ECMT 5001 Year Semester 2ECMT 5001 Mid term test.docx

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ECMT5001YearSemester2ECMT5001Midtermtest

ANSWERSQUIZA(PAGES3-9)

ANSWERSQUIZB(PAGES11-18)

 

UniversityofSydney

OperationsmanagementANDEconometrics

ECMT5001:

PrinciplesofEconometrics

Mid-SemesterExaminationAStream1

Answerallthree(3)questions.

Questions1,2and3areofequalvalue(ie20markseach).TheTotalmarkis60

Youareentitledtobringalonganon-programmablecalculator.

Formulaewillbeprovided.

Statisticaltableswillbeprovided.

Youranswersshouldincludefulldetailsofyourworkingandreasoning,andstateclearlyanyassumptionsmadeandhypothesestested.

Ifonepartofaproblemrequiresaresultfromapreviouspartthatyouwereunabletoanswer,statehowyouwouldhaveusedthepreviousresult.

PleasemakesureyournameandSIDareonthispaper.

SOMEUSEFULFORMULAE

Question1:

A)Apubliclibraryhastrackedusagebylevelofeducationandfoundthefollowingdatafor350libraryusers.(8marks)

Educationlevel

Libraryuse

L(Lessoften)

M(Monthly)

W(Weekly)

UD(Universitydegree)

20(0.057)

40(0.114)

120(0.343)

ND(Nodegree)

80(0.229)

50(0.143)

40(0.114)

i)Basedonthesedata,whatistheprobabilitythatapersonusesthelibraryWeekly?

P(Weekly)=(120+40)/350or16/25

=0.343+0.114

=0.457

ii)Giventhatapersonhasauniversitydegree,whatistheprobabilitythattheywillusetheMonthly?

P(Monthly|UDegree)=(40/350)/((20+40+120)/350)or2/9

=0.114/(0.057+0.114+0.343)

=0.114/0.514

=0.222

 

iii)Whatwouldthisprobabilityhavetobeiftheevent‘UsetheLibraryMonthly”wasindependentfromtheevent“Hasauniversitydegree”?

P(Monthly)*P(UDegree)=(90/350)*(180/350)

=0.257*0.514

=0.132

iv)IftwopeoplearerandomlyselectedfromthissampleofLibraryUsers,whatareallthepossiblesamplesthatcouldoccur,thatiswritedownthesamplespace)of“Libraryusage”.

Samplespaceisasfollows:

1.HaveaUniversityDegreeandusethelibraryWeekly

2.DonothaveaUniversityDegreeandusethelibraryWeekly

3.HaveaUniversityDegreeandusethelibraryMonthy

4.DonothaveaUniversityDegreeandusethelibraryMonthy

5.HaveaUniversityDegreeandusethelibraryLessOften

6.DonothaveaUniversityDegreeandusethelibraryLessOften

NB:

Thoughnotintended,samplespaceof2selectedatrandomcouldhavebeeninterpretedas6by6asdefinedaboveieeverycombination,soQmarkedleniently.

B)Themanufacturersofabottleoflotionclaimthecontentsarenormallydistributedwithameanof80mlsandastandarddeviationof4mls.(8marks)

i)Whatisthechancethatthecontentsofonebottleoflotionliesbetween79mland82ml

X=ContentsofthebottleoflotionX~N(80,42)usingformula:

P(79

44

=P(-0.25

=0.0987+0.1915

=0.2902

ii)Whatwillbeexpectedcontentsofthelowest15%ofbottles(to1decimalplace)?

X=contentsofthebottleoflotionX~N(80,42)

P(X

P((x-80)/4

=0.5-0.35

=a

a=1.04(fromZtables)

NBlowest15%thereforeSUBTRACTFROMTHEMEAN!

Thereforex=80-(1.04*4)

=80–4.16

=75.84ml

iii)Ifarandomsampleof100bottlesarechosenfortesting,whatistheprobabilitythattheaveragecontentsis75mls?

(NBTYPOSHOULDHAVEBEEN79)

X=contentsofthebottleoflotionX~N(80,42)x=79andn=100

Z=(75-80)/(4/√100)

=5/0.4

=12.5

p~0.0000almostimpossible!

Ifyouwroteprobabilityof1–nomarksdeducted.

C)Writeyouranswertothefollowingtwoquestions.Youmayuseadiagram&words(4Marks)

i)Whichmeasureofcentraltendencyismosteffectedbythedegreeofskewnessinafrequencydistribution?

Why?

Themeanbecauseitisthemosteffectedbyoutlyingorextremevaluesduetobeingcalculatedbysummingallvaluesanddividingbythenumberofvaluesieeveryvaluewhetheranoutlierornearthemiddlehasthesameweight.

ii)Whichmeasureofcentraltendencyisleasteffectedbythedegreeofskewnessinafrequencydistribution?

Why?

Themedianbecauseitisthemiddlescorewhenthedataarerankedinorderfromlowesttohighestvalue,iethe50thpercentileandisthereforeleasteffectedbyoutlyingvaluesorskews.

Question2:

A)Asoccerteamplayssocceronarosterof0,1or2daysaweek.Theyplay0days20%ofthetime,theyplay1day50%ofthetimeandtheyplay2days30%ofthetime.

(7marks)

i)Constructaprobabilitydistributionfunctiontableforthisseries.

 

X

P(x)

0

0.20

1

0.50

2

0.30

TOTAL

1

 

ii)Whatistheexpectedvalueofthedaysoftheweekthesoccerteamplays?

 

E(X)=0*P(X=0)+1*P(X=1)+2*P(X=2)

E(X)=0*0.2+1*0.5+2*0.3

=0+0.5+0.6

=1.1

 

iii)Whatistheexpectedvarianceofthisseries?

Var(X)=Σx2p(x)-μ2=Σ(x2-μ2)p(x)

E(V)=(0-1.1)2*(.2)+(1-1.1)2*.5+(2-1.1)2*.3

=0.242+0.005+0.243

=0.490

 

B)SusanisanexpertOlympicbasketballplayerandshehasimprovedforthepast10yearsandisnowasgoodasshewilleverbe.Hersuccessratehasbeenmeasuredat80%.Shetakes6shotsongoalintheBeijingOlympicfinalforherteam.(7marks)

i)WritedowntheprobabilityforeachvalueofX(thenumberofsuccesses)usingtheBernoullitables

FORMULAIS:

 

ButnoneedtocalculateascanuseBERNOULLITABLESprovidedforp=0.80andN=6

P(X=0)=0.000

P(X=1)=0.002

P(X=2)=0.015

P(X=3)=0.082

P(X=4)=0.246

P(X=5)=0.393

P(X=6)=0.262

ii)WhatistheprobabilityofSusanshootingatleast5goalsoutof6?

=P(5<=X<=6)

=P(5)+P(6)

=0.393+0.262

=0.655

Or65.5%

iii)Whatistheprobabilityofatmost2successesinhershootingagoal?

=P(0)+P

(1)+P

(2)

=0.000+0.002+0.015

=0.017

Or1.7%

C)Answerthefollowingquestionsinyourownwords–youmayusediagramsandwords.

(6marks)

i)DefineandexplainthedifferencebetweenaOneTailedTestandaTwoTailedTest?

Aonetailedtestistherejectionareaforahypothesisinvolvingonedirectionandnormallyincludestermssuchasgreaterthanorlessthanandistestedbycriticalvaluesofhalfthenormalcurve.

Therejectionregionstellswherewewillrejectanullhypothesis.

Atwotailedtestistherejectionregionforahypothesistestthatdoesnotspecifyadirectioneg“isnotequalto”.Atwotailedtestisastrictertestinthatthecriticalvalueishalvedforeachdirection,egifthecriticalvalueisthe.05%level,thetwotailedtestmustbeassessedfortheα=0.025criticalregion.

ii)DefineandexplainthedifferencebetweenaTypeIErrorandaTypeIIError

ATypeIErrorismadebyrejectinganullhypothesiswhenitistrue,itistheprobabilityofaphaαItoccurswhenyouarelenientintherejectionofthenullhypothesisegusep=.010.

ATypeIIErrorismadebynotrejectinganullhypothesiswhenitisfalse,itistheprobabilityofbetaβ.Itoccurswhenyouaretoostrictintherejectionofthenullhypothesisegusep=0.01.

REALITY

 

Decision

TRUE

FALSE

Donotreject

OK

Type2

Reject

Type1

OK

Wecannotreducetheprobabilityofonetypeoferrorwithoutincreasingtheprobabilityoftheother.Asthesignificanceleveldecreasesegapproaches0.01itismorelikelythatyouwillmakeaTypeIIErrorwhileaTypeIErrorismorelikelytooccurasporαlevelincreasesegto0.10.

NB:

nomarksdeductedforusingstrictandlenientin

termsofthealternativehypothesis

Question3:

A)Afinancialadvisingcompanywasconcernedaboutwhethertheirlevelsofcustomerservicewereconsistentacrossbranches.Asatisfactionratingwasobtainedfortwobranchesfromindependentsamples.Thedataareshownbelow.(10marks)

SAMPLE1

SAMPLE2

42

41

69

38

48

46

37

49

42

37

18

36

64

42

71

18

=391

=307

 

Performahypothesistestforthisproblem,listingoutall7stepsofhypothesistesting.

NBusingmeanandsdformula:

OR

1.Data:

Sample1:

N=8=48.88s=18.18s2=330.41

Sample2:

N=8=38.38s=9.36s2=87.70

2.H0:

Sample1mean=Sample2meanH1:

Sample1mean≠2mean

3.AsN<30,usethetdistributionandthetwosamplet-test

4.Chooseapvalueof0.05or0.01torejectnullhypothesis.With14degreesoffreedom(8+8-2)

Thecriticalvalueoftis2.145at0.05and2.648at0.01levelsattwotailedlevel

5.tstatistic:

D=X1–X2~(md,sd2)

t=1.45

 

1.Asthecalculatedvalueoftislessthanthecriticalvalue,wedonotrejectthenullhypothesis.

7.Concludethatthesatisfactionratingisnotsignificantlydifferentbetweenthetwobranches.

 

B)Aneconomistwantstochoosebetweentherateofreturnfortwodifferentproductsandhewantstotellhisbosswhetherthesearelowerthantheexpectedrateofreturnof$95.Hewantstobesureattheα=0.05.Stateanullandalternativehypothesistotestandselecttheappropriateteststatisticsandstatewhetherthisisaonetailedortwotailedtest.(5marks)

Rateofreturn

Average

$90.76

StandardDeviation

$19.32

N

200

H0:

μ=95

H1:

μ<95

AlthoughσisunknownasN>30wecanuseZdistribution(Nbhassameformulaast)

z=-4.24/1.37

z=-3.10

Onetailedhypothesisselectedastheproblemistoinvestigatewhethertherateofreturnis

lowerthanexpected

p=0.5-0.4990

=0.001

AsZ<-1.65ieoutsidethecriticalboundary,rejectnullhypothesisandconcludethattherateofreturnissignificantlylowerthanexpectedrateof$95

C)Beforeconductingmanystatisticaltestsitisimportanttotestwhethertheassumptionofhomogeneityofvariancesismet.Setupandtestahypothesisforthefollowingdata.

(5

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