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4-5..and..Chapter..4,..SectFinally,...be...able...to...compute...using...enumeration...techniques...and...apply...them...to...probabilities...and...random...variables,...as,...for...example...done...in...the...assigned...homeworkKnow...the...properties...of...the...moment...generating...function,...and...how...to...compute...and...apply...them..This..page..maintained..by..Robert..Sharpley..(sharpleymath.sc.edu)..and..last..updated..December..3,..2000Although....Section....6.8....was....covered....in....class,....it....was....announced....that....it....will....not....be....on....tbe....Final....Exam

1-4...from...the...Text]...Objectives:...Know...the...definitions...of...the...following...probability...distributions...and...the...uses...of...the...random...variable...models...that...they...typically...represent:...Discrete:......Poisson,...geometric,...and...negative...binomial...Continuous:......uniform,...exponential,...gamma,...chi2,...and...standard...normal...Emphasis...is...placed...on...those...that...are...boldedBe..able..to..apply..these..random..variables,..i.eP(A....B)....=....P(A)....+P(B)....-....P(AB),.....),....Bayes'....Theorem,....properties....of....independence(Some...the...sample...tests...and...answers...are...given...in...Adobe...PDF...Format.)...Otherwise,....click....here....to....be....redirected....to....the....homepage.Know...the..."formal...definitions"...of...Probability,...conditional...probability,...mutually...independent...events,...random...variable,...and...the...probability...mass...function...of...a...random...variable404..-..Page..Not..Found..Sorry,..the..page..you..are..looking..for..does..not..exist..This..page..1997-2000,..The..Board..of..Trustees..of..the..University..of..South..CarolinahereKnow..the..statements..and..proofs..of..the..properties..of..mathematical..expectation..including..the..formulas..for..E[X]..for..specific..distributions

These..last..sections..covered..are..Sections..5.1-5.3;..61.-6.2Objectives:..Be..able..to..compute..probabilities..for..joint..probability..distributionsMath...511...Tests-...Spring...2000,...Professor...Howard(These...are...given...in...Adobe...PDF...Format.)...Math...511...Tests,...Professor...SumnerPlease...check...the...URLBe...able...to...compute...the...moments...and...moment...generating...functions...for...these...random...variables...(both...continuous...and...discrete)Know..the..properties..of..independent..random..variablesBe...able...to...derive...the...MGF...for...the...Binomial...DistributionBe...able...to...work...with...sums...of...independent...random...variables...and...their...moment...generating...functionsCode..Test..1..Test..2..Test..3..HW..Exam..Course..Letter..-----..------..------..------..---..----..------..------..2541..52..70..52..87..67..57..C..2099..86..100..100..103..150..97..A+..HMKK..56..61..59..48..99..60..C..SHORT..86..87..89..68..114..82..B+..HOUSE..62..93..65..92..89..71..B..2789..59..77..53..90..73..61..C..9023..98..98..95..103..146..98..A+..4855..45..73..50..75..92..60..C..3334..34..55..44..51..76..47..D..1198..84..87..67..73..97..74..B..4728..83..93..80..92..143..89..A..JDJNW..36..58..31..47..71..44..D..

Test..3......Solutions....[Material..covered:....Chapter..3,..SectCourse....Grades....turned....in....Thursday,....May....10....at....2....pmUnderstand....how....the....MGF...."encodes"....the....moments....E[Xr]....and....the....probability....mass....function....for....a....random....variableThe....Probability....site....developed....by....Professor....Sumner....has....an....excellent....set....of....problems,....sample....test....problems,....programs....and....probabilistic....simulationsKnow..how..to..prove..properties..of..probability..(e.g

Know....the....statement....of....the....Multiplication....Principle,....the....Multiplication....Rule....for....probabilities,....and....Bayes'....TheoremFinal..Exam....[Material..covered:....Material..from..Test..1-3..will..be..approximately..80%..of..the..Final..Exam,..the..remaining..20%..will..cover..jointly..distributed..random..variablesTest...2.........Solutions......[Material...covered:......Text...Sections...3.1-3.4,...use...of...Excel...for...computation...and...synthetic...experiments]...Objectives:...Know...the...definitions...of...the...Bernoulli,...Binomial,...and...the...Hypergeometric...distributions...and...the...types...of...random...variables...with...which...they...are...most...often...associated,...expectation...of...a...random...variable...and...others...related...to...it,...including...its...moments...E[X],...E[X2],...and....the....moment....generating....function....MX(t)....of....a....random....variable....XBe....able....to....compute....marginal....and....conditional....distributions,....correlation....coefficients,....and....expectations....for....random....variables....with....joint....distributionsTest..1......Solutions....[Sections..of..Text..covered:....2.1-2.5;..3.1,..3.3..(Binomial..distURL:.....Links....to....additional....sample....tests....and....resources: e44e635bdc
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