Math310 Lecture Outline.docx
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Math310LectureOutline
Math310LectureOutline.
ChapterTwo.TheBasicsofProbability.
Vocabulary(Section2.1).Inyesterday’slab,westudiedasituationthatcouldbemodeledby11blackcardsand12redcardsthatareshuffledandthen12cardsaredealttoGroupA.Describeeachofthefollowingforthissituation.
Experiment.
SampleSpace.
Events.
SimpleEvents.
CompoundEvents.
MoreVocabulary.(HereAandBdenoteevents).
Union(AÈB)
Intersection(AÇB)
Complement(A'orAC)
MutuallyExclusiveEvents
DefinitionofProbability(Section2.2)
GivenanexperimentwithoutcomespaceS,aprobabilityisafunctionPwhichassignsarealnumberP(A)toeacheventAS,subjecttothefollowingthreerules:
1.
2.
3.
Usingprobabilitiestomodel.
Probabilityrepresents
EmpiricalProbability
Theprobabilitymodel.
InterpretationsofProbability.
ObjectiveProbability
SubjectiveProbability
Note.Themathematicaldevelopmentislimitedtoobjectiveprobabilityandcautionshouldbetakenwhenapplyingresultstosubjectiveprobabilities.
Otherpropertiesoftheprobabilityfunction.AnyfunctionPthatsatisfiestheabovethreepropertiesalsosatisfiessomeotherusefulproperties.
Property1.Allprobabilitiesarebetween0and1.
Property2.Thecomplementrule.
Property3.Theadditionrule.
Example1.Apersonisapplyingfortwojobs.Theyfeelthattheprobabilitytheywillgetanofferforthefirstjobis0.6,theprobabilitytheywillgetanofferforthesecondjobis0.8,andtheprobabilitytheywillgetbothoffersis0.5.
a)Isthissubjectiveorobjective?
b)Calculatetheprobabilitytheywillgetatleastonejoboffer.
c)Calculatetheprobabilitytheywillgetnojoboffers.
Example2.Acertainsystemcanhavethreedifferenttypesofdefects.LetAidenotetheeventthatthesystemhasdefecti.SupposethatP(A1)=0.12,P(A2)=0.07,P(A3)=0.05,P(A1ÇA2)=0.06,P(A1ÇA3)=0.03,P(A2ÇA3)=0.02,andP(A1ÇA2ÇA3)=0.01.
a)Isthissubjectiveorobjective?
b)ExplainwhattheeventsA1ÇA2ÇA3andA1ÈA2ÈA3represent.
c)DrawaVenndiagramrepresentingtheprobabilities.
d)Whatistheprobabilitythatasystemdoesnothaveadefect?
e)Whatistheprobabilitythatasystemhasatleastonedefect?
f)Whatistheprobabilitythatasystemhasatleasttwodefects?
g)Whatistheprobabilitythatasystemhasallthreedefects?
CountingandProbability(Section2.3).SupposeasamplespaceScontainsfinitelymanyelements,andassumethateachoftheseoutcomesisequallylikely.Inthiscase,givenanyeventAS,wecancalculatetheprobabilitythatAoccursinthisway:
MultiplicationPrincipleandTreeDiagrams.
Example3
a)Howmany1toppingpizzascanbemadeifyouhave3choicesforsize,2choicesforcrusttype,and12pizzatoppingstochoosefrom?
b)Howmanypizzascanbemadeifyoucanincludeanynumberoftoppings?
Permutations.
Example4.Ifthereare12playersonalittleleaguebaseballteam,howmanywayscanthe9fieldpositionsbeassigned?
Combinations.
Example5.Acommitteeof10wouldliketocreateasubcommitteeof3.Howmanydifferentwayscanthisbedone?
Hyper-geometricProbabilities.
Setting
Logic
Formula
Example6.Fifteentelephoneshavejustbeenreceivedatanauthorizedservicecenter(5cellular,5cordless,and5corded).Supposethatthephonesareservicedinrandomorder.
a)Whatistheprobabilitythatallofthecellularphonesareamongthefirst6tobeserviced?
b)Whatistheprobabilitythatafterservicing6phones,phonesofonlytwoofthethreetypesremaintobeserviced?
c)Whatistheprobabilitythatafterservicing10phones,phonesofonlytwoofthethreetypesremaintobeserviced?
d)Whatistheprobabilitythattwophonesofeachtypeareamongthefirst6tobeserviced?
Example7(Section2.4).Ashopkeeperphonestotellyouthatshehastwonewbabybeagles.Youaskherifshehasafemalepuppy,andsherepliesthatshedoes.However,onthewaytomeether,youchangeyourmindanddecidethatyouwouldratherhaveamalepuppy.Whatistheprobabilitythatshehasamalepuppy?
a)Guesstheanswer.
b)Doasimulationusingpennies.Recordtheempiricalprobabilityfromthesimulationusingresultsofwholeclass.
c)Giveoriginalsamplespaceandprobabilityassignmentandreducedsamplespaceandprobabilityassignment.Usethistogivetheexactprobability.
d)Notation.
ConditionalProbability.
IntuitionviaVennDiagrams.
FormalDefinition.
Example8.Supposeyourolltwofairsix-sideddice,oneofwhichisredandoneofwhichisblue.Yourecordthenumbersshowingoneachdie.LetA=“thebluediecomesup3”,B=“atleastoneofthedicecomesup3”,andC=“thesumofthediceis7”.Calculatethefollowing:
a)P(A|B)
b)P(B|A)
c)P(A|C)
d)P(C|A)
e)P(B|C)
f)P(C|B).
MultiplicationRule.
Example9.Supposeourexperimentistodraw2cardsfromastandarddeckwithoutreplacementandrecordthesequenceofcardsselected(anorderedsamplewithoutreplacement).LetB=“thefirstcardisaSpade”andletA=“thesecondcardisaSpade”
a)FindP(A|B)andP(A|B')
b)ComputeP(AÇB)andP(AÇB').
Example10.Supposeyouknowthatexactly4lightbulbsoutofaboxof10bulbsaredefective.Youplantolocatethedefectivebulbsbydrawingthebulbsoutoneatatimeandtestingthem(withoutreplacement).Findtheprobabilitythat
a)Youfindthe4thdefectivebulbonorbeforetheseventhtest.
b)Youfindthe4thdefectivebulbontheseventhtest.
WorkingwithConditionals.
▪ForsomeexperimentsyoucancalculateP(AÇB)andP(B).ThiscanbeusedtofindP(A|B).Whatexamplesdidwedothison?
▪OthertimesyoucancalculateP(B)andP(A|B).ThiscanbeusedtofindP(AÇB).Whatexamplesdidwedothison?
Example11.Supposethatapersonisselectedatrandomfromalargepopulationofwhich1%aredrugusersandthatadrugtestisadministeredthatis98%reliable.Ifapersontestspositivefordrugs,whatistheprobabilitythattheyareadruguser?
a)Whatdoyouthinktheansweris?
b)IntroduceNotation.
c)SimulationviaMaple.
d)Calculation.
IndependentEvents(Section2.5).EventsAandBaresaidtobeindependentifP(A|B)=P(A).Inotherwords,“ifweknowthatBoccurs,itdoesnotchangetheprobabilitythatAoccurs.”
MultiplicationRuleforIndependentEvents.
P(A⋂B)=P(A)P(B).
Notes.
1)IfeventsAandBareindependent,itfollowsthatP(B|A)=P(B).Thiscanbeshownusingdefinitionofindependence,conditionalprobability,and(general)multiplicationrule.(Thus,therolesofAandBaresymmetricinthedefinitionofindependence.)
2)IfAandBareindependentevents,thenthefollowingpairsofeventsarealsoindependent:
a)AandB'
b)A'andB
c)A'andB'
DeterminingDependenceorIndependence
Example12.•Considerexperiment“Drawonecardfromastandarddeck.”
a)LetA=“thecardisanace”andB=“thecardisaheart”.
AreAandBindependent?
b)LetA=“thecardistheaceofhearts”andB=“thecardisaheart”.AreAandBindependent?
Example13.Considertheexperiment“Rolltwosixsideddie.”
a)LetA=“Rollasumof5”andB=“Thefirstdieisathree”.AreAandBindependent?
b)LetA=“Rollasumof7”andB=“Thefirstdieisathree”.AreAandBindependent?
Example14.
a)Drawtwocardsfromastandarddeckwithoutreplacement,andrecordthesequenceofcardsdrawn.LetA=“thesecondcardisaspade”andB=“thefirstcardisaspade”.AreAandBindependent?
b)Whatissamplingwasdonewithreplacement?
Usingindependencetocalculateprobability.
Example15.•ConsideranelectricalcircuitwithcomponentsA,B,C,andD.Eachoperatesindependentlyandis90%reliable.ComponentsAandBareconnectedinseriesasarecomponentsCandD;thesetwounitsarethenconnectedinparallel.Findtheprobabilitythattheelectricalcircuitworks.
Example16.Theprobabilitythatagraderwillmakeamarkingerroronanyparticularquestionofatruefalseexamis0.1.Thereare10questionsandquestionsaremarkedindependently.
a)Whatistheprobabilitythatnoerrorsaremade?
b)Whatistheprobabilitythatexactlytwoerrorsaremade?
GeneralizationofExample16.•Supposeinsteadthattherearentruefalsequestionsandtheprobabilityofmakingamarkingerrorisp.
a)Whatistheprobabilitythatnoerrorsaremade?
b)Whatistheprobabilitythatexactlytwoerrorsaremade?
c)Whatistheprobabilitythatexactlykerrorsaremade?
BinomialProbabilities.
Setting
Logic(previousexample)
Formula
TheLastExample.A10questiontruefalsetestneedstobere-gradedifanyofthequestionsaregradedincorrectly.(Questionsaregradedindependentlyofeachother,eachwiththesameprobabilityofgradedincorrectly.)
a)If15%ofalltestsneedtobere-graded,whatistheprobabilitythataquestionisgradedincorrectly?
b)Howsmallshouldtheprobabilityofmis-gradingaquestionbetoensurethatonly5%ofexamsneedtobere-graded?
SummaryofChapter2
CountingRules
MultiplicationPrinciple
Permutations
Combinations
ProbabilityRules
Alwaysbetween0and1
RuleforComplements.
AdditionRuleForMutuallyExclusiveEvents.
GeneralAdditionRule
MultiplicationRuleforIndependentEvents
GeneralMultiplicationRule
ConditionalProbabilities
FindConditionalProbabilitiesfromthoseofsingleeventsandintersections.
FindProbabilitiesofintersectionsfromthoseofsingleeventsandconditionals.
IndependentEvents
Usemathematicaldefinitiontocheckifeventsareindependent.
Assumeeventsareindependentandcalculateprobabi