandtail,respectively.Finally,columnDliststheproportionbetweenthemeanandthez-scorelocation.Becauseprobabilityisequivalenttoproportion,thetablevaluescanalsobeusedtodetermineprobabilities.37ProbabilityandtheNormalDistribution(cont.)Tofindtheprobabilitycorrespondingtoaparticularscore(Xvalue),youfirsttransformthescoreintoaz-score,thenlookupthez-scoreinthetableandreadacrosstherowtofindtheappropriateproportion/probability.Tofindthescore(Xvalue)correspondingtoaparticularproportion,youfirstlookuptheproportioninthetable,readacrosstherowtofindthecorrespondingz-score,andthentransformthez-scoreintoanXvalue.38PercentilesandPercentileRanksThepercentilerankforaspecificXvalueisthepercentageofindividualswithscoresatorbelowthatvalue.Whenascoreisreferredtobyitsrank,thescoreiscalledapercentile.Thepercentilerankforascoreinanormaldistributionissimplytheproportiontotheleftofthescore.40ProbabilityandtheBinomialDistributionBinomialdistributionsareformedbyaseriesofobservations(forexample,100cointosses)forwhichthereareexactlytwopossibleoutcomes(headsandtails).ThetwooutcomesareidentifiedasAandB,withprobabilitiesofp(A)=pandp(B)=q.ThedistributionshowstheprobabilityforeachvalueofX,whereXisthenumberofoccurrencesofAinaseriesofnobservations.41ProbabilityandtheBinomialDistribution(cont.)Whenpnandqnarebothgreaterthan10,thebinomialdistributioniscloselyapproximatedbyanormaldistributi

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(hù)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。

評論

0/150

提交評論