MAT 263 Probability Theory [Teori Kebarangkalian]
|
|
- Arline Chase
- 5 years ago
- Views:
Transcription
1 UIVERSITI SAIS MALAYSIA First Semester Eamiatio 4/5 Academic Sessio December 4/Jauary 5 MAT 63 Probability Theory [Teori Kebaragkalia] Duratio : 3 hours [Masa : 3 jam] Please check that this eamiatio aer cosists of TE ages of rited material before you begi the eamiatio [Sila astika bahawa kertas eeriksaa ii megadugi SEPULUH muka surat yag bercetak sebelum ada memulaka eeriksaa ii] Istructios: [Araha: Aswer all te [] questios Jawab semua seuluh [] soala] I the evet of ay discreacies, the Eglish versio shall be used [Sekiraya terdaat sebarag ercaggaha ada soala eeriksaa, versi Bahasa Iggeris hedaklah digua akai] /-
2 - - [MAT 63] Suose E, F ad G are evets i a samle sace ad E, F, G State whether the followig statemets are true or false Justify your aswers (a) If E ad F are mutually eclusive, the they are ideedet (b) If E c F, the F c E c (c) If E, F ad G are mutually ideedet, the E ad F G are also mutually ideedet [ marks] Adaika E, F ad G adalah eristiwa-eristiwa dalam ruag samel da E, F, G yataka sama ada eryataa yag berikut bear atau salah Tetusahka jawaa ada (a) Jika E da F salig eksklusif, maka E da F adalah salig tak bersadar (b) Jika E c F, maka F c E c (c) If E, F ad G are mutually ideedet, the E ad F G are also mutually ideedet [ markah] I good coditio, a machie roduces defective items oly % of the time I broke coditio, it roduces defective items 4% of the time Suose that the robability that the machie breaks dow is (a) (b) (c) What is the robability that a radomly selected item is defective? What is the robability that the machie is i good coditio, give that a radomly selected item is defective? Suose a samle of 6 items were selected ad were foud to be defective Was the machie i good coditio at the time? [ marks] Semasa dalam keadaa baik, sebuah mesi meghasilka baraga cacat haya % dariada masa Dalam keadaa rosak, mesi tersebut meghasilka baraga cacat 4% dariada masa Adaika bahawa kebaragkalia mesi itu rosak ialah (a) (b) (c) Aakah kebaragkalia bahawa suatu baraga yag diilih secara rawak adalah cacat? Aakah kebaragkalia bahawa mesi tersebut dalam keadaa baik, jika diketahui bahawa suatu baraga yag diilih secara rawak adalah cacat? Adaika suatu samel 6 baraga diilh secara rawak da dariadaya didaati cacat Adakah mesi tersebut dalam keadaa baik ketika itu? [ markah] 3/-
3 3 Let X be a geometric radom variable with arameter (a) Comute ( X ) (b) P > [MAT 63] Show that X has the memoryless roerty ie for ay itegers ad m, with > m, P( X > X > m) = P( X > - m) 3 Adaika X ialah suatu embohubah rawak geometrik dega arameter (a) Hitug ( X ) (b) P > [ marks] Tujukka bahawa X memuyai ciri tiada igata, iaitu bagi sebarag iteger da m, dega > m, P( X > X > m) = P( X > - m) [ markah] 4 X {,, } ad {, } Y are two discrete radom variables Their joit robability mass fuctio is give as follows: ( =, Y = ) = P( X Y ) ( =, Y = ) = P( X Y ) ( =, Y = ) = P( X Y ) =, = = 3 =, = = =, = = (a) What is the margial robability mass fuctio of Y? (b) Comute E[ XY ] (c) Comute the covariace of X ad Y (d) Are X ad Y ideedet radom variables? Justify your aswer 4 X {,, } da {, } [ marks] Y adalah dua embolehubah rawak diskret Fugsi jisim kebaragkalia tercatum mereka diberika seerti yag berikut: ( =, Y = ) = P( X Y ) ( =, Y = ) = P( X Y ) ( =, Y = ) = P( X Y ) =, = = 3 =, = = =, = = (a) Aakah fugsi jisim kebaragkalia sut Y? (b) Hitug E[ XY ] (c) Hitug kovarias X da Y (d) Adakah X da Y embolehubah rawak tak bersadar? Tetusahka jawaa ada [ markah] 4/-
4 - 4 - [MAT 63] 5 Suose that X ad Y are ideedet eoetial radom variables with arameter X λ If Z = X + Y (a) fid the distributio fuctio, F Z ( z), for < z < ; (b) fid the desity fuctio of Z ad ame the distributio [ marks] 5 Adaika X da Y adalah embolehubah rawak eoe dega arameter λ X Jika Z = X + Y (a) daatka fugsi tabura, F Z ( z), bagi < z < ; (b) daatka fugsi ketumata bagi Z da yataka ama tabura tersebut [ markah] 6 Let X ad Y be two ideedet radom variables, with resective robability desity fuctio f ( ) = e for > ad = y f y e for y > (a) Write the joit robability desity fuctio of X ad Y, f X, Y (, y) (b) Comute the robability P ( X Y > ) (c) Fid the distributio fuctio ( y) F X, Y, [ marks] 6 Fugsi ketumata tercatum X da Y diberika sebagai < < y < f (, y) = sebalikya (a) Daatka fugsi ketumata bersyarat X diberika Y = y, ( y) (b) Hitug P( X Y 3 ) < = 4 (c) Hitug E [ X Y = y] f X Y (d) Daatka E {[ X E( X Y = y)] Y = y} [ markah] 5/-
5 - 5 - [MAT 63] 7 The joit desity fuctio of X ad Y is give by < < y < f (, y) = otherwise (a) Fid the coditioal desity fuctio of X give Y = y, ( y) (b) Comute P( X Y 3 ) < = 4 (c) Comute E [ X Y = y] f X Y (d) Fid E {[ X E( X Y = y)] Y = y} [ marks] 7 Adaika X da Y adalah dua embolahubah rawak tak bersadar dega fugsi ketumata kebaragkalia masig-masig = bagi > f e da = y f y e bagi y > (a) Tuliska fugsi ketumata tercatum X da Y, f X, Y (, y) (b) Hitug kebaragkalia P ( X Y > ) (c) Daatka fugsi tabura ( y) F X, Y, [ markah] 8 Let X ad X be ideedet eoetial radom variables, each havig arameter λ (a) X Fid the joit desity fuctio of Y = X + X ad Y = X + X (b) Are Y ad Y ideedet? Justify your aswer [ marks] 8 Adaika X da X adalah embolehubah rawak eoe, setia satu dega arameter λ (a) Daatka fugsi ketumata tercatum bagi Y = X + X da Y = X X + X (b) Adakah Y da Y tak bersadar? Tetusahka jawaa ada [ markah] 6/-
6 - 6 - [MAT 63] 9 A biased coi is flied = times The robability of gettig a head (H) is a ukow value, Defie X i if heads aear = otherwise Let X = X i i= (a) Show that EX [ ] = ( - ) (b) Show that Var[ X ] = (c) Aroimate the robability that X (Hit: Use Cetral Limit Theorem) ( ) ( ) 5, + 5 [ marks] 9 Sekeig syilig tak saksama dilambug sebayak = times Kebaragkalia medaat suatu keala (K) ialah, suatu ilai yag tidak diketahui Takrifka X i = jika keala mucul sebalikya Adaika X = X i i= (a) Tujukka bahawa EX [ ] = ( - ) (b) Tujukka bahawa Var[ X ] = (c) Aggarka kebaragkalia bahawa X (Petujuk: Gua Teorem Had Memusat) ( ) ( ) 5, + 5 [ markah] 7/-
7 - 7 - [MAT 63] X i i= Let X = arameter, where the X i 's are ideedet eoetial radom variables of (a) Show that the momet geeratig fuctio of X is t ) E[ (b) Comute the momet geeratig fuctio of X, M ( t = e ] (c) Show that for ay a >, P( X > a) e M (t) (d) Give a uer boud of P(X > ) at tx [ marks] X i i= Adaika X = arameter, di maa X i adalah embolehubah rawak eoe dega (a) Tujukka bahawa fugsi ejaa mome bagi X ialah (b) Hitug fugsi ejaa mome bagi X, M ( t) = E[ e ] tx t (c) Tujukka bahawa bagi sebarag a >, P( X a) e M (t) (d) Berika suatu batas atas bagi P(X > ) at > [ markah]
8 - 8 - [MAT 63] APPEDIX / LAMPIRA Beroulli Biomial Geometric DISCRETE DISTRIBUTIOS t = + =, = ( ) f =, =, M t e µ σ egative Biomial Poisso! f ( ) = ( ), =,,,,!! ( ) t = ( + ) M t e, µ = σ = f =, =,,, M ( t) =, t < I t e ( ) µ, σ µ = = = ( + r )! ( r! ) ( ) t r ( ) e r( ) r( ) = =! r f =, =,,, r M t =, t < I µ, σ λ λ e f =, =,,,! t λ( e ) M t = e =, = µ λ σ λ Hiergeometric r f ( ) =, r,, r, t r r r µ =, σ = ( ) ( ) 9/-
9 - 9 - [MAT 63] Uiform Eoetial Gamma COTIUOUS DISTRIBUTIO f =, a b b a tb ta e e M( t) =, t, M( ) = t b ( a) ( b a) a+ b µ =, σ = θ f = e, θ M ( t) =, t < θ θt µ = θ, σ = θ α θ f e α M t Chi Square =, Γ α θ =, t < ( θt) α µ = αθ, σ = αθ r f r e, r M t ormal = Γ ( r ) =, t < r ( t ) µ = r σ =, µ t+ σ t = e, Var ( X ) r ( µ ) /σ f = e, < < σ π M t E X Beta = µ = σ = ( ),< < B α β f ( αβ, ) α αβ µ =, σ = α + β α + β + α + β /-
10 - - [MAT 63] FORMULA =! = = = = ar = e a =, r < r ba a b = + r = r r + k k w = ( w), w < k α ( α) e d ( α) ( α ) Γ =, Γ =! α ( αβ, ) = ( ) β B d B ( αβ, ) ( α) Γ( β) ( α β) = Γ Γ + 9 Polar coordiates: y = rcos θ z = rsi θ - ooo O ooo
11
MST 561 Statistical Inference [Pentaabiran Statistik]
UNIVERSITI SAINS MALAYSIA Secod Semester Examiatio 05/06 Academic Sessio Jue 06 MST 56 Statistical Ierece [Petaabira Statistik] Duratio : 3 hours [Masa : 3 jam] Please check that this examiatio paper cosists
More informationMAT 202 Introduction to Analysis [Pengantar Analisis]
UNIVERSITI SAINS MALAYSIA Secod Semester Examiatio 2015/2016 Academic Sessio Jue 2016 MAT 202 Itroductio to Aalysis [Pegatar Aalisis] Duratio : 3 hours [Masa : 3 jam] Please check that this examiatio paper
More informationMSG388 Mathematical Algorithms for Computer Graphics [Algoritma Matematik untuk Grafik Komputer]
UNIVERSITI SAINS MALAYSIA Secod Semester Examiatio 015/016 Academic Sessio Jue 016 MSG388 Mathematical Algorithms for Computer Graphics [Algoritma Matematik utuk Grafik Komputer] Duratio : 3 hours [Masa
More informationMAT 363 Statistical Inference [Pentaabiran Statistik]
UNIVERSITI SAINS MALAYSIA Peperiksaa Kursus Seasa Cuti Pajag Sidag Akadeik / Ogos MAT 363 Statistical Iferece [Petaabira Statistik] Duratio : 3 hours [Masa : 3 ja] Please check that this exaiatio paper
More informationMAA 102 Calculus for Science Student II [Kalkulus untuk Pelajar Sains II]
UNIVERSITI SAINS MALAYSIA Secod Semester Eamiatio 04/05 Academic Sessio Jue 05 MAA 0 Calculus for Sciece Studet II [Kalkulus utuk Pelajar Sais II] Duratio : hours [Masa : jam] Please check that this eamiatio
More informationMAT 263 Probability Theory [Teori Kebarangkalian]
UNIVERSITI SAINS MALAYSIA Secod Semeser Eamiaio 00/0 Academic Sessio Aril/May 0 MAT 63 Probabiliy Theory [Teori Kebaragkalia] Duraio : 3 hours [Masa : 3 jam] Please check ha his eamiaio aer cosiss of TWELVE
More informationMAT363 Statistical Inference [Pentaabiran Statistik]
UNIVERSITI SAINS MALAYSIA Frst Semester Examato Academc Sesso 05/06 Jauary 06 MAT363 Statstcal Iferece [Petaabra Statst] Durato : 3 hours [Masa : 3 jam] Please chec that ths examato paper cossts of SI
More informationMAT 263 Probability Theory [Teori Kebarangkalian]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 2016/2017 Academic Session June 2017 MAT 263 Probability Theory [Teori Kebarangkalian] Duration : 3 hours [Masa : 3 jam] Please check that this examination
More informationMAT 363 Statistical Inference [Pentaabiran Statistik]
UNIVERSITI SAINS MALAYSIA Frst Semester Eamato Academc Sesso / Jauary MAT 363 Statstcal Iferece [Petaabra Statstk] Durato 3 hours [Masa 3 jam] Please check that ths eamato paper cossts of EIGHT pages of
More informationMAT Calculus [Kalkulus]
UNIVERSITI SAINS MALAYSIA Second Semester Eamination 015/016 Academic Session June 016 MAT 101 - Calculus [Kalkulus] Duration : hours [Masa : jam] Please check that this eamination paper consists of EIGHT
More informationMST 561 Statistical Inference [Pentaabiran Statistik]
UNIVERSITI SAINS MALAYSIA Secod Semester Eamato 03/04 Academc Sesso Jue 04 MST 56 Statstcal Iferece [Petaabra Statstk] Durato : 3 hours [Masa : 3 jam] Please check that ths eamato paper cossts of NINE
More informationMGM 502 Number Theory [Teori Nombor]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 009/010 Academic Session Aril/May 010 MGM 50 Number Theory [Teori Nombor] Duration : 3 hours [Masa : 3 jam] Please check that this examination aer
More informationMAT 111 Linear Algebra [Aljabar Linear]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 0/0 Academic Session June 0 MAT Linear Algebra [Aljabar Linear] Duration : hours [Masa : jam] Please check that this examination paper consists of
More informationMST 565 Linear Model [Model Linear]
UNIVERSITI SINS MLYSI Second Semester Examination 009/00 cademic Session pril/may 00 MST 565 Linear Model [Model Linear] Duration : 3 hours [Masa : 3 jam] Please check that this examination paper consists
More informationMAT 101 Calculus [ Kalkulus]
UNIVERSITI SAINS MALAYSIA Peperiksaan Kursus Semasa Cuti Panjang 01/013 Sidang Akademik Ogos 013 MAT 101 Calculus [ Kalkulus] Duration : 3 hours [Masa : 3 jam] Please check that this eamination paper consists
More informationMAT 223 DIFFERENTIAL EQUATIONS I [Persamaan Pembezaan I]
UNIVERSITI SAINS MALAYSIA First Semester Examination 2015/2016 Academic Session December 2015/January2016 MAT 223 DIFFERENTIAL EQUATIONS I [Persamaan Pembezaan I] Duration : 3 hours [Masa : 3 jam] Please
More informationMAT 202 Introduction to Analysis [ Pengantar Analisis]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 2016/2017 Academic Session June 2017 MAT 202 Introduction to Analysis [ Pengantar Analisis] Duration : 3 hours [Masa : 3 jam] Please check that this
More information= p x (1 p) 1 x. Var (X) =p(1 p) M X (t) =1+p(e t 1).
Prob. fuctio:, =1 () = 1, =0 = (1 ) 1 E(X) = Var (X) =(1 ) M X (t) =1+(e t 1). 1.1.2 Biomial distributio Parameter: 0 1; >0; MGF: M X (t) ={1+(e t 1)}. Cosider a sequece of ideedet Ber() trials. If X =
More informationMSG 284 Introduction to Geometric Modelling [Pengenalan kepada Pemodelan Geometri]
UNIVERSITI SAINS MALAYSIA Secod Semester Examato / Academc Sesso Jue MSG 84 Itroducto to Geometrc Modellg [Pegeala kepada Pemodela Geometr] Durato : hours [Masa : jam] Please check that ths examato paper
More informationMAT 111 Linear Algebra [Aljabar Linear]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 00/0 Academic Session November 00 MAT Linear Algebra [Aljabar Linear] Duration : hours [Masa : jam] Please check that this examination paper consists
More informationMAA 111 Algebra for Science Students [Aljabar untuk Pelajar Sains]
UNIVERSITI SAINS MALAYSIA Peperiksaan Kursus Semasa Cuti Panjang Sidang Akademik 9/ Jun MAA Algebra for Science Students [Aljabar untuk Pelajar Sains] Duration : hours [Masa : jam] Please check that this
More informationMAT 100 Foundation Mathematics [Asas Matematik]
UNIVERSITI SAINS MALAYSIA First Semester Examination Academic Session 015/016 December 015/January 016 MAT 100 Foundation Mathematics [Asas Matematik] Duration : 3 hours [Masa : 3 jam] Please check that
More informationMSS 317 Coding Theory [Teori Pengekodan]
UNIVERSITI SAINS MALAYSIA First Semester Examination Academic Session 2015/2016 January 2016 MSS 31 Coding Theory [Teori Pengekodan] Duration : 3 hours [Masa : 3 jam] Please check that this examination
More informationIIT JAM Mathematical Statistics (MS) 2006 SECTION A
IIT JAM Mathematical Statistics (MS) 6 SECTION A. If a > for ad lim a / L >, the which of the followig series is ot coverget? (a) (b) (c) (d) (d) = = a = a = a a + / a lim a a / + = lim a / a / + = lim
More informationMST561 Statistical Inference [Pentaabiran Statistik]
UNIVERSITI SAINS MALAYSIA Frst Semester Examato Academc Sesso 5/6 Jauary 6 MST56 Statstcal Iferece [Petaabra Statst] Durato : 3 hours [Masa : 3 jam] Please chec that ths examato paper cossts of NINE pages
More informationMAT 363 Statistical Inference [Pentaabiran Statistik]
UNIVERSITI SAINS MALAYSIA Frst Seester Exaato 009/00 Acadec Sesso Noveber 009 MAT 363 Statstcal Iferece [Petaabra Statstk] Durato : 3 hours [Masa : 3 ja] Please check that ths exaato paper cossts of EIGHT
More informationMAT111 Linear Algebra [Aljabar Linear]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 2016/2017 Academic Session June 2017 MAT111 Linear Algebra [Aljabar Linear] Duration : 3 hours [Masa : 3 jam] Please check that this examination paper
More informationMST 565 Linear Models [Model Linear]
UNIVERSITI SAINS MALAYSIA Secod Semester Examato 04/05 Academc Sesso Jue 05 MST 565 Lear Models [Model Lear] Durato : 3 hours [Masa : 3 jam] Please check that ths examato paper cossts of TEN pages of prted
More informationMSG 356 Mathematical Programming [Pengaturcaraan Matematik]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 2011/2012 Academic Session June 2012 MSG 356 Mathematical Programming [Pengaturcaraan Matematik] Duration : 3 hours [Masa : 3 jam] Please check that
More informationMAT 101 Calculus [ Kalkulus] Duration : 3 hours [Masa : 3 jam]
UNIVERSITI SAINS MALAYSIA Peperiksaan Semester Pertama Sidang Akademik 011/01 Januari 01 MAT 101 Calculus [ Kalkulus] Duration : 3 hours [Masa : 3 jam] Please check that this eamination paper consists
More informationMAA Calculus for Science Students I [Kalkulus untuk Pelajar Sains I]
UNIVERSITI SAINS MALAYSIA First Semester Eamination Academic Session 6/7 December 6 / January 7 MAA - Calculus for Science Students I [Kalkulus untuk Pelajar Sains I] Duration : 3 hours [Masa : 3 jam]
More informationMAT 518 Numerical Methods for Differential Equations [Kaedah Berangka untuk Persamaan Pembezaan]
UNIVERSII SAINS MALAYSIA First Semester Examination 0/03 Academic Session January 03 MA 58 Numerical Methods for Differential Equations [Kaedah Berangka untuk Persamaan Pembezaan] Duration : 3 hours [Masa
More informationMathematical Statistics - MS
Paper Specific Istructios. The examiatio is of hours duratio. There are a total of 60 questios carryig 00 marks. The etire paper is divided ito three sectios, A, B ad C. All sectios are compulsory. Questios
More informationAMS570 Lecture Notes #2
AMS570 Lecture Notes # Review of Probability (cotiued) Probability distributios. () Biomial distributio Biomial Experimet: ) It cosists of trials ) Each trial results i of possible outcomes, S or F 3)
More informationThis section is optional.
4 Momet Geeratig Fuctios* This sectio is optioal. The momet geeratig fuctio g : R R of a radom variable X is defied as g(t) = E[e tx ]. Propositio 1. We have g () (0) = E[X ] for = 1, 2,... Proof. Therefore
More information7/ Additioal Mathematics Paper September 00 Jam NAMA :. TINGKATAN :. PEPERIKSAAN PERCUBAAN BERSAMA SIJIL PELAJARAN MALAYSIA 00 ANJURAN BERSAMA PERSIDANGAN KEBANGSAAN PENGETUA-PENGETUA SEKOLAH MENENGAH
More informationSULIT /. This questio paper cosists of questios. Kertas soala ii megadugi soala.. Aswer all questios. Jawab semua soala.. Give ol oe aswer for each qu
SULIT / NAMA ANGKA GILIRAN PEPERIKSAAN PERCUBAAN SPM TAHUN 9 / ADDITIONAL MATHEMATICS Kertas September 9 jam Dua jam JANGAN BUKA KERTAS SOALAN INI SEHINGGA DIBERITAHU. Kertas soala ii adalah dalam dwibahasa..
More informationMAA 101 Calculus for Science Students I [Kalkulus untuk Pelajar Sains I]
UNIVERSITI SAINS MALAYSIA Peperiksaan Kursus Semasa Cuti Panjang Sidang Akademik 9/ Jun MAA Calculus for Science Students I [Kalkulus untuk Pelajar Sains I] Duration : 3 hours [Masa : 3 jam] Please check
More information4. Partial Sums and the Central Limit Theorem
1 of 10 7/16/2009 6:05 AM Virtual Laboratories > 6. Radom Samples > 1 2 3 4 5 6 7 4. Partial Sums ad the Cetral Limit Theorem The cetral limit theorem ad the law of large umbers are the two fudametal theorems
More informationUNIVERSITI SAINS MALAYSIA. Second Semester Examination Academic Session 2004/2005. March 2005 MGM ANALYSIS [ANA LISIS]
UNIVERSITI SAINS MALAYSIA Second Semester Examination Academic Session 2004/2005 March 2005 MGM 501 - ANALYSIS [ANA LISIS] Duration : 3 hours [Masa : 3 jam] Please check that this examination paper consists
More informationMST 562 Stochastic Processes [Proses Stokastik]
UNIVERSITI SAINS MALAYSIA First Semester Examination 2010/2011 Academic Session November 2010 MST 562 Stochastic Processes [Proses Stokastik] Duration : 3 hours [Masa : 3 jam] Please check that this examination
More informationProbability and statistics: basic terms
Probability ad statistics: basic terms M. Veeraraghava August 203 A radom variable is a rule that assigs a umerical value to each possible outcome of a experimet. Outcomes of a experimet form the sample
More informationThis exam contains 19 pages (including this cover page) and 10 questions. A Formulae sheet is provided with the exam.
Probability ad Statistics FS 07 Secod Sessio Exam 09.0.08 Time Limit: 80 Miutes Name: Studet ID: This exam cotais 9 pages (icludig this cover page) ad 0 questios. A Formulae sheet is provided with the
More informationMGM 562 Probability Theory [Teori Kebarangkalian]
UNIVERSITI SAINS MALAYSIA Second Semeser Examinaion 014/015 Academic Session June 015 MGM 56 Probabiliy Theory [Teori Kebarangkalian] Duraion : 3 hours [Masa : 3 jam] Please check ha his examinaion aer
More informationMGM 531 Euclidean Geometry [Geometri Euklidan]
UNIVERSITI SINS MLYSI First Semester Examination cademic Session 2015/2016 January 2016 MGM 531 Euclidean Geometry [Geometri Euklidan] Duration : 3 hours [Masa : 3 jam] Please check that this examination
More informationMSG 284 Introduction to Geometric Modelling [Pengenalan kepada Pemodelan Geometri]
UNIVERSITI SAINS MALAYSIA Secod Semester Examato 0/0 Academc Sesso Jue 0 MSG 84 Itrocto to Geometrc Modellg [Pegeala kepada Pemodela Geometr] Durato : hours [Masa : jam] Please check that ths examato paper
More informationMSG Multivariate Analysis [Analisis Multivariat]
UNIVERSITI SAINS MALAYSIA Secod Semester Examiatio 016/017 Academic Sessio Jue 017 MSG 466 - Multivariate Aalysis [Aalisis Multivariat] Duratio : 3 hours [Masa : 3 jam] Please check that this examiatio
More informationMSG 389 Engineering Computation II [Pengiraan Kejuruteraan II]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 2014/2015 Academic Session June 2015 MSG 389 Engineering Computation II [Pengiraan Kejuruteraan II] Duration : 3 hours [Masa : 3 jam] Please check
More informationJKE Ekonomi Kuantitatif
Agka Gilira : UNIVERSITI SAINS MALAYSIA Peperiksaa Kursus Semasa Cuti Pajag Sidag Akademik 00/003 April/Mei 003 JKE 316 - Ekoomi Kuatitatif Masa : 3 jam Sila pastika bahawa kertas peperiksaa ii megadugi
More informationMST 565 Linear Models [Model Linear]
UNIVERSITI SAINS MALAYSIA Second Semester Eamination 05/06 Academic Session June 06 MST 565 Linear Models [Model Linear] Duration : hours [Masa : jam] Please check that this eamination paper consists of
More informationEEM 423 KEJURUTERAAN KEBOLEHPERCAYAAN
UNIVERSITI SAINS MALAYSIA Peperiksaan Semester Pertama Sidang Akademik 2010/2011 November 2010 EEM 423 KEJURUTERAAN KEBOLEHPERCAYAAN Masa : 3 jam ARAHAN KEPADA CALON: Sila pastikan bahawa kertas peperiksaan
More informationENGI 4421 Discrete Probability Distributions Page Discrete Probability Distributions [Navidi sections ; Devore sections
ENGI 441 Discrete Probability Distributios Page 9-01 Discrete Probability Distributios [Navidi sectios 4.1-4.4; Devore sectios 3.4-3.6] Chater 5 itroduced the cocet of robability mass fuctios for discrete
More informationParameter, Statistic and Random Samples
Parameter, Statistic ad Radom Samples A parameter is a umber that describes the populatio. It is a fixed umber, but i practice we do ot kow its value. A statistic is a fuctio of the sample data, i.e.,
More informationMAT 222 Differential Equations II [Persamaan Pembezaan II]
- 1 - UNIVERSITI SAINS MALAYSIA First Semester Examination 015/016 Academic Session December 015/January016 MAT Differential Equations II [Persamaan Pembezaan II] Duration : 3 hours [Masa : 3 jam] Please
More informationMAT 161 Elementary Statistics [Statistik Permulaan]
UNIVERSITI SAINS MALASIA Firt Semeter Eamiatio 0506 Academic Seio December 05Jauar 06 MAT 6 Elemetar Statitic [Statitik Permulaa] Duratio : 3 hour [Maa : 3 jam] Pleae check that thi eamiatio aer coit of
More informationUNIVERSITI SAINS MALAYSIA. CPT115 Mathematical Methods for Computer Science [Kaedah Matematik bagi Sains Komputer]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 2014/2015 Academic Session June 2015 CPT115 Mathematical Methods for Computer Science [Kaedah Matematik bagi Sains Komputer] Duration : 2 hours [Masa:
More informationUNIVERSITI SAINS MALAYSIA
-1- [EUM 114/3] UNIVERSITI SAINS MALAYSIA Second Semester Examination 2015/2016 Academic Session June 2016 EUM 114/3 KALKULUS KEJURUTERAAN LANJUTAN [ADVANED ENGINEERING ALULUS] Duration : 3 hours [Masa
More informationMAT Linear Algebra [Aljabar Linear]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 2014/2015 Academic Session June 2015 MAT 111 - Linear Algebra [Aljabar Linear] Duration : hours [Masa : jam] Please check that this examination paper
More informationUnbiased Estimation. February 7-12, 2008
Ubiased Estimatio February 7-2, 2008 We begi with a sample X = (X,..., X ) of radom variables chose accordig to oe of a family of probabilities P θ where θ is elemet from the parameter space Θ. For radom
More informationEME 411 Numerical Methods For Engineers [Kaedah Berangka Untuk Jurutera]
-1- [EMH 451/3] UNIVERSITI SAINS MALAYSIA First Semester Examination 2014/2015Academic Session December 2014 / January 2015 EME 411 Numerical Methods For Engineers [Kaedah Berangka Untuk Jurutera] Duration
More informationIE 230 Seat # Name < KEY > Please read these directions. Closed book and notes. 60 minutes.
IE 230 Seat # Name < KEY > Please read these directios. Closed book ad otes. 60 miutes. Covers through the ormal distributio, Sectio 4.7 of Motgomery ad Ruger, fourth editio. Cover page ad four pages of
More informationUNIVERSITI SAINS MALAYSIA. CCS513 Computer Vision and Image Analysis [Penglihatan Komputer dan Analisis Imej]
UNIVERSITI SAINS MALAYSIA First Semester Examination 2016/2017 Academic Session December 2016 / January 2017 CCS513 Computer Vision and Image Analysis [Penglihatan Komputer dan Analisis Imej] Duration
More informationAppendix A: Mathematical Formulae and Statistical Tables
Aedi A: Mathematical Formulae ad Statistical Tables Pure Mathematics Mesuratio Surface area of shere = r Area of curved surface of coe = r J slat height Trigoometry a * b & c ' bc cos A Arithmetic Series
More informationSULIT 347/ 347/ Matematik Tambaha Kertas Ogos 00 ½ jam PERSIDANGAN KEBANGSAAN PENGETUA-PENGETUA SEKOLAH MENENGAH MALAYSIA CAWANGAN NEGERI SEMBILAN DARUL KHUSUS PEPERIKSAAN PERCUBAAN SIJIL PELAJARAN MALAYSIA
More informationIEK 108 PROCESS FLUID MECHANICS [MEKANIK BENDALIR PROSES]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 2009/2010 Academic Session April/May 2010 IEK 108 PROCESS FLUID MECHANICS [MEKANIK BENDALIR PROSES] Duration: 3 hours Masa: [3 jam] Please check that
More informationUNIVERSITI SAINS MALAYSIA. CIT562 Bioinformatics Computing [Perkomputeran Bioinformatik]
UNIVERSITI SAINS MALAYSIA First Semester Examination 2015/2016 Academic Session December 2015/January 2016 CIT562 Bioinformatics Computing [Perkomputeran Bioinformatik] Duration : 2 hours [Masa : 2 jam]
More informationIE 230 Probability & Statistics in Engineering I. Closed book and notes. No calculators. 120 minutes.
Closed book ad otes. No calculators. 120 miutes. Cover page, five pages of exam, ad tables for discrete ad cotiuous distributios. Score X i =1 X i / S X 2 i =1 (X i X ) 2 / ( 1) = [i =1 X i 2 X 2 ] / (
More informationConfidence Intervals
Cofidece Itervals Berli Che Deartmet of Comuter Sciece & Iformatio Egieerig Natioal Taiwa Normal Uiversity Referece: 1. W. Navidi. Statistics for Egieerig ad Scietists. Chater 5 & Teachig Material Itroductio
More informationPRACTICE PROBLEMS FOR THE FINAL
PRACTICE PROBLEMS FOR THE FINAL Math 36Q Fall 25 Professor Hoh Below is a list of practice questios for the Fial Exam. I would suggest also goig over the practice problems ad exams for Exam ad Exam 2 to
More informationIEK 108 PROCESS FLUID MECHANICS [MEKANIK BENDALIR PROSES]
UNIVERSITI SAINS MALAYSIA Supplementary Semester Examination Academic Session 2010/2011 June 2011 IEK 108 PROCESS FLUID MECHANICS [MEKANIK BENDALIR PROSES] Duration: 3 hours Masa: [3 jam] Please check
More information( ) = is larger than. the variance of X V
Stat 400, sectio 6. Methods of Poit Estimatio otes by Tim Pilachoski A oit estimate of a arameter is a sigle umber that ca be regarded as a sesible value for The selected statistic is called the oit estimator
More information17. Joint distributions of extreme order statistics Lehmann 5.1; Ferguson 15
17. Joit distributios of extreme order statistics Lehma 5.1; Ferguso 15 I Example 10., we derived the asymptotic distributio of the maximum from a radom sample from a uiform distributio. We did this usig
More informationMSG 389 Engineering Computation II [Pengiraan Kejuruteraan II]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 2012/2013 Academic Session June 2013 MSG 389 Engineering Computation II [Pengiraan Kejuruteraan II] Duration : 3 hours [Masa : 3 jam] Please check
More informationSTATISTICAL METHODS FOR BUSINESS
STATISTICAL METHODS FOR BUSINESS UNIT 5. Joit aalysis ad limit theorems. 5.1.- -dimesio distributios. Margial ad coditioal distributios 5.2.- Sequeces of idepedet radom variables. Properties 5.3.- Sums
More informationZCT 104E/3 - Fizik IV (Fizik Moden)
UNIVERSITI SAINS MALAYSIA Peperiksaan Semester Kedua Sidang Akademik 2002/2003 Februari - Mac 2003 ZCT 104E/3 - Fizik IV (Fizik Moden) Masa : 3 jam Sila pastikan bahawa kertas peperiksaan ini mengandungi
More informationEEE 208 TEORI LITAR II
UNIVERSITI SAINS MALAYSIA Peperiksaan Semester Pertama Sidang Akademik 2010/2011 November 2010 EEE 208 TEORI LITAR II Masa : 3 jam ARAHAN KEPADA CALON: Sila pastikan bahawa kertas peperiksaan ini mengandungi
More informationClosed book and notes. No calculators. 60 minutes, but essentially unlimited time.
IE 230 Seat # Closed book ad otes. No calculators. 60 miutes, but essetially ulimited time. Cover page, four pages of exam, ad Pages 8 ad 12 of the Cocise Notes. This test covers through Sectio 4.7 of
More informationExponential Families and Bayesian Inference
Computer Visio Expoetial Families ad Bayesia Iferece Lecture Expoetial Families A expoetial family of distributios is a d-parameter family f(x; havig the followig form: f(x; = h(xe g(t T (x B(, (. where
More informationProblems from 9th edition of Probability and Statistical Inference by Hogg, Tanis and Zimmerman:
Math 224 Fall 2017 Homework 4 Drew Armstrog Problems from 9th editio of Probability ad Statistical Iferece by Hogg, Tais ad Zimmerma: Sectio 2.3, Exercises 16(a,d),18. Sectio 2.4, Exercises 13, 14. Sectio
More informationUNIVERSITI SAINS MALAYSIA EEE 354 SISTEM KAWALAN DIGIT
UNIVERSITI SAINS MALAYSIA Peperiksaan Semester Kedua Sidang Akademik 2010/2011 April/Mei 2011 EEE 354 SISTEM KAWALAN DIGIT Masa : 3 Jam Sila pastikan bahawa kertas peperiksaan ini mengandungi SEPULUH muka
More informationMAT Elementary Statistics [Statistik Permulaan]
UNIVERSITI SAINS MALAYSIA Secod Semeter Eamiatio 06/07 Academic Seio Jue 07 MAT 6 - Elemetar Statitic [Statitik Permulaa] Duratio : 3 hour [Maa : 3 jam] Pleae check that thi eamiatio aer coit of ELEVEN
More informationUNIVERSITI SAINS MALAYSIA EEM 352 REKABENTUK MEKATRONIK II
UNIVERSITI SAINS MALAYSIA Peperiksaan Semester Pertama Sidang Akademik 2010/2011 November 2010 EEM 352 REKABENTUK MEKATRONIK II Masa : 2 Jam Sila pastikan bahawa kertas peperiksaan ini mengandungi TUJUH
More informationMSG 389 Engineering Computation II [Pengiraan Kejuruteraan II]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 2015/2016 Academic Session June 2016 MSG 389 Engineering Computation II [Pengiraan Kejuruteraan II] Duration : 3 hours [Masa : 3 jam] Please check
More informationCPT115 Mathematical Methods for Computer Sciences [Kaedah Matematik bagi Sains Komputer]
Second Semester Examination 6/7 Academic Session June 7 CPT Mathematical Methods for Computer Sciences [Kaedah Matematik bagi Sains Komputer] Duration : hours [Masa : jam] INSTRUCTIONS TO CANDIDATE: [ARAHAN
More informationUNIVERSITI SAINS MALAYSIA
UNIVERSITI SAINS MALAYSIA First Semester Examination Academic Session 2010/2011 November 2010 EBS 201/3 - Mineral Deposits [Mendapan Mineral] Duration : 3 hours [Masa : 3 jam] Please ensure that this examination
More informationSMK DATUK HAJI ABDUL KADIR KEPALA BATAS PULAU PINANG PERCUBAAN SPM 2017 MATEMATIK TAMBAHAN KERTAS 2. Dua jam tiga puluh minit
NAMA : TINGKATAN : / MATEMATIK TAMBAHAN Kertas September 0 jam SMK DATUK HAJI ABDUL KADIR KEPALA BATAS PULAU PINANG PERCUBAAN SPM 0 MATEMATIK TAMBAHAN KERTAS Dua jam tiga puluh miit JANGAN BUKA KERTAS
More informationIUK 191E - Mathematic I [Matematik I]
UNIVERSITI SAINS MALAYSIA Supplementary Semester Examination Academic Session 2005/2006 June 2006 IUK 191E - Mathematic I [Matematik I] Duration: [Masa : 3 hours 3jam] Please check that this examination
More informationUNIVERSITI SAINS MALAYSIA. Supplementary Semester Examination Academic Session 2004/2005. May IUK 291E - Mathematic I1 [Matematik II]
UNIVERSITI SAINS MALAYSIA Supplementary Semester Examination Academic Session 2004/2005 May 2005 IUK 291E - Mathematic I1 [Matematik II] Duration: 3 hours [Masa: 3jamJ Please check that this examination
More informationFinal Review for MATH 3510
Fial Review for MATH 50 Calculatio 5 Give a fairly simple probability mass fuctio or probability desity fuctio of a radom variable, you should be able to compute the expected value ad variace of the variable
More informationIWK 302 WOOD ENGINEERING [KEJURUTERAAN KAYU]
UNIVERSITI SAINS MALAYSIA Second Semester Examination 2010/2011 Academic Session April/May 2011 IWK 302 WOOD ENGINEERING [KEJURUTERAAN KAYU] Duration: 3 hours Masa: [3 jam] Please check that this examination
More informationDiscrete Probability Functions
Discrete Probability Fuctios Daiel B. Rowe, Ph.D. Professor Departmet of Mathematics, Statistics, ad Computer Sciece Copyright 017 by 1 Outlie Discrete RVs, PMFs, CDFs Discrete Expectatios Discrete Momets
More informationEEE REKABENTUK SISTEM KAWALAN
UNIVERSITI SAINS MALAYSIA Peperiksaan Semester Pertama Sidang Akademik 2003/2004 September/Oktober 2003 EEE 453 - REKABENTUK SISTEM KAWALAN Masa: 3 Jam SUa pastikan kertas peperiksaan ini mengandungi SEBELAS
More informationChapter 6 Principles of Data Reduction
Chapter 6 for BST 695: Special Topics i Statistical Theory. Kui Zhag, 0 Chapter 6 Priciples of Data Reductio Sectio 6. Itroductio Goal: To summarize or reduce the data X, X,, X to get iformatio about a
More informationSTAT Homework 1 - Solutions
STAT-36700 Homework 1 - Solutios Fall 018 September 11, 018 This cotais solutios for Homework 1. Please ote that we have icluded several additioal commets ad approaches to the problems to give you better
More informationNotation List. For Cambridge International Mathematics Qualifications. For use from 2020
Notatio List For Cambridge Iteratioal Mathematics Qualificatios For use from 2020 Notatio List for Cambridge Iteratioal Mathematics Qualificatios (For use from 2020) Mathematical otatio Eamiatios for CIE
More informationBasics of Inference. Lecture 21: Bayesian Inference. Review - Example - Defective Parts, cont. Review - Example - Defective Parts
Basics of Iferece Lecture 21: Sta230 / Mth230 Coli Rudel Aril 16, 2014 U util this oit i the class you have almost exclusively bee reseted with roblems where we are usig a robability model where the model
More informationEECS564 Estimation, Filtering, and Detection Hwk 2 Solns. Winter p θ (z) = (2θz + 1 θ), 0 z 1
EECS564 Estimatio, Filterig, ad Detectio Hwk 2 Sols. Witer 25 4. Let Z be a sigle observatio havig desity fuctio where. p (z) = (2z + ), z (a) Assumig that is a oradom parameter, fid ad plot the maximum
More informationAdvanced Engineering Mathematics Exercises on Module 4: Probability and Statistics
Advaced Egieerig Mathematics Eercises o Module 4: Probability ad Statistics. A survey of people i give regio showed that 5% drak regularly. The probability of death due to liver disease, give that a perso
More informationIMK 308 Food Preservation Principles [Prinsip Pengawetan Makanan]
UNIVERSITI SAINS MALAYSIA Supplementary Semester Examination Academic Session 2008/2009 June 2009 IMK 308 Food Preservation Principles [Prinsip Pengawetan Makanan] Duration: 3 hours [Masa: 3 jam] Please
More informationJurnal Teknologi THE SQUARED COMMUTATIVITY DEGREE OF DIHEDRAL GROUPS. Full Paper
Jural Tekologi THE SQUARE COMMUTATIVITY EREE OF IHERAL ROUPS Muhaizah Abdul Hamid a, Nor Muhaiiah Mohd Ali a*, Nor Haiza Sarmi a, Ahmad Erfaia b, Fadila Normahia Abd Maaf a a epartmet of Mathematical Scieces,
More information