Getting Started September 2007

Size: px
Start display at page:

Download "Getting Started September 2007"

Transcription

1 Gettg Strted Septemer 007 GCE Mthemtcs Edecel Advced Susdr GCE Mthemtcs (837) Edecel Advced Susdr GCE Further Mthemtcs (837) Edecel Advced Susdr GCE Pure Mthemtcs (8373) Edecel Advced Susdr GCE Further Mthemtcs (Addtol) (8374) Frst emto 009 Edecel Advced GCE Mthemtcs (937) Edecel Advced GCE Further Mthemtcs (937) Edecel Advced GCE Pure Mthemtcs (9373) Edecel Advced GCE Further Mthemtcs (Addtol) (9374) Frst emto 009

2 Edecel GCE e-spec Your free e-spec Everthg ou eed oe CD Es-to-use

3 Cotets Gettg strted for techers Itroducto Wht s ew? Course overvews 3 Formule Booklet 4Gettg strted for studets Studet Gude 44 Edecel GCE Mthemtcs Edecel Lmted 007 Gettg Strted

4

5 Itroducto Itroducto Ths Gettg Strted ook wll gve ou overvew of the ew Edecel GCE Mthemtcs d wht t mes for ou d our studets. Ke prcples The specfcto hs ee developed wth the followg ke prcples: Focus o choce 8 uts tested full wrtte emto All uts equll weghted, llowg m dfferet comtos of uts d greter flelt Choce of pthws ledg to full Advced Susdr (AS) d Advced (A level) GCE Mthemtcs, Further Mthemtcs, Pure Mthemtcs d Further Mthemtcs (Addtol), so ou c choose the most pproprte pthw for our studets Well supported Pst ppers, specme ppers, emer reports d further support mterls vlle A vret of edorsed electroc support mterl, cludg Em Wzrd, Topc Tutor d Em Tutor Edorsed tetooks d revso ooks, s well s formto o how to mp updted uts to curret tetooks Susttl professol developmet d trg progrmme Strghtforwrd ssessmet Oe wrtte emto per ut Ech emto pper lsts hour 30 mutes Ech emto pper hs 75 mrks Clcultors c e used for ll ut emtos ecept C Edecel GCE Mthemtcs Gettg Strted

6 Wht s ew? Wht s ew? Ths specfcto s ver smlr to the prevous specfcto, ut cludes ew Decso Mthemtcs ut cotet d updted Further Pure Mthemtcs ut cotet. I summr, ths specfcto offers: No chge to Core, Mechcs or Sttstcs ut cotet Updted Decso Mthemtcs d Decso Mthemtcs uts, gvg more lced pproch to the cotet Updted Further Pure Mthemtcs ut for techg the frst er of stud Updted Further Pure Mthemtcs d Further Pure Mthemtcs 3 uts to offer coheret currculum Further Mthemtcs Edecel GCE Mthemtcs Gettg Strted

7 Course overvews Course overvews These course overvews hve ee developed to help ou pl the orgsto d delver of the course. Core mthemtcs: C to C4 progresso C. Alger d fuctos. Coordte geometr the (, ) ple 3. Sequeces d seres 4. Dfferetto 5. Itegrto C 4. Trgoometr. Coordte geometr the (, ) ple. Alger d fuctos 5. Epoetls d logrthms 3. Sequeces d seres 6. Dfferetto 7. Itegrto C3. Alger d fuctos 3. Epoetls d logrthms. Trgoometr 5. Numercl methods 4. Dfferetto C4. Coordte geometr the (, ) ple. Alger d fuctos 4. Dfferetto 6. Vectors 5. Itegrto 3. Sequeces d seres Edecel GCE Mthemtcs Gettg Strted 3

8 Course overvews Mechcs progresso M Fclt lgerc mpulto d the lt to solve ler, qudrtc d smulteous equtos s specfed C s essetl prerequste for ths ut. Prgrph Descrpto Prerequstes Modellg Noe Kemtcs C Prgrph, Alger 3 Vectors C Prgrph, Alger 4 Dmcs Mometum & mpulse 5 Sttcs of prtcle (Dmcs wth = 0) C C Prgrph, Alger Prgrph, Alger 6 Momets C Prgrph, Alger M Kowledge of the M specfcto d the lger, trgoometr, dfferetto d tegrto s specfed C d C re essetl for ths ut. Prgrph Descrpto Prerequstes Projectles M Prgrph 3 Kemtcs wth vrle veloct/ccelerto C Prgrph 4, 5 C Prgrph 6, 7 Cetres of mss M Prgrph 6 3 Work d eerg M Prgrph 4, 5 4 Collsos M Prgrph 4 Mometum & mpulse 5 Sttcs of rgd odes M Prgrph 5, 6 4 Edecel GCE Mthemtcs Gettg Strted

9 Course overvews M3 Kowledge of the M d M specfctos d the dfferetto, tegrto d dfferetl equtos s specfed C, C d C3 re essetl for ths ut. Prgrph Descrpto Prerequstes Elstc strgs d sprgs M Prgrph 3 4 Moto crcle Horzotl crcles Vertcl crcles 5 Cetres of mss of rgd odes Sttcs of rgd odes M3 Prgrph M Prgrph M Prgrph 5 Further kemtcs M Prgrph Soluto of dfferetl equtos s specfed o C, C d C3 3 Vrle force Smple Hrmoc Moto M3 Prgrph M4 Kowledge of the M, M d M3 specfctos d the clculus o FP together wth d + ; d + re essetl for ths ut. Prgrph Descrpto Prerequstes Elstc collsos D M Prgrph 4 3 Further prtcle moto strght le FP Prgrph 5, 6 M3 Prgrph 4 Stlt M Prgrph 3 M3 Prgrph C3 Prgrph 4 Reltve moto M Prgrph C4 Prgrph 6 M5 Kowledge of the M, M, M3 d M4 specfctos, the clculus o FP d the sclr d vector products re essetl for ths ut. Prgrph Descrpto Prerequstes Applcto of vectors FP Prgrph 5, 6 M Prgrph 3 C3 Prgrph 4 FP3 Prgrph 3 3 Momets of ert Itegrto o C to 4 4 Rotto out fed s M3 Prgrph 4 M4 Prgrph 3 Vrle mss M Prgrph 4 (Mometum & mpulse) FP Prgrph 5, 6 Edecel GCE Mthemtcs Gettg Strted 5

10 Course overvews Sttstcs progresso S Prgrph Topc Prerequstes Notes Mthemtcl modellg C e strtg pot ut usull etter looked t towrds the ed, s overvew of the cotet. Represetto d summr of dt Uderstdg of otto from C Sesle strtg pot. There re lks to GCSE e.g. the dgrms, me, med etc. Suggest leve codg utl Prgrph 5. 3 Prolt A good ltertve strtg pot. Ag lks to GCSE lthough stle m e dfferet d P(A B) s ew. 4 Correlto Me d stdrd devto from S Prgrph 4 Regresso S d S etc from S Prgrph 4 d Prgrph Coordte geometr of strght le from C 5 5 5c Dscrete prolt dstrutos Me d vrce of dscrete rdom vrles Dscrete uform dstruto Prolt from S Prgrph 3 Me d vrce from S Prgrph Arthmetc seres des from C c e useful here. 6 Norml dstruto Me d stdrd devto d hstogrms from S Prgrph Prolt from S Prgrph 3 Totl prolt = from S Prgrph 5 Suggest use E(X + ) d Vr(X +) formul to del wth codg. Ths topc s ofte left utl the ed d cddtes fd t chllegg. Possle Routes through S 6: Mtches the specfcto order d some tet ooks ut levg orml dstruto to the ed, some studets m ot grsp ths cotet full., 3, 5, 6, 4, : Correlto d regresso ol deped o the me d stdrd devto mterl d so c e left utl the ed. Prolt followed prolt dstrutos does t sut everoe s tste. 3,, 5, 6, 4, : Ths splts up the prolt d rgs the orml dstruto work lttle erler. There re other possle vrtos. 6 Edecel GCE Mthemtcs Gettg Strted

11 Course overvews S Prgrph Topc Prerequstes Notes Boml dstruto Dscrete prolt dstrutos from S Prgrph 5 Boml theorem from C Posso dstruto Evluto of e o oml for ppromtos from S Prgrph S Prgrph 5 Cotuous rdom vrles Clculus d cocept of re uder curve d m/m from C/C Prllels wth dscrete dstrutos from S Prgrph 5 d orml dstrutos from S Prgrph 6 A good strtg pot provded work from C hs ee covered. A resole ltertve strtg pot. Depeds o lter work C though. M d m s ol eeded for some mode questos. 3 Cotuous dstrutos S Prgrph Rectgulr dstruto should e compred wth dscrete uform dstruto. 3 Norml ppromtos Norml dstruto from S Prgrph 6 d S Prgrph d 4 Hpothess testg Overvew of sttstcs from S Prgrph d S Prgrph d Ths s ke de d pupls eed tme to ssmlte t d prctce the techques. Possle Routes through S Most studets wll hve lred covered C, C d S. Some Further Mthemtcs studets m stll e coverg C/C whe the strt d the frst suggesto s recommeded., 4,, 3: Ths troduces hpothess testg erl d ol requres the oml theorem from C. If C s eg tught t the sme tme, t hs the dvtge of levg prgrph utl lter the course whe the C clculus hs ee covered.,, 3, 4: Ths follows the order of the specfcto d some tet ooks d does hve the dvtge of rek from Boml d Posso efore usg them hpothess tests., 3,, 4, 3: The order of 3 d d of 3 d 4 c e swpped. Ths mkes use of prgrph s ltertve strtg pot. Other comtos re possle. If hpothess testg s covered efore orml ppromtos the cre should e tke to vod questos tht requre the use of orml ppromto to evlute prolt hpothess test. The sc de of hpothess tests c e covered d most emples requre the use of Boml or Posso tles. Edecel GCE Mthemtcs Gettg Strted 7

12 Course overvews S3 Prgrph Topc Prerequstes Notes Comto of rdom vrles Norml dstruto from S Prgrph 6 E(X + ) d Vr(X + ) from S Prgrph 5 Smplg Overvew from S Prgrph Ides of smplg frme, populto, smples from S Prgrph 4 3 Estmto, cofdece tervls d tests 4 Goodess of ft tests Cotgec tle tests 5 Sperm s rk correlto coeffcet d hpothess tests for correlto. Hpothess tests from S Prgrgh 4 Work o comg rdom vrles from S3 Prgrph Boml d Posso from S Prgrph Rectgulr dstruto from S Prgrph 3 Ides of hpothess tests from S Prgrph 4 Prolt for des of depedece from S Prgrph 3 Product momet correlto coeffcet from S Prgrph 4 Ides of hpothess test from S Prgrph 4 A good strtg pot A ltertve strtg pot. Ths depeds clerl o S3 Prgrph d rgul the work o smplg (S3 Prgrph ) provdes some troducto to the estmto topc. A ltertve strtg pot. Aother smple strtg pot. Possle Routes through S3 Some kowledge of S s requred efore S3 c e tught, prtculr the des ehd hpothess testg whch re essetl. Assumg ths hs ee covered, studets c strt S3 o prgrph ecept 3. 5, 4,,, 3: Sperm s rk correlto d the hpothess tests for correlto re possl the smplest topcs S3 d requre lttle ckgroud kowledge. The Ch squred work prgrph 4 c e troduced wthout referece to Boml or Posso dstrutos, lthough these re ke emples tht the wll eed to kow. But prgrphs 5 d 4 provde sutle d frl es strtg pots for S3. Prgrph eeds to come efore prgrph 3 ut prgrph c e ftted lmost where. Ths route provdes getle troducto d covers some ke tests tht mght e useful other sujects such s olog d geogrph t the strt of the course.,, 3, 4, 5: Ths hs the dvtge of followg the order of the specfcto d some tet ooks, d splts the work o comg rdom vrles wth ts chef pplctos prgrph 3 wth the work o smplg whch rgul should come efore the topcs o estmto. There re other possle vrtos. 8 Edecel GCE Mthemtcs Gettg Strted

13 Course overvews S4 Prgrph Topc Prerequstes Notes Qult of tests d Estmtors Oe smple t-test d cofdece tervl Oe smple test for vrce d cofdece tervls Comg rdom vrles from S3 Prgrph Estmtors from S3 Prgrph 3 Ides of hpothess tests from S Prgrph 4 Clculus from C/C S3 pr 3 Cocept of χ v dstruto from S3 Prgrph 4 3 F-test Ide of tests for vrce from S4 Prgrph 3 Test d cofdece tervls for dfferece of two mes usg t-test S3 Prgrph 3 S4 Prgrph 3c Pred t-test S3 Prgrph 3 S4 Prgrph Usull the most demdg secto S4. C e tught depedetl of the other sectos. C e tught logsde the prllel test S3. Ths c e tught logsde the prllel test S3. Ths lks ck to the smple t-test met S4 Prgrph. Possle Routes through S4 The course requres kowledge of prgrph 3 S3 d prts of S4 c deed e tught logsde S3. Tests o S3 tht ssume kowledge of σ c e tught logsde those from S4 ( d 3) tht do t requre ths ssumpto. Prgrph c e tught t pot the S4 course., 3, : The tests re troduced frst d cddtes usull fd ths spect of the course more strghtforwrd th the work prgrph.,, 3: Ths follows the order of the specfcto d some tetooks d covers the more dffcult d theoretcl work frst. Edecel GCE Mthemtcs Gettg Strted 9

14 Course overvews Decso Mthemtcs Progresso Mtchgs (D) Prm s lgorthm (D) Kruskl s lgorthm (D) Trsportto (D) Allocto (D) Trvellg slesm prolem (D) D Prgrph Descrpto Prerequstes Algorthms Noe Prm s d Kruskl s lgorthms Noe 3 Route specto prolem Noe 4 Crtcl pth lss Noe 5 Ler progrmmg Noe 6 Mtchgs Noe D Prgrph Descrpto Prerequstes Trsportto prolems D Prgrph 6 - Mtchgs Allocto (ssgmet) prolems D Prgrph 6 - Mtchgs 3 Trvellg slesm prolem D Prgrph - Prm s d Kruskl s lgorthms 4 Further ler progrmmg Noe 5 Gme theor Noe 6 Flows etworks Noe 7 Dmc progrmmg Noe Most prts of the Decso Mthemtcs specfcto c e tught wthout ssumg pror kowledge; however, some sectos D ssume kowledge from D s show the tle. 0 Edecel GCE Mthemtcs Gettg Strted

15 Formule Booklet Formule Booklet The formule ths ooklet hve ee rrged ccordg to the ut whch the re frst troduced. Thus cddte sttg ut m e requred to use the formule tht were troduced precedg ut (e.g. cddtes sttg C3 mght e epected to use formule frst troduced C or C). It m lso e the cse tht cddtes sttg Mechcs d Sttstcs uts eed to use formule troduced pproprte Core Mthemtcs uts, s outled the specfcto. Edecel GCE Mthemtcs Gettg Strted

16 Formule Booklet Core Mthemtcs C Mesurto Surfce re of sphere = 4πr Are of curved surfce of coe = πr slt heght Arthmetc seres u = + ( )d S = ( + l) = [ + ( )d] 4 UA08598 Edecel AS/A level Mthemtcs Formule Lst: Core Mthemtcs C Issue Septemer 007 Edecel GCE Mthemtcs Gettg Strted

17 Formule Booklet Core Mthemtcs C Cddtes sttg C m lso requre those formule lsted uder Core Mthemtcs C. Cose rule = + c c cos A Boml seres r r ( + ) = r ( )! where = C r = r r!( r)! ( ) ( ) ( r + ) r ( + ) = r ( <, ) Logrthms d epoetls log log = log Geometrc seres u = r S = ( r ) r S = r for r < Numercl tegrto The trpezum rule: d h{( 0 + ) + ( )}, where h = UA08598 Edecel AS/A level Mthemtcs Formule Lst: Core Mthemtcs C Issue Septemer Edecel GCE Mthemtcs Gettg Strted 3

18 Formule Booklet Core Mthemtcs C3 Cddtes sttg C3 m lso requre those formule lsted uder Core Mthemtcs C d C. Logrthms d epoetls e l = Trgoometrc dettes s ( A ± B) = s Acos B ± cos As B cos( A ± B) = cos Acos B s As B t A ± t B t ( A ± B) = ( A ± B ( k + ) t At B A + B A B s A + s B = s cos A + B A B s A s B = cos s A + B A B cos A + cos B = cos cos A + B A B cos A cos B = s s π ) Dfferetto f() t k sec cot cosec f( ) g( ) f () k sec k sec t cosec cosec cot f ( )g( ) f( )g ( ) (g( )) 6 UA08598 Edecel AS/A level Mthemtcs Formule Lst: Core Mthemtcs C3 Issue Septemer Edecel GCE Mthemtcs Gettg Strted

19 Formule Booklet Core Mthemtcs C4 Cddtes sttg C4 m lso requre those formule lsted uder Core Mthemtcs C, C d C3. Itegrto (+ costt) f() f( ) d sec k t cot t k k l sec l s cosec l cosec + cot = l t( ) sec l sec + t = l t( + 4 π ) dv du u d = uv v d d d UA08598 Edecel AS/A level Mthemtcs Formule Lst: Core Mthemtcs C4 Issue Septemer Edecel GCE Mthemtcs Gettg Strted 5

20 Formule Booklet Further Pure Mthemtcs FP Cddtes sttg FP m lso requre those formule lsted uder Core Mthemtcs C d C. Summtos r = r= r r 3 = = 6 4 ( + )( + ) ( +) Numercl soluto of equtos The Newto-Rphso terto for solvg f( ) = 0 : + = f( ) f ( ) Coordte geometr The perpedculr dstce from (h, k) to + + c = 0 s h + k + c + m m The cute gle etwee les wth grdets m d m s rct + m m Cocs Prol Rectgulr Hperol Stdrd Form = 4 = c Prmetrc Form (t, t) ct, c t Foc (, 0) Not requred Drectrces = Not requred 8 UA08598 Edecel AS/A level Mthemtcs Formule Lst: Further Pure Mthemtcs FP Issue Septemer Edecel GCE Mthemtcs Gettg Strted

21 Formule Booklet Mtr trsformtos cosθ Atclockwse rotto through θ out O: sθ sθ cosθ Reflecto the le cos θ s θ = (tθ ) : s θ cos θ UA08598 Edecel AS/A level Mthemtcs Formule Lst: Further Pure Mthemtcs FP Issue Septemer Edecel GCE Mthemtcs Gettg Strted 7

22 Formule Booklet Further Pure Mthemtcs FP Cddtes sttg FP m lso requre those formule lsted uder Further Pure Mthemtcs FP d Core Mthemtcs C C4. Are of sector A = r dθ (polr coordtes) Comple umers θ e = cosθ + sθ { r(cosθ + sθ )} = r (cosθ + s θ ) k e π The roots of z = re gve z =, for k = 0,,,, Mclur s d Tlor s Seres r ( r) f( ) = f(0) + f (0) + f (0) + + f (0) +! r! r ( ) ( ) ( r) f( ) = f( ) + ( ) f ( ) + f ( ) + + f ( ) +! r! r ( r) f( + ) = f( ) + f ( ) + f ( ) + + f ( ) +! r! r e = ep( ) = for ll! r! 3 r r+ l ( + ) = + + ( ) + ( < ) 3 r 3 5 r + r s = + + ( ) + for ll 3! 5! (r + )! 4 r r cos = + + ( ) + for ll! 4! (r)! 3 5 r+ r rct = + + ( ) + ( ) 3 5 r + Tlor polomls h f( + h) = f( ) + h f ( ) + f ( ) + error! h f( + h) = f( ) + h f ( ) + f ( + ξ ) (0 < ξ < h)! ( ) f( ) = f( ) + ( ) f ( ) + f ( ) + error! ( ) f( ) = f( ) + ( ) f ( ) + f ( ξ ) ( < ξ < )! 0 UA08598 Edecel AS/A level Mthemtcs Formule Lst: Further Pure Mthemtcs FP Issue Septemer Edecel GCE Mthemtcs Gettg Strted

23 Edecel GCE Mthemtcs Gettg Strted 9 Edecel GCE Mthemtcs Formule Booklet UA08598 Edecel AS/A level Mthemtcs Formule Lst: Further Pure Mthemtcs FP3 Issue Septemer 007 Further Pure Mthemtcs FP3 Cddtes sttg FP3 m lso requre those formule lsted uder Further Pure Mthemtcs FP, d Core Mthemtcs C C4. Vectors The resolved prt of the drecto of s. The pot dvdg AB the rto μ λ : s μ λ λ μ + + Vector product: = = = ˆ s k j θ ) ( ) ( ) ( c. c. c. = = = c c c c..c c ) ( ) ( ) ( = If A s the pot wth posto vector k j = d the drecto vector s gve k j =, the the strght le through A wth drecto vector hs crtes equto ) ( 3 3 = λ = = z The ple through A wth orml vector k j = hs crtes equto =. = d d z where 0 3 The ple through o-coller pots A, B d C hs vector equto c c r μ λ μ λ μ λ + + = + + = ) ( ) ( ) ( The ple through the pot wth posto vector d prllel to d c hs equto c r t + s + = The perpedculr dstce of ),, ( γ β α from 0 3 = d z s 3 3 d γ β α.

24 Formule Booklet Hperolc fuctos cosh sh = sh = sh cosh cosh = cosh + sh rcosh = l{ + } ( ) rsh = l{ + + } + rth = l ( < ) Cocs Ellpse Prol Hperol Rectgulr Hperol Stdrd Form + = = 4 = = c Prmetrc Form ( cosθ, sθ ) ( t, t) ( sec θ, t θ ) (± cosh θ, sh θ) ct, c t Eccetrct e < = ( e ) e = e > = e ( ) e = Foc ( ± e, 0) (, 0) ( ± e, 0) (± c, ± c) Drectrces = ± = e = ± + = ± c e Asmptotes oe oe = ± = 0, = 0 UA08598 Edecel AS/A level Mthemtcs Formule Lst: Further Pure Mthemtcs FP3 Issue Septemer Edecel GCE Mthemtcs Gettg Strted

25 Formule Booklet Dfferetto f() f () rcs rccos rct + sh cosh cosh sh th rsh rcosh sech + rth Itegrto (+ costt; > 0 where relevt) f() f( ) d sh cosh th + + cosh sh l cosh rcs rct ( < ) rcosh = l{ + } rsh = l + l = l + { + + } rth ( > ) ( < ) UA08598 Edecel AS/A level Mthemtcs Formule Lst Issue Septemer Edecel GCE Mthemtcs Gettg Strted

26 Edecel GCE Mthemtcs Gettg Strted Edecel GCE Mthemtcs Formule Booklet 4 UA08598 Edecel AS/A level Mthemtcs Formule Lst: Further Pure Mthemtcs FP3 Issue Septemer 007 Arc legth s d d d + = (crtes coordtes) t t t s d d d d d + = (prmetrc form) Surfce re of revoluto d d d d d d S s t t t π π = = +

27 Formule Booklet BLANK PAGE TURN OVER FOR MECHANICS & STATISTICS FORMULAE UA08598 Edecel AS/A level Mthemtcs Formule Lst Issue Septemer Edecel GCE Mthemtcs Gettg Strted 3

28 Formule Booklet Mechcs M There re o formule gve for M ddto to those cddtes re epected to kow. Cddtes sttg M m lso requre those formule lsted uder Core Mthemtcs C. Mechcs M Cddtes sttg M m lso requre those formule lsted uder Core Mthemtcs C, C d C3. Cetres of mss For uform odes: Trgulr lm: 3 log med from verte r sα Crculr rc, rdus r, gle t cetre α : from cetre α r sα Sector of crcle, rdus r, gle t cetre α : from cetre 3α Mechcs M3 Cddtes sttg M3 m lso requre those formule lsted uder Mechcs M, d lso those formule lsted uder Core Mthemtcs C C4. Moto crcle Trsverse veloct: v = r θ Trsverse ccelerto: v = r θ v Rdl ccelerto: r θ = r Cetres of mss For uform odes: Sold hemsphere, rdus r: Hemsphercl shell, rdus r: Sold coe or prmd of heght h: Cocl shell of heght h: Uversl lw of grvtto Gm m Force = d 3 r from cetre 8 r from cetre h ove the se o the le from cetre of se to verte 4 h ove the se o the le from cetre of se to verte 3 6 UA08598 Edecel AS/A level Mthemtcs Formule Lst: Mechcs M M3 Issue Septemer Edecel GCE Mthemtcs Gettg Strted

29 Formule Booklet Mechcs M4 There re o formule gve for M4 ddto to those cddtes re epected to kow. Cddtes sttg M4 m lso requre those formule lsted uder Mechcs M d M3, d lso those formule lsted uder Core Mthemtcs C C4 d Further Pure Mthemtcs FP. Mechcs M5 Cddtes sttg M5 m lso requre those formule lsted uder Mechcs M d M3, d lso those formule lsted uder Core Mthemtcs C C4 d Further Pure Mthemtcs FP. Momets of ert For uform odes of mss m: Th rod, legth l, out perpedculr s through cetre: ml Rectgulr lm out s ple sectg edges of legth l: ml Th rod, legth l, out perpedculr s through ed: ml Rectgulr lm out edge perpedculr to edges of legth l: Rectgulr lm, sdes d, out perpedculr s through cetre: m ( + ) 3 Hoop or cldrcl shell of rdus r out s through cetre: mr Hoop of rdus r out dmeter: mr Dsc or sold clder of rdus r out s through cetre: Dsc of rdus r out dmeter: mr Sold sphere, rdus r, out dmeter: 4 mr Sphercl shell of rdus r out dmeter: 5 mr 3 mr ml Prllel es theorem: I A = I G + m(ag) Perpedculr es theorem: I = I + I (for lm the - ple) Momets s vectors The momet out O of F ctg t r s z r F UA08598 Edecel AS/A level Mthemtcs Formule Lst: Mechcs M4 M5 Issue Septemer Edecel GCE Mthemtcs Gettg Strted 5

30 Formule Booklet Sttstcs S Prolt P( A B) = P( A) + P( B) P( A B) P( A B) = P( A) P( B A) P( B A) P( A) P( A B) = P( B A) P( A) + P( B A ) P( A ) Dscrete dstrutos For dscrete rdom vrle X tkg vlues wth proltes P(X = ) Epectto (me): E(X) = μ = Σ P(X = ) Vrce: Vr(X) = σ = Σ( μ ) P(X = ) = Σ P(X = ) μ For fucto g(x ) : E(g(X)) = Σg( ) P(X = ) Cotuous dstrutos Stdrd cotuous dstruto: Dstruto of X P.D.F. Me Vrce Norml N( μ, σ ) μ σ e σ π μ σ 8 UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S Issue Septemer Edecel GCE Mthemtcs Gettg Strted

31 Edecel GCE Mthemtcs Gettg Strted 7 Edecel GCE Mthemtcs Formule Booklet UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S Issue Septemer Correlto d regresso For set of prs of vlues ), ( S ) ( ) ( Σ = Σ = Σ S ) ( ) ( Σ = Σ = Σ S ) )( ( ) )( ( Σ Σ = Σ = Σ The product momet correlto coeffcet s Σ Σ Σ Σ Σ Σ Σ = Σ Σ Σ = = S S S r ) ( ) ( ) )( ( ) ( ) ( ) )( ( } }{ { The regresso coeffcet of o s ) ( ) )( ( S S Σ Σ = = Lest squres regresso le of o s + = where =

32 Formule Booklet THE NORMAL DISTRIBUTION FUNCTION The fucto tulted elow s Φ(z), defed s Φ(z) = z t π e dt. z Φ(z) z Φ(z) z Φ(z) z Φ(z) z Φ(z) UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S Issue Septemer Edecel GCE Mthemtcs Gettg Strted

33 Formule Booklet PERCENTAGE POINTS OF THE NORMAL DISTRIBUTION The vlues z the tle re those whch rdom vrle Z N(0, ) eceeds wth prolt p; tht s, P(Z > z) = Φ(z) = p. p z p z UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S Issue Septemer 007 Edecel GCE Mthemtcs Gettg Strted 9

34 Formule Booklet Sttstcs S Cddtes sttg S m lso requre those formule lsted uder Sttstcs S, d lso those lsted uder Core Mthemtcs C d C. Dscrete dstrutos Stdrd dscrete dstrutos: Dstruto of X P( X = ) Me Vrce Boml B(, p) p ( p) p p( p) Posso Po(λ) λ λ e λ λ! Cotuous dstrutos For cotuous rdom vrle X hvg prolt dest fucto f Epectto (me): E( X ) = μ = f( ) d σ Vrce: Vr( X ) = = ( ) f( )d = f( )d For fucto g(x ) : μ E(g( X )) = g( ) f( ) d Cumultve dstruto fucto: F( ) = P( X ) = 0 Stdrd cotuous dstruto: μ 0 f ( t) d 0 Dstruto of X P.D.F. Me Vrce t Uform (Rectgulr) o [, ] ( + ) ( ) UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S Issue Septemer Edecel GCE Mthemtcs Gettg Strted

35 Formule Booklet BINOMIAL CUMULATIVE DISTRIBUTION FUNCTION The tulted vlue s P(X ), where X hs oml dstruto wth de d prmeter p. p = = 5, = = 6, = = 7, = = 8, = = 9, = = 0, = UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S Issue Septemer Edecel GCE Mthemtcs Gettg Strted 3

36 Formule Booklet p = =, = = 5, = = 0, = UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S Issue Septemer Edecel GCE Mthemtcs Gettg Strted

37 Formule Booklet p = = 5, = = 30, = UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S Issue Septemer Edecel GCE Mthemtcs Gettg Strted 33

38 Formule Booklet p = = 40, = UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S Issue Septemer Edecel GCE Mthemtcs Gettg Strted

39 Formule Booklet p = = 50, = UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S Issue Septemer Edecel GCE Mthemtcs Gettg Strted 35

40 Formule Booklet POISSON CUMULATIVE DISTRIBUTION FUNCTION The tulted vlue s P(X ), where X hs Posso dstruto wth prmeter λ. λ = = λ = = UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S Issue Septemer Edecel GCE Mthemtcs Gettg Strted

41 Formule Booklet Sttstcs S3 Cddtes sttg S3 m lso requre those formule lsted uder Sttstcs S d S. Epectto lger For depedet rdom vrles X d Y E( XY ) = E( X ) E( Y ), Vr( X ± Y ) = Vr( X ) + Vr( Y ) Smplg dstrutos For rdom smple X,, X, X of depedet oservtos from dstruto hvg me d vrce σ σ X s used estmtor of, wth Vr( X ) = S s used estmtor of σ, where For rdom smple of oservtos from N( μ, σ ) X μ ~ N(0,) σ / S Σ( X X ) = For rdom smple of oservtos from N( μ, ) d, depedetl, rdom smple of oservtos from N( μ, σ ) ( X Y ) ( μ μ ) ~ N(0,) σ σ + σ Correlto d regresso Sperm s rk correlto coeffcet s r s = 6Σd ( ) No-prmetrc tests Goodess-of-ft test d cotgec tles: ( O E ) E ~ χ ν UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S3 Issue Septemer Edecel GCE Mthemtcs Gettg Strted 37

42 Formule Booklet PERCENTAGE POINTS OF THE χ DISTRIBUTION The vlues the tle re those whch rdom vrle wth the χ dstruto o ν degrees of freedom eceeds wth the prolt show. ν UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S3 Issue Septemer Edecel GCE Mthemtcs Gettg Strted

43 Formule Booklet CRITICAL VALUES FOR CORRELATION COEFFICIENTS These tles cocer tests of the hpothess tht populto correlto coeffcet ρ s 0. The vlues the tles re the mmum vlues whch eed to e reched smple correlto coeffcet order to e sgfct t the level show, o oe-tled test. Product Momet Coeffcet Sperm s Coeffcet Level Smple Level Level UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S3 Issue Septemer Edecel GCE Mthemtcs Gettg Strted 39

44 Formule Booklet RANDOM NUMBERS UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S3 Issue Septemer Edecel GCE Mthemtcs Gettg Strted

45 Formule Booklet Sttstcs S4 Cddtes sttg S4 m lso requre those formule lsted uder Sttstcs S, S d S3. Smplg dstrutos For rdom smple of oservtos from N( μ, σ ) ( ) S σ X μ ~ S / ~ χ t (lso vld mtched-prs stutos) For rdom smple of oservtos from N( μ, ) d, depedetl, rdom smple of oservtos from N( μ, σ ) σ S S / σ / σ ~ F, If σ = σ = σ (ukow) the ( X Y ) ( μ μ ) ~ t S + p + where ( S = p ) S + ( + ) S UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S4 Issue Septemer Edecel GCE Mthemtcs Gettg Strted 4

46 Formule Booklet PERCENTAGE POINTS OF STUDENT S t DISTRIBUTION The vlues the tle re those whch rdom vrle wth Studet s t dstruto o ν degrees of freedom eceeds wth the prolt show. ν UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S4 Issue Septemer Edecel GCE Mthemtcs Gettg Strted

47 Formule Booklet PERCENTAGE POINTS OF THE F DISTRIBUTION The vlues the tle re those whch rdom vrle wth the F dstruto o ν d ν degrees of freedom eceeds wth prolt 0.05 or 0.0. Prolt ν /ν If upper percetge pot of the F dstruto o ν d ν degrees of freedom s f, the the correspodg lower percetge pot of the F dstruto o ν d ν degrees of freedom s / f. UA08598 Edecel AS/A level Mthemtcs Formule Lst: Sttstcs S4 Issue Septemer Edecel GCE Mthemtcs Gettg Strted 43

The formulae in this booklet have been arranged according to the unit in which they are first

The formulae in this booklet have been arranged according to the unit in which they are first Fomule Booklet Fomule Booklet The fomule ths ooklet hve ee ge ccog to the ut whch the e fst touce. Thus cte sttg ut m e eque to use the fomule tht wee touce peceg ut e.g. ctes sttg C mght e epecte to use

More information

Mathematics HL and further mathematics HL formula booklet

Mathematics HL and further mathematics HL formula booklet Dplom Progrmme Mthemtcs HL d further mthemtcs HL formul boolet For use durg the course d the emtos Frst emtos 04 Publshed Jue 0 Itertol Bcclurete Orgzto 0 5048 Mthemtcs HL d further mthemtcs formul boolet

More information

Mathematics HL and further mathematics HL formula booklet

Mathematics HL and further mathematics HL formula booklet Dplom Progrmme Mthemtcs HL d further mthemtcs HL formul boolet For use durg the course d the emtos Frst emtos 04 Edted 05 (verso ) Itertol Bcclurete Orgzto 0 5048 Cotets Pror lerg Core 3 Topc : Algebr

More information

Mathematics HL and further mathematics HL formula booklet

Mathematics HL and further mathematics HL formula booklet Dplom Progrmme Mthemtcs HL d further mthemtcs HL formul boolet For use durg the course d the emtos Frst emtos 04 Publshed Jue 0 Itertol Bcclurete Orgzto 0 5048 Cotets Pror lerg Core Topc : Algebr Topc

More information

For use in Edexcel Advanced Subsidiary GCE and Advanced GCE examinations

For use in Edexcel Advanced Subsidiary GCE and Advanced GCE examinations GCE Edecel GCE Mthemtcs Mthemtcl Fomule d Sttstcl Tles Fo use Edecel Advced Susd GCE d Advced GCE emtos Coe Mthemtcs C C4 Futhe Pue Mthemtcs FP FP Mechcs M M5 Sttstcs S S4 Fo use fom Ju 008 UA08598 TABLE

More information

The formulae in this booklet have been arranged according to the unit in which they are first

The formulae in this booklet have been arranged according to the unit in which they are first Fomule Booklet Fomule Booklet The fomule ths ooklet hve ee ge og to the ut whh the e fst toue. Thus te sttg ut m e eque to use the fomule tht wee toue peeg ut e.g. tes sttg C mght e epete to use fomule

More information

GCE AS/A Level MATHEMATICS GCE AS/A Level FURTHER MATHEMATICS

GCE AS/A Level MATHEMATICS GCE AS/A Level FURTHER MATHEMATICS GCE AS/A Level MATHEMATICS GCE AS/A Level FURTHER MATHEMATICS FORMULA BOOKLET Fom Septembe 07 Issued 07 Mesuto Pue Mthemtcs Sufce e of sphee = 4 Ae of cuved sufce of coe = slt heght Athmetc Sees S l d

More information

GCE AS and A Level MATHEMATICS FORMULA BOOKLET. From September Issued WJEC CBAC Ltd.

GCE AS and A Level MATHEMATICS FORMULA BOOKLET. From September Issued WJEC CBAC Ltd. GCE AS d A Level MATHEMATICS FORMULA BOOKLET Fom Septeme 07 Issued 07 Pue Mthemtcs Mesuto Suce e o sphee = 4 Ae o cuved suce o coe = heght slt Athmetc Sees S = + l = [ + d] Geometc Sees S = S = o < Summtos

More information

Soo King Lim Figure 1: Figure 2: Figure 3: Figure 4: Figure 5: Figure 6: Figure 7: Figure 8: Figure 9: Figure 10: Figure 11:

Soo King Lim Figure 1: Figure 2: Figure 3: Figure 4: Figure 5: Figure 6: Figure 7: Figure 8: Figure 9: Figure 10: Figure 11: Soo Kg Lm 1.0 Nested Fctorl Desg... 1.1 Two-Fctor Nested Desg... 1.1.1 Alss of Vrce... Exmple 1... 5 1.1. Stggered Nested Desg for Equlzg Degree of Freedom... 7 1.1. Three-Fctor Nested Desg... 8 1.1..1

More information

Strategies for the AP Calculus Exam

Strategies for the AP Calculus Exam Strteges for the AP Clculus Em Strteges for the AP Clculus Em Strtegy : Kow Your Stuff Ths my seem ovous ut t ees to e metoe. No mout of cochg wll help you o the em f you o t kow the mterl. Here s lst

More information

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is Mth Sprg 08 L Approxmtg Dete Itegrls I Itroducto We hve studed severl methods tht llow us to d the exct vlues o dete tegrls However, there re some cses whch t s ot possle to evlute dete tegrl exctly I

More information

ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS

ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS Numercl Alyss for Egeers Germ Jord Uversty ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS Numercl soluto of lrge systems of ler lgerc equtos usg drect methods such s Mtr Iverse, Guss

More information

PhysicsAndMathsTutor.com

PhysicsAndMathsTutor.com PhysicsAdMthsTutor.com PhysicsAdMthsTutor.com Jue 009 4. Give tht y rsih ( ), > 0, () fid d y d, givig your swer s simplified frctio. () Leve lk () Hece, or otherwise, fid 4 d, 4 [ ( )] givig your swer

More information

Chapter 2 Intro to Math Techniques for Quantum Mechanics

Chapter 2 Intro to Math Techniques for Quantum Mechanics Wter 3 Chem 356: Itroductory Qutum Mechcs Chpter Itro to Mth Techques for Qutum Mechcs... Itro to dfferetl equtos... Boudry Codtos... 5 Prtl dfferetl equtos d seprto of vrbles... 5 Itroducto to Sttstcs...

More information

Preliminary Examinations: Upper V Mathematics Paper 1

Preliminary Examinations: Upper V Mathematics Paper 1 relmr Emtos: Upper V Mthemtcs per Jul 03 Emer: G Evs Tme: 3 hrs Modertor: D Grgortos Mrks: 50 INSTRUCTIONS ND INFORMTION Ths questo pper sts of 0 pges, cludg swer Sheet pge 8 d Iformto Sheet pges 9 d 0

More information

under the curve in the first quadrant.

under the curve in the first quadrant. NOTES 5: INTEGRALS Nme: Dte: Perod: LESSON 5. AREAS AND DISTANCES Are uder the curve Are uder f( ), ove the -s, o the dom., Prctce Prolems:. f ( ). Fd the re uder the fucto, ove the - s, etwee,.. f ( )

More information

COMPLEX NUMBERS AND DE MOIVRE S THEOREM

COMPLEX NUMBERS AND DE MOIVRE S THEOREM COMPLEX NUMBERS AND DE MOIVRE S THEOREM OBJECTIVE PROBLEMS. s equl to b d. 9 9 b 9 9 d. The mgr prt of s 5 5 b 5. If m, the the lest tegrl vlue of m s b 8 5. The vlue of 5... s f s eve, f s odd b f s eve,

More information

6.6 Moments and Centers of Mass

6.6 Moments and Centers of Mass th 8 www.tetodre.co 6.6 oets d Ceters of ss Our ojectve here s to fd the pot P o whch th plte of gve shpe lces horzotll. Ths pot s clled the ceter of ss ( or ceter of grvt ) of the plte.. We frst cosder

More information

14.2 Line Integrals. determines a partition P of the curve by points Pi ( xi, y

14.2 Line Integrals. determines a partition P of the curve by points Pi ( xi, y 4. Le Itegrls I ths secto we defe tegrl tht s smlr to sgle tegrl except tht sted of tegrtg over tervl [ ] we tegrte over curve. Such tegrls re clled le tegrls lthough curve tegrls would e etter termology.

More information

DATA FITTING. Intensive Computation 2013/2014. Annalisa Massini

DATA FITTING. Intensive Computation 2013/2014. Annalisa Massini DATA FITTING Itesve Computto 3/4 Als Mss Dt fttg Dt fttg cocers the problem of fttg dscrete dt to obt termedte estmtes. There re two geerl pproches two curve fttg: Iterpolto Dt s ver precse. The strteg

More information

PubH 7405: REGRESSION ANALYSIS REGRESSION IN MATRIX TERMS

PubH 7405: REGRESSION ANALYSIS REGRESSION IN MATRIX TERMS PubH 745: REGRESSION ANALSIS REGRESSION IN MATRIX TERMS A mtr s dspl of umbers or umercl quttes ld out rectgulr rr of rows d colums. The rr, or two-w tble of umbers, could be rectgulr or squre could be

More information

Numerical Analysis Topic 4: Least Squares Curve Fitting

Numerical Analysis Topic 4: Least Squares Curve Fitting Numerl Alss Top 4: Lest Squres Curve Fttg Red Chpter 7 of the tetook Alss_Numerk Motvto Gve set of epermetl dt: 3 5. 5.9 6.3 The reltoshp etwee d m ot e ler. Fd futo f tht est ft the dt 3 Alss_Numerk Motvto

More information

this is the indefinite integral Since integration is the reverse of differentiation we can check the previous by [ ]

this is the indefinite integral Since integration is the reverse of differentiation we can check the previous by [ ] Atervtves The Itegrl Atervtves Ojectve: Use efte tegrl otto for tervtves. Use sc tegrto rules to f tervtves. Aother mportt questo clculus s gve ervtve f the fucto tht t cme from. Ths s the process kow

More information

St John s College. UPPER V Mathematics: Paper 1 Learning Outcome 1 and 2. Examiner: GE Marks: 150 Moderator: BT / SLS INSTRUCTIONS AND INFORMATION

St John s College. UPPER V Mathematics: Paper 1 Learning Outcome 1 and 2. Examiner: GE Marks: 150 Moderator: BT / SLS INSTRUCTIONS AND INFORMATION St Joh s College UPPER V Mthemtcs: Pper Lerg Outcome d ugust 00 Tme: 3 hours Emer: GE Mrks: 50 Modertor: BT / SLS INSTRUCTIONS ND INFORMTION Red the followg structos crefull. Ths questo pper cossts of

More information

Roberto s Notes on Integral Calculus Chapter 4: Definite integrals and the FTC Section 2. Riemann sums

Roberto s Notes on Integral Calculus Chapter 4: Definite integrals and the FTC Section 2. Riemann sums Roerto s Notes o Itegrl Clculus Chpter 4: Defte tegrls d the FTC Secto 2 Rem sums Wht you eed to kow lredy: The defto of re for rectgle. Rememer tht our curret prolem s how to compute the re of ple rego

More information

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek Optmlt of Strteges for Collpsg Expe Rom Vrles Smple Rom Smple E Stek troucto We revew the propertes of prectors of ler comtos of rom vrles se o rom vrles su-spce of the orgl rom vrles prtculr, we ttempt

More information

The z-transform. LTI System description. Prof. Siripong Potisuk

The z-transform. LTI System description. Prof. Siripong Potisuk The -Trsform Prof. Srpog Potsuk LTI System descrpto Prevous bss fucto: ut smple or DT mpulse The put sequece s represeted s ler combto of shfted DT mpulses. The respose s gve by covoluto sum of the put

More information

Sequences and summations

Sequences and summations Lecture 0 Sequeces d summtos Istructor: Kgl Km CSE) E-ml: kkm0@kokuk.c.kr Tel. : 0-0-9 Room : New Mleum Bldg. 0 Lb : New Egeerg Bldg. 0 All sldes re bsed o CS Dscrete Mthemtcs for Computer Scece course

More information

Density estimation II

Density estimation II CS 750 Mche Lerg Lecture 6 esty estmto II Mlos Husrecht mlos@tt.edu 539 Seott Squre t: esty estmto {.. } vector of ttrute vlues Ojectve: estmte the model of the uderlyg rolty dstruto over vrles X X usg

More information

Chapter Gauss-Seidel Method

Chapter Gauss-Seidel Method Chpter 04.08 Guss-Sedel Method After redg ths hpter, you should be ble to:. solve set of equtos usg the Guss-Sedel method,. reogze the dvtges d ptflls of the Guss-Sedel method, d. determe uder wht odtos

More information

Cooper and McGillem Chapter 4: Moments Linear Regression

Cooper and McGillem Chapter 4: Moments Linear Regression Cooper d McGllem Chpter 4: Momets Ler Regresso Chpter 4: lemets of Sttstcs 4-6 Curve Fttg d Ler Regresso 4-7 Correlto Betwee Two Sets of Dt Cocepts How close re the smple vlues to the uderlg pdf vlues?

More information

CURVE FITTING LEAST SQUARES METHOD

CURVE FITTING LEAST SQUARES METHOD Nuercl Alss for Egeers Ger Jord Uverst CURVE FITTING Although, the for of fucto represetg phscl sste s kow, the fucto tself ot be kow. Therefore, t s frequetl desred to ft curve to set of dt pots the ssued

More information

Chapter 2 Intro to Math Techniques for Quantum Mechanics

Chapter 2 Intro to Math Techniques for Quantum Mechanics Fll 4 Chem 356: Itroductory Qutum Mechcs Chpter Itro to Mth Techques for Qutum Mechcs... Itro to dfferetl equtos... Boudry Codtos... 5 Prtl dfferetl equtos d seprto of vrbles... 5 Itroducto to Sttstcs...

More information

Chapter 7. Bounds for weighted sums of Random Variables

Chapter 7. Bounds for weighted sums of Random Variables Chpter 7. Bouds for weghted sums of Rdom Vrbles 7. Itroducto Let d 2 be two depedet rdom vrbles hvg commo dstrbuto fucto. Htczeko (998 d Hu d L (2000 vestgted the Rylegh dstrbuto d obted some results bout

More information

Review of Linear Algebra

Review of Linear Algebra PGE 30: Forulto d Soluto Geosstes Egeerg Dr. Blhoff Sprg 0 Revew of Ler Alger Chpter 7 of Nuercl Methods wth MATLAB, Gerld Recktewld Vector s ordered set of rel (or cople) uers rrged s row or colu sclr

More information

MTH 146 Class 7 Notes

MTH 146 Class 7 Notes 7.7- Approxmte Itegrto Motvto: MTH 46 Clss 7 Notes I secto 7.5 we lered tht some defte tegrls, lke x e dx, cot e wrtte terms of elemetry fuctos. So, good questo to sk would e: How c oe clculte somethg

More information

Regression. By Jugal Kalita Based on Chapter 17 of Chapra and Canale, Numerical Methods for Engineers

Regression. By Jugal Kalita Based on Chapter 17 of Chapra and Canale, Numerical Methods for Engineers Regresso By Jugl Klt Bsed o Chpter 7 of Chpr d Cle, Numercl Methods for Egeers Regresso Descrbes techques to ft curves (curve fttg) to dscrete dt to obt termedte estmtes. There re two geerl pproches two

More information

Chapter 4: Distributions

Chapter 4: Distributions Chpter 4: Dstrbutos Prerequste: Chpter 4. The Algebr of Expecttos d Vrces I ths secto we wll mke use of the followg symbols: s rdom vrble b s rdom vrble c s costt vector md s costt mtrx, d F m s costt

More information

St John s College. UPPER V Mathematics: Paper II. Learning Outcomes 3 and 4. Examiner: SLS / BH Marks: 150 Moderator: DG

St John s College. UPPER V Mathematics: Paper II. Learning Outcomes 3 and 4. Examiner: SLS / BH Marks: 150 Moderator: DG St Joh s College St Joh s College UPPER V Mthemtcs: Pper II Lerg Outcomes 3 d 4 ugust 00 Tme: 3 hours Emer: SLS / BH Mrks: 50 Modertor: DG PLESE RED THE FOLLOWING INSTRUCTIONS CREFULLY. Ths questo pper

More information

Answer: First, I ll show how to find the terms analytically then I ll show how to use the TI to find them.

Answer: First, I ll show how to find the terms analytically then I ll show how to use the TI to find them. . CHAPTER 0 SEQUENCE, SERIES, d INDUCTION Secto 0. Seqece A lst of mers specfc order. E / Fd the frst terms : of the gve seqece: Aswer: Frst, I ll show how to fd the terms ltcll the I ll show how to se

More information

Area and the Definite Integral. Area under Curve. The Partition. y f (x) We want to find the area under f (x) on [ a, b ]

Area and the Definite Integral. Area under Curve. The Partition. y f (x) We want to find the area under f (x) on [ a, b ] Are d the Defte Itegrl 1 Are uder Curve We wt to fd the re uder f (x) o [, ] y f (x) x The Prtto We eg y prttog the tervl [, ] to smller su-tervls x 0 x 1 x x - x -1 x 1 The Bsc Ide We the crete rectgles

More information

The definite Riemann integral

The definite Riemann integral Roberto s Notes o Itegrl Clculus Chpter 4: Defte tegrls d the FTC Secto 4 The defte Rem tegrl Wht you eed to kow lredy: How to ppromte the re uder curve by usg Rem sums. Wht you c ler here: How to use

More information

AS and A Level Further Mathematics B (MEI)

AS and A Level Further Mathematics B (MEI) fod Cmbdge d RSA *3369600* AS d A evel Futhe Mthemtcs B (MEI) The fomto ths booklet s fo the use of cddtes followg the Advced Subsd Futhe Mthemtcs B (MEI)(H635) o the Advced GCE Futhe Mthemtcs B (MEI)

More information

Section 7.2 Two-way ANOVA with random effect(s)

Section 7.2 Two-way ANOVA with random effect(s) Secto 7. Two-wy ANOVA wth rdom effect(s) 1 1. Model wth Two Rdom ffects The fctors hgher-wy ANOVAs c g e cosdered fxed or rdom depedg o the cotext of the study. or ech fctor: Are the levels of tht fctor

More information

Random variables and sampling theory

Random variables and sampling theory Revew Rdom vrbles d smplg theory [Note: Beg your study of ths chpter by redg the Overvew secto below. The red the correspodg chpter the textbook, vew the correspodg sldeshows o the webste, d do the strred

More information

Level-2 BLAS. Matrix-Vector operations with O(n 2 ) operations (sequentially) BLAS-Notation: S --- single precision G E general matrix M V --- vector

Level-2 BLAS. Matrix-Vector operations with O(n 2 ) operations (sequentially) BLAS-Notation: S --- single precision G E general matrix M V --- vector evel-2 BS trx-vector opertos wth 2 opertos sequetlly BS-Notto: S --- sgle precso G E geerl mtrx V --- vector defes SGEV, mtrx-vector product: r y r α x β r y ther evel-2 BS: Solvg trgulr system x wth trgulr

More information

Analytical Approach for the Solution of Thermodynamic Identities with Relativistic General Equation of State in a Mixture of Gases

Analytical Approach for the Solution of Thermodynamic Identities with Relativistic General Equation of State in a Mixture of Gases Itertol Jourl of Advced Reserch Physcl Scece (IJARPS) Volume, Issue 5, September 204, PP 6-0 ISSN 2349-7874 (Prt) & ISSN 2349-7882 (Ole) www.rcourls.org Alytcl Approch for the Soluto of Thermodymc Idettes

More information

Advanced Algorithmic Problem Solving Le 3 Arithmetic. Fredrik Heintz Dept of Computer and Information Science Linköping University

Advanced Algorithmic Problem Solving Le 3 Arithmetic. Fredrik Heintz Dept of Computer and Information Science Linköping University Advced Algorthmc Prolem Solvg Le Arthmetc Fredrk Hetz Dept of Computer d Iformto Scece Lköpg Uversty Overvew Arthmetc Iteger multplcto Krtsu s lgorthm Multplcto of polyomls Fst Fourer Trsform Systems of

More information

3/20/2013. Splines There are cases where polynomial interpolation is bad overshoot oscillations. Examplef x. Interpolation at -4,-3,-2,-1,0,1,2,3,4

3/20/2013. Splines There are cases where polynomial interpolation is bad overshoot oscillations. Examplef x. Interpolation at -4,-3,-2,-1,0,1,2,3,4 // Sples There re ses where polyoml terpolto s d overshoot oslltos Emple l s Iterpolto t -,-,-,-,,,,,.... - - - Ide ehd sples use lower order polyomls to oet susets o dt pots mke oetos etwee djet sples

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 Mtr Trsformtos usg Egevectors September 8, Mtr Trsformtos Usg Egevectors Lrry Cretto Mechcl Egeerg A Semr Egeerg Alyss September 8, Outle Revew lst lecture Trsformtos wth mtr of egevectors: = - A ermt

More information

Stats & Summary

Stats & Summary Stts 443.3 & 85.3 Summr The Woodbur Theorem BCD B C D B D where the verses C C D B, d est. Block Mtrces Let the m mtr m q q m be rttoed to sub-mtrces,,,, Smlrl rtto the m k mtr B B B mk m B B l kl Product

More information

Solutions Manual for Polymer Science and Technology Third Edition

Solutions Manual for Polymer Science and Technology Third Edition Solutos ul for Polymer Scece d Techology Thrd Edto Joel R. Fred Uer Sddle Rver, NJ Bosto Idols S Frcsco New York Toroto otrel Lodo uch Prs drd Cetow Sydey Tokyo Sgore exco Cty Ths text s ssocted wth Fred/Polymer

More information

Lecture 3-4 Solutions of System of Linear Equations

Lecture 3-4 Solutions of System of Linear Equations Lecture - Solutos of System of Ler Equtos Numerc Ler Alger Revew of vectorsd mtrces System of Ler Equtos Guss Elmto (drect solver) LU Decomposto Guss-Sedel method (tertve solver) VECTORS,,, colum vector

More information

Mathematics HL and Further mathematics HL Formula booklet

Mathematics HL and Further mathematics HL Formula booklet Dploma Programme Mathematcs HL ad Further mathematcs HL Formula booklet For use durg the course ad the eamatos Frst eamatos 04 Mathematcal Iteratoal Baccalaureate studes SL: Formula Orgazato booklet 0

More information

Introduction to mathematical Statistics

Introduction to mathematical Statistics Itroducto to mthemtcl ttstcs Fl oluto. A grou of bbes ll of whom weghed romtely the sme t brth re rdomly dvded to two grous. The bbes smle were fed formul A; those smle were fed formul B. The weght gs

More information

APPLICATION OF THE CHEBYSHEV POLYNOMIALS TO APPROXIMATION AND CONSTRUCTION OF MAP PROJECTIONS

APPLICATION OF THE CHEBYSHEV POLYNOMIALS TO APPROXIMATION AND CONSTRUCTION OF MAP PROJECTIONS APPLICATION OF THE CHEBYSHEV POLYNOMIALS TO APPROXIMATION AND CONSTRUCTION OF MAP PROJECTIONS Pweł Pędzch Jerzy Blcerz Wrsw Uversty of Techology Fculty of Geodesy d Crtogrphy Astrct Usully to pproto of

More information

Math 1313 Final Exam Review

Math 1313 Final Exam Review Mth 33 Fl m Revew. The e Compy stlled ew mhe oe of ts ftores t ost of $0,000. The mhe s depreted lerly over 0 yers wth srp vlue of $,000. Fd the vlue of the mhe fter 5 yers.. mufturer hs mothly fed ost

More information

Chapter 3 Supplemental Text Material

Chapter 3 Supplemental Text Material S3-. The Defto of Fctor Effects Chpter 3 Supplemetl Text Mterl As oted Sectos 3- d 3-3, there re two wys to wrte the model for sglefctor expermet, the mes model d the effects model. We wll geerlly use

More information

Linear Algebra Concepts

Linear Algebra Concepts Ler Algebr Cocepts Ke Kreutz-Delgdo (Nuo Vscocelos) ECE 75A Wter 22 UCSD Vector spces Defto: vector spce s set H where ddto d sclr multplcto re defed d stsf: ) +( + ) (+ )+ 5) l H 2) + + H 6) 3) H, + 7)

More information

Chapter 1. Infinite Sequences and Series. 1.1 Sequences. A sequence is a set of numbers written in a definite order

Chapter 1. Infinite Sequences and Series. 1.1 Sequences. A sequence is a set of numbers written in a definite order hpter Ite Sequeces d Seres. Sequeces A sequece s set o umers wrtte dete order,,,... The umer s clled the rst term, s clled the secod term, d geerl s th clled the term. Deto.. The sequece {,,...} s usull

More information

Module 2: Introduction to Numerical Analysis

Module 2: Introduction to Numerical Analysis CY00 Itroducto to Computtol Chemtr Autum 00-0 Module : Itroducto to umercl Al Am of the preet module. Itroducto to c umercl l. Developg mple progrm to mplemet the umercl method opc of teret. Iterpolto:

More information

ICS141: Discrete Mathematics for Computer Science I

ICS141: Discrete Mathematics for Computer Science I Uversty o Hw ICS: Dscrete Mthemtcs or Computer Scece I Dept. Iormto & Computer Sc., Uversty o Hw J Stelovsy bsed o sldes by Dr. Be d Dr. Stll Orgls by Dr. M. P. Fr d Dr. J.L. Gross Provded by McGrw-Hll

More information

Computer Programming

Computer Programming Computer Progrmmg I progrmmg, t s ot eough to be vetve d geous. Oe lso eeds to be dscpled d cotrolled order ot be become etgled oe's ow completes. Hrl D. Mlls, Forwrd to Progrmmg Proverbs b Her F. Ledgrd

More information

Systems of second order ordinary differential equations

Systems of second order ordinary differential equations Ffth order dgolly mplct Ruge-Kutt Nystrom geerl method solvg secod Order IVPs Fudzh Isml Astrct A dgolly mplct Ruge-Kutt-Nystróm Geerl (SDIRKNG) method of ffth order wth explct frst stge for the tegrto

More information

Mathematically, integration is just finding the area under a curve from one point to another. It is b

Mathematically, integration is just finding the area under a curve from one point to another. It is b Numerl Metods or Eg [ENGR 9] [Lyes KADEM 7] CHAPTER VI Numerl Itegrto Tops - Rem sums - Trpezodl rule - Smpso s rule - Rrdso s etrpolto - Guss qudrture rule Mtemtlly, tegrto s just dg te re uder urve rom

More information

Chapter Linear Regression

Chapter Linear Regression Chpte 6.3 Le Regesso Afte edg ths chpte, ou should be ble to. defe egesso,. use sevel mmzg of esdul cte to choose the ght cteo, 3. deve the costts of le egesso model bsed o lest sques method cteo,. use

More information

Rendering Equation. Linear equation Spatial homogeneous Both ray tracing and radiosity can be considered special case of this general eq.

Rendering Equation. Linear equation Spatial homogeneous Both ray tracing and radiosity can be considered special case of this general eq. Rederg quto Ler equto Sptl homogeeous oth ry trcg d rdosty c be cosdered specl cse of ths geerl eq. Relty ctul photogrph Rdosty Mus Rdosty Rederg quls the dfferece or error mge http://www.grphcs.corell.edu/ole/box/compre.html

More information

On Several Inequalities Deduced Using a Power Series Approach

On Several Inequalities Deduced Using a Power Series Approach It J Cotemp Mth Sceces, Vol 8, 203, o 8, 855-864 HIKARI Ltd, wwwm-hrcom http://dxdoorg/02988/jcms2033896 O Severl Iequltes Deduced Usg Power Seres Approch Lored Curdru Deprtmet of Mthemtcs Poltehc Uversty

More information

CS473-Algorithms I. Lecture 3. Solving Recurrences. Cevdet Aykanat - Bilkent University Computer Engineering Department

CS473-Algorithms I. Lecture 3. Solving Recurrences. Cevdet Aykanat - Bilkent University Computer Engineering Department CS473-Algorthms I Lecture 3 Solvg Recurreces Cevdet Aykt - Blket Uversty Computer Egeerg Deprtmet Solvg Recurreces The lyss of merge sort Lecture requred us to solve recurrece. Recurreces re lke solvg

More information

12 Iterative Methods. Linear Systems: Gauss-Seidel Nonlinear Systems Case Study: Chemical Reactions

12 Iterative Methods. Linear Systems: Gauss-Seidel Nonlinear Systems Case Study: Chemical Reactions HK Km Slghtly moded //9 /8/6 Frstly wrtte t Mrch 5 Itertve Methods er Systems: Guss-Sedel Noler Systems Cse Study: Chemcl Rectos Itertve or ppromte methods or systems o equtos cosst o guessg vlue d the

More information

Describes techniques to fit curves (curve fitting) to discrete data to obtain intermediate estimates.

Describes techniques to fit curves (curve fitting) to discrete data to obtain intermediate estimates. CURVE FITTING Descbes techques to ft cuves (cuve fttg) to dscete dt to obt temedte estmtes. Thee e two geel ppoches fo cuve fttg: Regesso: Dt ehbt sgfct degee of sctte. The stteg s to deve sgle cuve tht

More information

UNIVERSITI KEBANGSAAN MALAYSIA PEPERIKSAAN AKHIR SEMESTER I SESI AKADEMIK 2007/2008 IJAZAH SARJANAMUDA DENGAN KEPUJIAN NOVEMBER 2007 MASA : 3 JAM

UNIVERSITI KEBANGSAAN MALAYSIA PEPERIKSAAN AKHIR SEMESTER I SESI AKADEMIK 2007/2008 IJAZAH SARJANAMUDA DENGAN KEPUJIAN NOVEMBER 2007 MASA : 3 JAM UNIVERSITI KEBANGSAAN MALAYSIA PEPERIKSAAN AKHIR SEMESTER I SESI AKADEMIK 7/8 IJAZAH SARJANAMUDA DENGAN KEPUJIAN NOVEMBER 7 MASA : 3 JAM KOD KURSUS : KKKQ33/KKKF33 TAJUK : PENGIRAAN BERANGKA ARAHAN :.

More information

FP3 past questions - conics

FP3 past questions - conics Hperolic functions cosh sinh = sinh = sinh cosh cosh = cosh + sinh rcosh = ln{ + } ( ) rsinh = ln{ + + } + rtnh = ln ( < ) FP3 pst questions - conics Conics Ellipse Prol Hperol Rectngulr Hperol Stndrd

More information

Application: Work. 8.1 What is Work?

Application: Work. 8.1 What is Work? Applcto: Work 81 Wht s Work? Work, the physcs sese, s usully defed s force ctg over dstce Work s sometmes force tmes dstce, 1 but ot lwys Work s more subtle th tht Every tme you exert force, t s ot the

More information

ScienceDirect. About Verification of Discrete-Continual Finite Element Method of Structural Analysis. Part 2: Three-Dimensional Problems

ScienceDirect. About Verification of Discrete-Continual Finite Element Method of Structural Analysis. Part 2: Three-Dimensional Problems Avlle ole t wwwscecedrectcom SceceDrect Proced Egeerg 9 (04 4 9 XXIII R-S-P semr heoretcl Foudto of Cvl Egeerg (RSP (FoCE 04 Aout Verfcto of Dscrete-Cotul Fte Elemet Method of Structurl Alyss Prt : hree-dmesol

More information

Physics 220: Worksheet5 Name

Physics 220: Worksheet5 Name ocepts: pctce, delectrc costt, resstce, seres/prllel comtos () coxl cle cossts of sultor of er rdus wth chrge/legth +λ d outer sultg cylder of rdus wth chrge/legth -λ. () Fd the electrc feld everywhere

More information

Linear Algebra Concepts

Linear Algebra Concepts Ler Algebr Cocepts Nuo Vscocelos (Ke Kreutz-Delgdo) UCSD Vector spces Defto: vector spce s set H where ddto d sclr multplcto re defed d stsf: ) +( + ) = (+ )+ 5) H 2) + = + H 6) = 3) H, + = 7) ( ) = (

More information

Chapter 17. Least Square Regression

Chapter 17. Least Square Regression The Islmc Uvest of Gz Fcult of Egeeg Cvl Egeeg Deptmet Numecl Alss ECIV 336 Chpte 7 Lest que Regesso Assocte Pof. Mze Abultef Cvl Egeeg Deptmet, The Islmc Uvest of Gz Pt 5 - CURVE FITTING Descbes techques

More information

An Alternative Method to Find the Solution of Zero One Integer Linear Fractional Programming Problem with the Help of -Matrix

An Alternative Method to Find the Solution of Zero One Integer Linear Fractional Programming Problem with the Help of -Matrix Itertol Jourl of Scetfc d Reserch Pulctos, Volue 3, Issue 6, Jue 3 ISSN 5-353 A Altertve Method to Fd the Soluto of Zero Oe Iteger Ler Frctol Progrg Prole wth the Help of -Mtr VSeeregsy *, DrKJeyr ** *

More information

CS321. Numerical Analysis

CS321. Numerical Analysis CS3 Nuercl Alss Lecture 7 Lest Sures d Curve Fttg Professor Ju Zhg Deprtet of Coputer Scece Uverst of Ketuc Legto KY 456 633 Deceer 4 Method of Lest Sures Coputer ded dt collectos hve produced treedous

More information

Numerical Differentiation and Integration

Numerical Differentiation and Integration Numerl Deretto d Itegrto Overvew Numerl Deretto Newto-Cotes Itegrto Formuls Trpezodl rule Smpso s Rules Guss Qudrture Cheyshev s ormul Numerl Deretto Forwrd te dvded deree Bkwrd te dvded deree Ceter te

More information

SUM PROPERTIES FOR THE K-LUCAS NUMBERS WITH ARITHMETIC INDEXES

SUM PROPERTIES FOR THE K-LUCAS NUMBERS WITH ARITHMETIC INDEXES Avlble ole t http://sc.org J. Mth. Comput. Sc. 4 (04) No. 05-7 ISSN: 97-507 SUM PROPERTIES OR THE K-UCAS NUMBERS WITH ARITHMETIC INDEXES BIJENDRA SINGH POOJA BHADOURIA AND OMPRAKASH SIKHWA * School of

More information

Multiplicative Versions of Infinitesimal Calculus

Multiplicative Versions of Infinitesimal Calculus Multiplictive Versios o Iiitesiml Clculus Wht hppes whe you replce the summtio o stdrd itegrl clculus with multiplictio? Compre the revited deiitio o stdrd itegrl D å ( ) lim ( ) D i With ( ) lim ( ) D

More information

INTRODUCTION ( ) 1. Errors

INTRODUCTION ( ) 1. Errors INTRODUCTION Numercl lyss volves the study, developmet d lyss of lgorthms for obtg umercl solutos to vrous mthemtcl problems. Frequetly umercl lyss s clled the mthemtcs of scetfc computg. Numercl lyss

More information

CHAPTER 6 CURVE FITTINGS

CHAPTER 6 CURVE FITTINGS CHAPTER 6 CURVE FITTINGS Chpter 6 : TOPIC COVERS CURVE FITTINGS Lest-Squre Regresso - Ler Regresso - Poloml Regresso Iterpolto - Newto s Dvded-Derece Iterpoltg Polomls - Lgrge Iterpoltg Polomls - Sple

More information

A Technique for Constructing Odd-order Magic Squares Using Basic Latin Squares

A Technique for Constructing Odd-order Magic Squares Using Basic Latin Squares Itertol Jourl of Scetfc d Reserch Publctos, Volume, Issue, My 0 ISSN 0- A Techque for Costructg Odd-order Mgc Squres Usg Bsc Lt Squres Tomb I. Deprtmet of Mthemtcs, Mpur Uversty, Imphl, Mpur (INDIA) tombrom@gml.com

More information

Simple Linear Regression

Simple Linear Regression Statstcal Methods I (EST 75) Page 139 Smple Lear Regresso Smple regresso applcatos are used to ft a model descrbg a lear relatoshp betwee two varables. The aspects of least squares regresso ad correlato

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson

More information

ANSWERS, HINTS & SOLUTIONS FULL TEST II (PAPER - 2) Q. No. PHYSICS CHEMISTRY MATHEMATICS

ANSWERS, HINTS & SOLUTIONS FULL TEST II (PAPER - 2) Q. No. PHYSICS CHEMISTRY MATHEMATICS ITS-FT-II Pper-)-PCM-Sol-JEEdvced)/7 I JEE dvced 6, FIITJEE Studets bg 6 Top IR, 75 Top IR, 8 Top 5 IR. 5 Studets from Log Term Clssroom/ Itegrted School Progrm & Studets from ll Progrms hve qulfed JEE

More information

Special Instructions / Useful Data

Special Instructions / Useful Data JAM 6 Set of all real umbers P A..d. B, p Posso Specal Istructos / Useful Data x,, :,,, x x Probablty of a evet A Idepedetly ad detcally dstrbuted Bomal dstrbuto wth parameters ad p Posso dstrbuto wth

More information

Add Maths Formulae List: Form 4 (Update 18/9/08)

Add Maths Formulae List: Form 4 (Update 18/9/08) Add Mths Formule List: Form 4 (Updte 8/9/08) 0 Fuctios Asolute Vlue Fuctio f ( ) f( ), if f( ) 0 f( ), if f( ) < 0 Iverse Fuctio If y f( ), the Rememer: Oject the vlue of Imge the vlue of y or f() f()

More information

Midterm Exam 1, section 2 (Solution) Thursday, February hour, 15 minutes

Midterm Exam 1, section 2 (Solution) Thursday, February hour, 15 minutes coometrcs, CON Sa Fracsco State Uverst Mchael Bar Sprg 5 Mdterm xam, secto Soluto Thursda, Februar 6 hour, 5 mutes Name: Istructos. Ths s closed book, closed otes exam.. No calculators of a kd are allowed..

More information

ZETA REGULARIZATION METHOD APPLIED TO THE CALCULATION OF DIVERGENT DIVERGENT INTEGRALS

ZETA REGULARIZATION METHOD APPLIED TO THE CALCULATION OF DIVERGENT DIVERGENT INTEGRALS ZETA REGULARIZATION METOD APPLIED TO TE CALCULATION OF DIVERGENT DIVERGENT INTEGRALS Jose Jver Grc Moret Grdute studet of Physcs t the UPV/EU (Uversty of Bsque coutry) I Sold Stte Physcs Addres: Prctctes

More information

Random Variables and Probability Distributions

Random Variables and Probability Distributions Radom Varables ad Probablty Dstrbutos * If X : S R s a dscrete radom varable wth rage {x, x, x 3,. } the r = P (X = xr ) = * Let X : S R be a dscrete radom varable wth rage {x, x, x 3,.}.If x r P(X = x

More information

4 Linear Homogeneous Recurrence Relation 4-1 Fibonacci Rabbits. 组合数学 Combinatorics

4 Linear Homogeneous Recurrence Relation 4-1 Fibonacci Rabbits. 组合数学 Combinatorics 4 Ler Homogeeous Recurrece Relto 4- bocc Rbbts 组合数学 ombtorcs The delt of the th moth d - th moth s gve brth by the rbbts - moth. o = - + - Moth Moth Moth Moth 4 I the frst moth there s pr of ewly-bor rbbts;

More information

MATLAB PROGRAM FOR THE NUMERICAL SOLUTION OF DUHAMEL CONVOLUTION INTEGRAL

MATLAB PROGRAM FOR THE NUMERICAL SOLUTION OF DUHAMEL CONVOLUTION INTEGRAL Bullet of te Trslv Uversty of Brşov Vol 5 (54-1 Seres 1: Specl Issue No 1 MATLAB PROGRAM FOR THE NUMERICAL SOLUTION OF DUHAMEL CONVOLUTION INTEGRAL M BOTIŞ 1 Astrct: I te ler lyss of structures troug modl

More information

Z = = = = X np n. n n. npq. npq pq

Z = = = = X np n. n n. npq. npq pq Stt 4, secto 4 Goodess of Ft Ctegory Probbltes Specfed otes by Tm Plchowsk Recll bck to Lectures 6c, 84 (83 the 8 th edto d 94 whe we delt wth populto proportos Vocbulry from 6c: The pot estmte for populto

More information

Chapter 12-b Integral Calculus - Extra

Chapter 12-b Integral Calculus - Extra C - Itegrl Clulus Cpter - Itegrl Clulus - Etr Is Newto Toms Smpso BONUS Itroduto to Numerl Itegrto C - Itegrl Clulus Numerl Itegrto Ide s to do tegrl smll prts, lke te wy we preseted tegrto: summto. Numerl

More information

IFYMB002 Mathematics Business Appendix C Formula Booklet

IFYMB002 Mathematics Business Appendix C Formula Booklet Iteratoal Foudato Year (IFY IFYMB00 Mathematcs Busess Apped C Formula Booklet Related Documet: IFY Mathematcs Busess Syllabus 07/8 IFYMB00 Maths Busess Apped C Formula Booklet Cotets lease ote that the

More information

PhysicsAndMathsTutor.com

PhysicsAndMathsTutor.com PhysicsAdMthsTuto.com PhysicsAdMthsTuto.com Jue 009 7. () Sketch the gph of y, whee >, showig the coodites of the poits whee the gph meets the es. () Leve lk () Solve, >. (c) Fid the set of vlues of fo

More information