, where A is the compliment of A - the addition rule Mutually exclusive: Pr( A B)

Size: px
Start display at page:

Download ", where A is the compliment of A - the addition rule Mutually exclusive: Pr( A B)"

Transcription

1

2 Proility. Discrete Rdom Vriles: Coditiol Proility Biomil Distriutio. Cotiuous Rdom Vriles: Proility Desity Fuctios Norml Distriutio. Smplig & Estimtio Itroductio to Proility & Smple Spce Proility ssigs umeric vlue to the likelihood of evet occurrig. Proility is cocered with outcomes or results of trils i rdom eperimets. A rdom eperimet is oe where: The possile umer of outcomes is fiite. All outcomes re eqully likely. The results re ucerti. The proility tht evet occurs is: umer of outcomes for tht evet totl umer of ll possile outcomes If evet is impossile, the proility tht this evet occurs =. If evet is certi, the proility tht this evet occurs =. So, the proility tht y evet occurs is etwee d iclusive. i.e. Pr evet ) Pr A) Pr A), where A is the complimet of A Pr A B) Pr A) Pr B) Pr A B) - the dditio rule Mutully eclusive: Pr A B) Idepedet: Pr A B) Pr A) Pr B) or Pr A B) Pr A) A smple spce shows ll possile outcomes Commo smple spces re Ve digrms, Tree digrms d tles.

3 F X D r w Emple : A fmily hs three childre. Wht is the proility tht ) they re ll oys? ) The st is oy d the d d the rd re girls? c) There is oe oy d two girls? d) They re ot ll oys? Solutio: Smple Spce: Boy Boy Boy Girl Girl Boy Girl ) Pr B d B d B) = ) PrB d G d G) = 8 8 Girl specific order) c) Pr oe oy oly) order ot specific = PrBGG)+PrGBG)+PrGGB) = Boy Girl Girl Boy Boy Girl 8 d) PrTht they re ot ll oys) = Prll oys) = So o d mes X multiply) o or mes + dd)

4 F X D r w Emple. A mthemtics studet clcultes his chces of pssig the et test ccordig to the results o erlier tests. If he pssed the lst test he thiks his chces re.7 of pssig the et test. If he filed the lst test he estimtes tht the proility of pssig the et test is.. Drw proility tree digrm to illustrte the possile results otied o the et two tests, give tht he filed the previous test. Fid the proility tht o the et two tests the studet will: ) pss oth; ) pss the first ut ot the secod; c) fil the first d pss the secod; d) fil oth. Previous st Test d Test Solutio: ) Pr P d P) =..7 =. ) Pr P d F) =.. =. c) Pr F d P) =.. =. d) Pr F d F) =.. =. Note : the sum of these four swers. F.. P F.7.. P F P. F Emple. From ur cotiig 7 lue d red lls, lls re tke t rdom i) with replcemet d ii) without replcemet Fid the proility tht: ) oth lls re lue; ) the first ll is red d the secod is lue; c) oe is red d the other is lue. Solutio: 7 Blue, Red i) With Replcemet ) Pr B d B) = 7 ) Pr R d B) = 7 c) Pr R d B or B d R) = 7 i) Without Replcemet ) Pr B d B) = ) Pr R d B) = c) Pr R d B or B d R) =

5 Emple : Simo visits the detist every 6 moths for checkup. The proility tht he will eed his teeth cleed is., the proility tht he will eed fillig is. d the proility tht he will eed oth is.. Wht is the proility tht he will ot eed his teeth cleed o visit, ut will eed fillig? Wht is the proility tht she will ot eed either of these tretmets? Solutio: Let F = he will eed fillig. Let C = he will eed cle. F F Totl C... C..6.6 Totl..9 Pr C F). Pr C F). 6

6 F X D r w Emple : A mrksm ever misses the trget, ut he hs lousy im d his rrows ld ywhere o the trget. The trget comprises three cocetric circles with rdii cm, cm, d cm with score vlues of poits, poits d poit respectively. i) For y sigle shot wht is the proility tht the resultig score is: ) four? ) two? c) oe? d) zero? ii) He fires three rrows oe fter the other). Wht is the proility tht the resultig score is: ) two? ) three? c) four? d) five? e)? Solutio: Need the res of ech prt of the trget. Are of Trget = ) Are of = ) Are of = ) ) 8 Are of = ) ) 6 Let X = the score from sigle shot i) ) PrX = )= 8 8 ) PrX = )= 6 6 c) PrX = )= d) PrX = )= he ever misses) cm cm c m Let Y = the score from three shots ii) ) Pr Y =) = 6 ) PrY = ) = Pr,, ) = c) PrY = ) = Pr,, or,, or,, ) = d) Pr Y = ) = Pr,, or,, or,, ) = 96 9 e) Pr Y >) = PrY ) = 6 6 Sheet A, Sheet B Smple Spce E A,,,, 6, 8,,,,,,

7 Sheet A. From pulic opiio poll it ws foud tht out of people wted Sudy shoppig. Out of three rdomly selected people wht is the proility tht: ) ll three wted Sudy shoppig; ) oe wted Sudy shoppig; c) oly the first d third wted Sudy shoppig; d) the first d secod wted Sudy shoppig.. Perso A is treted with drug X for his prticulr ilmet. Perso B with differet complit is treted with drug Y d perso C, with differet complit gi, is treted with drug Z. Drugs X, Y, Z hve success rtes of 7 i, 8 i 9 d i respectively. Fid the proility tht: ) ll three re cured; ) oe re cured; c) oly B is cured; d) oth B d C re cured.. Bo X cotis lue lls d red lls. Bo Y cotis lue lls d 6 red lls. Oe ll is rdomly selected from ech of the oes X d Y. Fid the proility tht, of the lls tke ) oth re red; ) oth re lue; c) either re lue; d) oly oe is red hvig come from Bo X; e) oly oe is red hvig come from Bo Y; f) oly oe ll is red.. Two dice, oe white d oe lue, re tossed. The white oe is fir die d the lue oe is weighted such tht the Pr) = Pr) =., Pr) =., Pr) = Pr) = Pr6) =.. Fid the proility tht: ) 6 tured up o oth dice; ) eve umer tured up o oth dice; c) the white die showed eve umer d the lue die odd umer; d) the white die showed odd umer d the lue die eve umer; e) oe die showed odd umer d the other die eve umer. Aswers 8. ) 7. ). ) 8 7 ) ) c) c) d) d) 9 ) c) 8 d) e) 9 9 f). ) 6 ) c) d) e)

8 Sheet B. From group of studets d techers, two people re selected t rdom. Wht is the proility tht: ) o studet is selected; ) o techers re selected; c) the first perso selected is studet d the secod is techer; d) oe perso selected is studet d the other techer.. The proility tht it ris tomorrow is. If it ris tomorrow the the proility tht it is fie the et dy is. Fid the proility tht: ) it ris tomorrow d is fie the et dy; ) it ris oth dys.. Two ideticl oes X d Y coti lls. Bo X cotis red d 7 lck lls while Bo Y cotis red d 9 lck lls. A o is chose t rdom d from tht o ll is selected t rdom. Wht is the proility tht: ) Bo X ws chose d the ll ws red; ) Bo Y ws chose d the ll ws red; c) the ll ws lck d it cme from Bo X. Aswers. ) 8 ) c) 6 d) 8. ) ). ) ) c) 7

9 F X D r w. Coditiol Proility Whe you re give etr iformtio out the outcome KEYWORD: GIVEN) For coditiol proility PrA B) the proility tht A occurs give tht B hs occurred. Pr A B) Rule: Pr A B) Pr B) Two evets A d B re idepedet if the occurrece of oe evet hs o effect o the proility of the occurrece of the other. o Pr A B) Pr A) o Pr A B) Pr A) Pr B) Two types of prolems: Type Emple : A die is throw. Fid the proility tht three turs up give tht the umer is odd. Solutio: Let A = three is throw Let B = odd is throw Pr A B) Pr A B) Pr B) Pr d odd) Pr A B) Pr odd) 6 Emple : From pck of plyig crds, oe is drw. If it is hert, wht is the proility tht it is the ce of herts? Let A = ce of herts drw Let B = hert is drw Pr A B) Pr A B) Pr B) Pr ce of herts d hert) Pr A B) Pr hert) TYPE Emple : I certi VCE mthemtics emitio, % of the cdidtes were girls, d 9% of these girls pssed i mthemtics. The rest of the cdidtes were oys d 8% of these pssed i mthemtics. ) Wht ws the overll percetge of cdidtes who pssed i mthemtics? ) A rdomly selected mthemtics pper ws foud to e the pper of studet who hs pssed i mthemtics. Wht is the proility tht this studet ws girl? Solutio: Girl odd 6. odd odd' Pss Fil. 8.8 Pss Boy

10 F X D r w ) % pssed = =.87 = 87. % ) Pr Girl give tht the studet pssed) Pr Girl studet pssed ) Pr studet pssed ) = Altertive pproch: Krugh or Two-wy) Tle. Girl Boy Totl Pss Fil Totl..8. Emple : There is oly oe us service pssig m s house ech morig. If the us is o time the he rrives t work o time o verge of 9 out occsios. If the us is lte the he rrives t work o time o oly verge of out times. The us is lte % of the time. Fid the proility tht the us ws lte o dy he ws lte to work. Solutio: Bus Arrive t work.6 Lte. Lte. O time. 8. Lte O Time.9 O time Pr Bus lte kowig M ws lte for work) Pr Bus lte M lte for work )..6 Pr M lte for work ) or Bus O time Lte Totl O time Work Lte.8.. Totl

11 Emple : The proility tht Moic rememers to do her homework is.7, while the proility tht Ptrick rememers to do his homework is.. If these evets re idepedet, the wht is the proility tht: oth will do their homework Moic will do her homework ut Ptrick forgets? Solutio: Let M = Moic does her homework Let P = Ptrick does his homework Pr M P) Pr M ) Pr P).7..8 Pr M P) Pr M ) Pr P).7.6. Idepedet Idepedet E B,,,,, 7, 8, 9,,,, 7, 9

12 Discrete Proility Discrete Rdom Vriles DRV) d Discrete Proility Distriutios DPD) A DRV is vrile. The vlue of DRV is usully iteger d coutle. Some emples d o-emples of DRV s o If X = the umer of oys i fmily, X is DRV o If Y = d iigs score of cricket mtch, Y is DRV o If A = the height of Yer studet t RSC, A is ot DRV o If T = the time tke to get home, T is ot DRV. A DPD is tle with two colums or rows) tht shows ll the possile vlues of DRV with ech of its respective possiilities. Emple : Cosider fmily of three childre. i) Use proility tree to list ll the possile fmilies. ii) If the proility of girl is, fid the proility of ech of the possile fmilies iii) iv) occurrig. Fid the proility distriutio of the discrete rdom vrile, X, where X is the umer of oys i the fmily. Usig your swer to iii) fid:. PrX = ). PrX < ) c. PrX = X ) 6 d. : Pr X ) 8 e. : Pr X ) Solutio: B G B G B G B G B G B G B G BBB BBG BGB BGG GBB GBG GGB GGG

13 8 Pr BBB) Pr BBG) Pr BGB) 8 Pr BGG) ii) Pr GBB) 8 Pr GBG) 8 Pr GGB) 7 Pr GGG) iii) PrX = ) iv) ) Pr X ) ) Pr X ) Pr X or or ) or PrX =)) Pr X X ) c) Pr X X ) Pr X ) 6 6 Pr X ) Pr X ) d) Pr X ) 8 e) Pr X ) E C,,,6, 7, 9 E C,,,,, 7,

14 Epected Vlue, EX) The epected vlue, EX), is the sme s the verge, me or. The geerl rule: E X ).Pr X ) the epected vlue is equl to the sum of ech vlue of X multiplied y its proility Also: E f )) f ) Pr X ) Note: Mode: Most Commo Properties of EX) Medi: Middle vlue i) EX)= EX) Me: Averge ii) EX+)= EX)+ iii) E)= iv) EX+Y) = EX) + EY) Emple: For the followig proility distriutio, fid: PrX = ). ) EX) d) Mode. ) EX + ) e) Medi. c) EX ). Solutio: ) E X ).Pr X ) PrX = ). Pr X ) Totl.7 = EX) ) E X ) ).Pr X ) PrX = ) ).Pr X ) Totl.7 = EX+) c) E X ) ).Pr X ) PrX = ).Pr X ) Totl 8. = EX ) d) Mode: = e) Medi: = ED,,,,, 7, 8, 9, i)ii),,,, 6, 7

15 The Vrice, VrX) of DRVX) The vrice mesures the spred of distriutio. Vr X ) E X )... E X ) Pr X ) ) E X )) or Pr X ) The stdrd devitio of X, SD X ) Vr X ). Commo Nottio Me EX) Vrice VrX) Stdrd Devitio SDX) Emple: Cosider these two distriutios: PrX = ) y PrY = y) PrX = ). Pr X ).Pr X ) E X ) =.9 E X ) = 8.9 y PrY = y) y. Pr Y y) y y.pr Y y) E Y ) =.9 E Y ) = 9.8 Both distriutios hve the sme me,, ut the y-vlues hve more spred. Vr X ) E X SD X ) ) X Y Vr Y ) E Y.9 SD Y ) ).9.8

16 Emple: A o cotis three white d two red lls. The lls re tke out oe t time d ot replced) util red ll is otied. ) fid the proility distriutio for the umer of lls chose. ) How my drws do you epect util you get red? c) Fid the vrice d stdrd vrice. Solutio: Let X = the umer of lls chose. Order of lls R WR WWR WWWR PrX = ). Pr X ).Pr X ) ) EX) = c) VrX) = ) = SDX)= 9 6 E X ) = E X ) = Useful property: VAR X ) Vr X ) ED 9c, iii) c,, c, c, 6, 7

17 The reltioship etwee the me d the stdrd devitio. ) For my proility distriutios ut ot ll), out 9% of the distriutio lies withi two stdrd devitios of the me. i.e. Pr X ). 9 Emple: For the fmily of three childre, used efore, where the chce of the irth of girl ws : PrX = ). Pr X ).Pr X ) Vr X ) E X.6..7 SD X ) EX)=. EX )= 7. 6 ) ) ).897 Pr X ) Pr.97 X.897) the vlues of X the umer of oys) tht lie etwee these two umers re, &. 7 Pr X ) Pr X ).96 or 9.6% ED d, d, 6c, 7c, 8 Review questios chpter

18 The Biomil Distriutio emple of Discrete Proility The Biomil Theorem Epsios of the form Cosider: ) ) ) ) Now: ) ) ) There is ptter: the idetity, There is idetity for Ad there is for. Iterestig is tht the co-efficiets of the epsios elog to Pscl s Trigle: PASCAL S TRIANGLE Etc.. I geerl the Biomil Epsio is: r r r Here we hve the: st term, d term, rd term, the geerl term r r r d the lst term..

19 Properties of comitios: d d i geerl r r Emple: Usig the iomil epsio epd 7. Solutio: 7,, **There is lwys oe more term th the power. ** For ech term the sum of the idices dd up to ) 7) 7) 7) 7) 7) 7) 7) 7) 7) 7) 7

20 The Biomil Proility Distriutio CHARACTERISTICS I iomil eperimet,. there re two possile outcomes for ech tril. success this is the desired outcome filure this outcome is ot desired.. the proility of success is the sme for ech tril. i.e. the trils re idepedet. # Note: Trils of this type re clled BERNOULLI trils. proouced Burooey) The FORMULA for the PROBABILITY of BINOMIAL r.v. Pr X ) p p where Pr X ) = Pr gettig successes i trils) d p = PrSuccess) NB. This formul tkes ito ccout ll possile orders. Whe do you use the Biomil Distriutio? Whe the situtio hs BOTH of the chrcteristics: & This usully ivolves: * smplig with replcemet OR * smplig without replcemet from lrge popultio OR * o smplig t ll: just oservig Nottio: The rdom vrile X hs iomil distriutio with idepedet trils d p = proility of success, is writte s: e.g. X ~ Bi,.) X ~ Bi, p) or X d Bi, p) Emple: A mchie mufcturig clcultors is kow to hve defective rte of i. Fid the proility tht i smple of 6 clcultors tke t rdom: ) ectly two re defective; ) o more th re defective. possile outcomes defective or ot defective. Let X = the umer of defective clcultors. X ~ Bi6, 6 9 ) Pr X ). 98

21 ) Pr X ) Pr X ) Pr X ) Pr X 6 ) E A,,, 6, 7,,,,,, 6, 8, 9,, Usig The Grphics Clcultor Emple: A hitter hs proility of of gettig hit ech time t t, with ech t-t idepedet of other t-t. I the et times t-t, ) Wht is the proility of gettig ectly three hits? ) Wht is the proility of gettig t lest two hits?

22 The grph of the iomil proility distriutio Emple: Fid the proility distriutio of the umer of girls i fmily of three childre. Assume tht the proility of girl eig or is.. Hece grph Pr X ) versus, where X = the umer of girls i the fmily. Solutio: X ~ Bi,.) Pr X ) Pr X ) Repet for: ll comitios of =,, 8 d p =.,.,.6 = = = 8 p =. p =. p =.6 The effect of the prmeters vriles) d p o the shpe of the grph: o As the vlue of icreses, the pek of the grph shifts to the right. i.e. the epected vlue the me) icreses) o Whe p =., the curve is perfectly symmetricl. o Whe p <. the distriutio is skewed to the right or positively skewed) NOTE: Skewess refers to the til. o Whe p >. the distriutio is skewed to the left egtively skewed). E B Q,,

23 Epecttio d Vrice of the Biomil Distriutio The me of iomil distriutio DRV c e foud y: E X ).Pr X ). p The vrice of iomil distriutio DRV c e foud y: E X ) p p) The stdrd devitio : SD X ) p p). Emple: A iomil rdom vrile hs me of d vrice of. fid the prmeters d p. Solutio: X ~ Bi, p) p p p p) p p) p) p p 9 Emple: Give the 9% cofidece limits for the umer of girls i fmily of eight childre. Assume Prgirl)=.. Solutio: Let X = the umer of girls i the fmily X ~ Bi8,.) We kow: Pr X ) ).88..7) 7. Pr.88 7.) Pr 7) E B,, 6, 7, 8, 9,

24 Biomil Distriutio: Solvig for Emple: A group of people meet for fcy dress prty. Ech perso comes dressed i somethig relted to his or her zodic sig. Assume tht the proility of perso t the prty hvig prticulr zodic sig is. ) Wht is the lest umer of people who eed to tted the prty so tht the proility tht there will e t lest oe Scorpio is greter th.8? Solutio: Let X = the umer of Scorpios t the prty Pr X ).8 Pr X ). Pr X ).. solve ^., t lest 9 people ) Wht is the lest umer of people who eed to e t the prty so tht the proility tht there will e ectly Scorpios is greter th %? Solutio: = 6 CTRL T) C t use ivbiomn ) commd s it is ot Cumultive Proility.

25 c) Wht is the lest umer of people who eed to tted the prty so tht the proility of fewer th two Scorpios is closest to.8? Solutio: Pr X ).8 Pr X ).8 swer people Go to tleset put i umer, the go to tle d scroll dow to the vlue tht is closest to.8. OR E C Q,,,,, 6, 7 Chpter Review

26 Pst Em Questios 8 Em 8 Em 9 Em

27 Em 9 Em Em

28 Em Em Em

29 Em Em

30 Em Em

31 Em Em Em Em

Discrete Mathematics and Probability Theory Spring 2016 Rao and Walrand Lecture 17

Discrete Mathematics and Probability Theory Spring 2016 Rao and Walrand Lecture 17 CS 70 Discrete Mthemtics d Proility Theory Sprig 206 Ro d Wlrd Lecture 7 Vrice We hve see i the previous ote tht if we toss coi times with is p, the the expected umer of heds is p. Wht this mes is tht

More information

ENGINEERING PROBABILITY AND STATISTICS

ENGINEERING PROBABILITY AND STATISTICS ENGINEERING PROBABILITY AND STATISTICS DISPERSION, MEAN, MEDIAN, AND MODE VALUES If X, X,, X represet the vlues of rdom smple of items or oservtios, the rithmetic me of these items or oservtios, deoted

More information

Westchester Community College Elementary Algebra Study Guide for the ACCUPLACER

Westchester Community College Elementary Algebra Study Guide for the ACCUPLACER Westchester Commuity College Elemetry Alger Study Guide for the ACCUPLACER Courtesy of Aims Commuity College The followig smple questios re similr to the formt d cotet of questios o the Accuplcer Elemetry

More information

,... are the terms of the sequence. If the domain consists of the first n positive integers only, the sequence is a finite sequence.

,... are the terms of the sequence. If the domain consists of the first n positive integers only, the sequence is a finite sequence. Chpter 9 & 0 FITZGERALD MAT 50/5 SECTION 9. Sequece Defiitio A ifiite sequece is fuctio whose domi is the set of positive itegers. The fuctio vlues,,, 4,...,,... re the terms of the sequece. If the domi

More information

2017/2018 SEMESTER 1 COMMON TEST

2017/2018 SEMESTER 1 COMMON TEST 07/08 SEMESTER COMMON TEST Course : Diplom i Electroics, Computer & Commuictios Egieerig Diplom i Electroic Systems Diplom i Telemtics & Medi Techology Diplom i Electricl Egieerig with Eco-Desig Diplom

More information

GRAPHING LINEAR EQUATIONS. Linear Equations. x l ( 3,1 ) _x-axis. Origin ( 0, 0 ) Slope = change in y change in x. Equation for l 1.

GRAPHING LINEAR EQUATIONS. Linear Equations. x l ( 3,1 ) _x-axis. Origin ( 0, 0 ) Slope = change in y change in x. Equation for l 1. GRAPHING LINEAR EQUATIONS Qudrt II Qudrt I ORDERED PAIR: The first umer i the ordered pir is the -coordite d the secod umer i the ordered pir is the y-coordite. (, ) Origi ( 0, 0 ) _-is Lier Equtios Qudrt

More information

Assessment Center Elementary Algebra Study Guide for the ACCUPLACER (CPT)

Assessment Center Elementary Algebra Study Guide for the ACCUPLACER (CPT) Assessmet Ceter Elemetr Alger Stud Guide for the ACCUPLACER (CPT) The followig smple questios re similr to the formt d cotet of questios o the Accuplcer Elemetr Alger test. Reviewig these smples will give

More information

Mathacle. PSet Stats, Concepts In Statistics Level Number Name: Date:

Mathacle. PSet Stats, Concepts In Statistics Level Number Name: Date: APPENDEX I. THE RAW ALGEBRA IN STATISTICS A I-1. THE INEQUALITY Exmple A I-1.1. Solve ech iequlity. Write the solutio i the itervl ottio..) 2 p - 6 p -8.) 2x- 3 < 5 Solutio:.). - 4 p -8 p³ 2 or pî[2, +

More information

EXPONENTS AND LOGARITHMS

EXPONENTS AND LOGARITHMS 978--07-6- Mthemtis Stdrd Level for IB Diplom Eerpt EXPONENTS AND LOGARITHMS WHAT YOU NEED TO KNOW The rules of epoets: m = m+ m = m ( m ) = m m m = = () = The reltioship etwee epoets d rithms: = g where

More information

Section 6.3: Geometric Sequences

Section 6.3: Geometric Sequences 40 Chpter 6 Sectio 6.: Geometric Sequeces My jobs offer ul cost-of-livig icrese to keep slries cosistet with ifltio. Suppose, for exmple, recet college grdute fids positio s sles mger erig ul slry of $6,000.

More information

Fundamentals of Mathematics. Pascal s Triangle An Investigation March 20, 2008 Mario Soster

Fundamentals of Mathematics. Pascal s Triangle An Investigation March 20, 2008 Mario Soster Fudmetls of Mthemtics Pscl s Trigle A Ivestigtio Mrch 0, 008 Mrio Soster Historicl Timelie A trigle showig the iomil coefficiets pper i Idi ook i the 0 th cetury I the th cetury Chiese mthemtici Yg Hui

More information

: : 8.2. Test About a Population Mean. STT 351 Hypotheses Testing Case I: A Normal Population with Known. - null hypothesis states 0

: : 8.2. Test About a Population Mean. STT 351 Hypotheses Testing Case I: A Normal Population with Known. - null hypothesis states 0 8.2. Test About Popultio Me. Cse I: A Norml Popultio with Kow. H - ull hypothesis sttes. X1, X 2,..., X - rdom smple of size from the orml popultio. The the smple me X N, / X X Whe H is true. X 8.2.1.

More information

Students must always use correct mathematical notation, not calculator notation. the set of positive integers and zero, {0,1, 2, 3,...

Students must always use correct mathematical notation, not calculator notation. the set of positive integers and zero, {0,1, 2, 3,... Appedices Of the vrious ottios i use, the IB hs chose to dopt system of ottio bsed o the recommedtios of the Itertiol Orgiztio for Stdrdiztio (ISO). This ottio is used i the emitio ppers for this course

More information

Student Success Center Elementary Algebra Study Guide for the ACCUPLACER (CPT)

Student Success Center Elementary Algebra Study Guide for the ACCUPLACER (CPT) Studet Success Ceter Elemetry Algebr Study Guide for the ACCUPLACER (CPT) The followig smple questios re similr to the formt d cotet of questios o the Accuplcer Elemetry Algebr test. Reviewig these smples

More information

Accuplacer Elementary Algebra Study Guide

Accuplacer Elementary Algebra Study Guide Testig Ceter Studet Suess Ceter Aupler Elemetry Alger Study Guide The followig smple questios re similr to the formt d otet of questios o the Aupler Elemetry Alger test. Reviewig these smples will give

More information

Approximate Integration

Approximate Integration Study Sheet (7.7) Approimte Itegrtio I this sectio, we will ler: How to fid pproimte vlues of defiite itegrls. There re two situtios i which it is impossile to fid the ect vlue of defiite itegrl. Situtio:

More information

Graphing Review Part 3: Polynomials

Graphing Review Part 3: Polynomials Grphig Review Prt : Polomils Prbols Recll, tht the grph of f ( ) is prbol. It is eve fuctio, hece it is smmetric bout the bout the -is. This mes tht f ( ) f ( ). Its grph is show below. The poit ( 0,0)

More information

Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J.

Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J. Probbility d Stochstic Processes: A Friedly Itroductio for Electricl d Computer Egieers Roy D. Ytes d Dvid J. Goodm Problem Solutios : Ytes d Goodm,4..4 4..4 4..7 4.4. 4.4. 4..6 4.6.8 4.6.9 4.7.4 4.7.

More information

( ) 2 3 ( ) I. Order of operations II. Scientific Notation. Simplify. Write answers in scientific notation. III.

( ) 2 3 ( ) I. Order of operations II. Scientific Notation. Simplify. Write answers in scientific notation. III. Assessmet Ceter Elemetry Alger Study Guide for the ACCUPLACER (CPT) The followig smple questios re similr to the formt d otet of questios o the Aupler Elemetry Alger test. Reviewig these smples will give

More information

Limit of a function:

Limit of a function: - Limit of fuctio: We sy tht f ( ) eists d is equl with (rel) umer L if f( ) gets s close s we wt to L if is close eough to (This defiitio c e geerlized for L y syig tht f( ) ecomes s lrge (or s lrge egtive

More information

Taylor Polynomials. The Tangent Line. (a, f (a)) and has the same slope as the curve y = f (x) at that point. It is the best

Taylor Polynomials. The Tangent Line. (a, f (a)) and has the same slope as the curve y = f (x) at that point. It is the best Tylor Polyomils Let f () = e d let p() = 1 + + 1 + 1 6 3 Without usig clcultor, evlute f (1) d p(1) Ok, I m still witig With little effort it is possible to evlute p(1) = 1 + 1 + 1 (144) + 6 1 (178) =

More information

Week 13 Notes: 1) Riemann Sum. Aim: Compute Area Under a Graph. Suppose we want to find out the area of a graph, like the one on the right:

Week 13 Notes: 1) Riemann Sum. Aim: Compute Area Under a Graph. Suppose we want to find out the area of a graph, like the one on the right: Week 1 Notes: 1) Riem Sum Aim: Compute Are Uder Grph Suppose we wt to fid out the re of grph, like the oe o the right: We wt to kow the re of the red re. Here re some wys to pproximte the re: We cut the

More information

Section IV.6: The Master Method and Applications

Section IV.6: The Master Method and Applications Sectio IV.6: The Mster Method d Applictios Defiitio IV.6.1: A fuctio f is symptoticlly positive if d oly if there exists rel umer such tht f(x) > for ll x >. A cosequece of this defiitio is tht fuctio

More information

SM2H. Unit 2 Polynomials, Exponents, Radicals & Complex Numbers Notes. 3.1 Number Theory

SM2H. Unit 2 Polynomials, Exponents, Radicals & Complex Numbers Notes. 3.1 Number Theory SMH Uit Polyomils, Epoets, Rdicls & Comple Numbers Notes.1 Number Theory .1 Addig, Subtrctig, d Multiplyig Polyomils Notes Moomil: A epressio tht is umber, vrible, or umbers d vribles multiplied together.

More information

Logarithmic Scales: the most common example of these are ph, sound and earthquake intensity.

Logarithmic Scales: the most common example of these are ph, sound and earthquake intensity. Numercy Itroductio to Logrithms Logrithms re commoly credited to Scottish mthemtici med Joh Npier who costructed tle of vlues tht llowed multiplictios to e performed y dditio of the vlues from the tle.

More information

Inference on One Population Mean Hypothesis Testing

Inference on One Population Mean Hypothesis Testing Iferece o Oe Popultio Me ypothesis Testig Scerio 1. Whe the popultio is orml, d the popultio vrice is kow i. i. d. Dt : X 1, X,, X ~ N(, ypothesis test, for istce: Exmple: : : : : : 5'7" (ull hypothesis:

More information

Discrete Mathematics I Tutorial 12

Discrete Mathematics I Tutorial 12 Discrete Mthemtics I Tutoril Refer to Chpter 4., 4., 4.4. For ech of these sequeces fid recurrece reltio stisfied by this sequece. (The swers re ot uique becuse there re ifiitely my differet recurrece

More information

PROGRESSIONS AND SERIES

PROGRESSIONS AND SERIES PROGRESSIONS AND SERIES A sequece is lso clled progressio. We ow study three importt types of sequeces: () The Arithmetic Progressio, () The Geometric Progressio, () The Hrmoic Progressio. Arithmetic Progressio.

More information

Laws of Integral Indices

Laws of Integral Indices A Lws of Itegrl Idices A. Positive Itegrl Idices I, is clled the se, is clled the idex lso clled the expoet. mes times.... Exmple Simplify 5 6 c Solutio 8 5 6 c 6 Exmple Simplify Solutio The results i

More information

2015/2016 SEMESTER 2 SEMESTRAL EXAMINATION

2015/2016 SEMESTER 2 SEMESTRAL EXAMINATION 05/06 SEMESTER SEMESTRA EXAMINATION Course : Diplom i Electroics, Computer & Commuictios Egieerig Diplom i Aerospce Systems & Mgemet Diplom i Electricl Egieerig with Eco-Desig Diplom i Mechtroics Egieerig

More information

Pre-Calculus - Chapter 3 Sections Notes

Pre-Calculus - Chapter 3 Sections Notes Pre-Clculus - Chpter 3 Sectios 3.1-3.4- Notes Properties o Epoets (Review) 1. ( )( ) = + 2. ( ) =, (c) = 3. 0 = 1 4. - = 1/( ) 5. 6. c Epoetil Fuctios (Sectio 3.1) Deiitio o Epoetil Fuctios The uctio deied

More information

0 otherwise. sin( nx)sin( kx) 0 otherwise. cos( nx) sin( kx) dx 0 for all integers n, k.

0 otherwise. sin( nx)sin( kx) 0 otherwise. cos( nx) sin( kx) dx 0 for all integers n, k. . Computtio of Fourier Series I this sectio, we compute the Fourier coefficiets, f ( x) cos( x) b si( x) d b, i the Fourier series To do this, we eed the followig result o the orthogolity of the trigoometric

More information

 n. A Very Interesting Example + + = d. + x3. + 5x4. math 131 power series, part ii 7. One of the first power series we examined was. 2!

 n. A Very Interesting Example + + = d. + x3. + 5x4. math 131 power series, part ii 7. One of the first power series we examined was. 2! mth power series, prt ii 7 A Very Iterestig Emple Oe of the first power series we emied ws! + +! + + +!! + I Emple 58 we used the rtio test to show tht the itervl of covergece ws (, ) Sice the series coverges

More information

[Q. Booklet Number]

[Q. Booklet Number] 6 [Q. Booklet Numer] KOLKATA WB- B-J J E E - 9 MATHEMATICS QUESTIONS & ANSWERS. If C is the reflecto of A (, ) i -is d B is the reflectio of C i y-is, the AB is As : Hits : A (,); C (, ) ; B (, ) y A (,

More information

Mathacle. PSet Stats, Concepts In Statistics Level Number Name: Date: Hypothesis Test We assume, calculate and conclude.

Mathacle. PSet Stats, Concepts In Statistics Level Number Name: Date: Hypothesis Test We assume, calculate and conclude. Hypothesis Test We ssume, clculte d coclude. VIII. HYPOTHESIS TEST 8.. P-Vlue, Test Sttistic d Hypothesis Test [MATH] Terms for the mkig hypothesis test. Assume tht the uderlyig distributios re either

More information

( x y ) x y. a b. a b. Chapter 2Properties of Exponents and Scientific Notation. x x. x y, Example: (x 2 )(x 4 ) = x 6.

( x y ) x y. a b. a b. Chapter 2Properties of Exponents and Scientific Notation. x x. x y, Example: (x 2 )(x 4 ) = x 6. Chpter Properties of Epoets d Scietific Nottio Epoet - A umer or symol, s i ( + y), plced to the right of d ove other umer, vrile, or epressio (clled the se), deotig the power to which the se is to e rised.

More information

Lecture 2. Rational Exponents and Radicals. 36 y. b can be expressed using the. Rational Exponent, thus b. b can be expressed using the

Lecture 2. Rational Exponents and Radicals. 36 y. b can be expressed using the. Rational Exponent, thus b. b can be expressed using the Lecture. Rtiol Epoets d Rdicls Rtiol Epoets d Rdicls Lier Equtios d Iequlities i Oe Vrile Qudrtic Equtios Appedi A6 Nth Root - Defiitio Rtiol Epoets d Rdicls For turl umer, c e epressed usig the r is th

More information

Prior distributions. July 29, 2002

Prior distributions. July 29, 2002 Prior distributios Aledre Tchourbov PKI 357, UNOmh, South 67th St. Omh, NE 688-694, USA Phoe: 4554-64 E-mil: tchourb@cse.ul.edu July 9, Abstrct This documet itroduces prior distributios for the purposes

More information

is an ordered list of numbers. Each number in a sequence is a term of a sequence. n-1 term

is an ordered list of numbers. Each number in a sequence is a term of a sequence. n-1 term Mthemticl Ptters. Arithmetic Sequeces. Arithmetic Series. To idetify mthemticl ptters foud sequece. To use formul to fid the th term of sequece. To defie, idetify, d pply rithmetic sequeces. To defie rithmetic

More information

Synopsis Grade 12 Math Part II

Synopsis Grade 12 Math Part II Syopsis Grde 1 Mth Prt II Chpter 7: Itegrls d Itegrtio is the iverse process of differetitio. If f ( ) g ( ), the we c write g( ) = f () + C. This is clled the geerl or the idefiite itegrl d C is clled

More information

INFINITE SERIES. ,... having infinite number of terms is called infinite sequence and its indicated sum, i.e., a 1

INFINITE SERIES. ,... having infinite number of terms is called infinite sequence and its indicated sum, i.e., a 1 Appedix A.. Itroductio As discussed i the Chpter 9 o Sequeces d Series, sequece,,...,,... hvig ifiite umber of terms is clled ifiite sequece d its idicted sum, i.e., + + +... + +... is clled ifite series

More information

PEPERIKSAAN PERCUBAAN SPM TAHUN 2007 ADDITIONAL MATHEMATICS. Form Five. Paper 2. Two hours and thirty minutes

PEPERIKSAAN PERCUBAAN SPM TAHUN 2007 ADDITIONAL MATHEMATICS. Form Five. Paper 2. Two hours and thirty minutes SULIT 347/ 347/ Form Five Additiol Mthemtics Pper September 007 ½ hours PEPERIKSAAN PERCUBAAN SPM TAHUN 007 ADDITIONAL MATHEMATICS Form Five Pper Two hours d thirty miutes DO NOT OPEN THIS QUESTION PAPER

More information

* power rule: * fraction raised to negative exponent: * expanded power rule:

* power rule: * fraction raised to negative exponent: * expanded power rule: Mth 15 Iteredite Alger Stud Guide for E 3 (Chpters 7, 8, d 9) You use 3 5 ote crd (oth sides) d scietific clcultor. You re epected to kow (or hve writte o our ote crd) foruls ou eed. Thik out rules d procedures

More information

BITSAT MATHEMATICS PAPER. If log 0.0( ) log 0.( ) the elogs to the itervl (, ] () (, ] [,+ ). The poit of itersectio of the lie joiig the poits i j k d i+ j+ k with the ple through the poits i+ j k, i

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

Chapter Real Numbers

Chapter Real Numbers Chpter. - Rel Numbers Itegers: coutig umbers, zero, d the egtive of the coutig umbers. ex: {,-3, -, -,,,, 3, } Rtiol Numbers: quotiets of two itegers with ozero deomitor; termitig or repetig decimls. ex:

More information

National Quali cations AHEXEMPLAR PAPER ONLY

National Quali cations AHEXEMPLAR PAPER ONLY Ntiol Quli ctios AHEXEMPLAR PAPER ONLY EP/AH/0 Mthemtics Dte Not pplicble Durtio hours Totl mrks 00 Attempt ALL questios. You my use clcultor. Full credit will be give oly to solutios which coti pproprite

More information

The Exponential Function

The Exponential Function The Epoetil Fuctio Defiitio: A epoetil fuctio with bse is defied s P for some costt P where 0 d. The most frequetly used bse for epoetil fuctio is the fmous umber e.788... E.: It hs bee foud tht oyge cosumptio

More information

Mathematics Last Minutes Review

Mathematics Last Minutes Review Mthemtics Lst Miutes Review 60606 Form 5 Fil Emitio Dte: 6 Jue 06 (Thursdy) Time: 09:00-:5 (Pper ) :45-3:00 (Pper ) Veue: School Hll Chpters i Form 5 Chpter : Bsic Properties of Circles Chpter : Tgets

More information

The total number of permutations of S is n!. We denote the set of all permutations of S by

The total number of permutations of S is n!. We denote the set of all permutations of S by DETERMINNTS. DEFINITIONS Def: Let S {,,, } e the set of itegers from to, rrged i scedig order. rerrgemet jjj j of the elemets of S is clled permuttio of S. S. The totl umer of permuttios of S is!. We deote

More information

Lincoln Land Community College Placement and Testing Office

Lincoln Land Community College Placement and Testing Office Licol Ld Commuity College Plcemet d Testig Office Elemetry Algebr Study Guide for the ACCUPLACER (CPT) A totl of questios re dmiistered i this test. The first type ivolves opertios with itegers d rtiol

More information

Unit 1. Extending the Number System. 2 Jordan School District

Unit 1. Extending the Number System. 2 Jordan School District Uit Etedig the Number System Jord School District Uit Cluster (N.RN. & N.RN.): Etedig Properties of Epoets Cluster : Etedig properties of epoets.. Defie rtiol epoets d eted the properties of iteger epoets

More information

Fig. 1. I a. V ag I c. I n. V cg. Z n Z Y. I b. V bg

Fig. 1. I a. V ag I c. I n. V cg. Z n Z Y. I b. V bg ymmetricl Compoets equece impedces Although the followig focuses o lods, the results pply eqully well to lies, or lies d lods. Red these otes together with sectios.6 d.9 of text. Cosider the -coected lced

More information

GRADE 12 SEPTEMBER 2016 MATHEMATICS P1

GRADE 12 SEPTEMBER 2016 MATHEMATICS P1 NATIONAL SENIOR CERTIFICATE GRADE SEPTEMBER 06 MATHEMATICS P MARKS: 50 TIME: 3 hours *MATHE* This questio pper cosists of pges icludig iformtio sheet MATHEMATICS P (EC/SEPTEMBER 06 INSTRUCTIONS AND INFORMATION

More information

Surds, Indices, and Logarithms Radical

Surds, Indices, and Logarithms Radical MAT 6 Surds, Idices, d Logrithms Rdicl Defiitio of the Rdicl For ll rel, y > 0, d ll itegers > 0, y if d oly if y where is the ide is the rdicl is the rdicd. Surds A umber which c be epressed s frctio

More information

General properties of definite integrals

General properties of definite integrals Roerto s Notes o Itegrl Clculus Chpter 4: Defiite itegrls d the FTC Sectio Geerl properties of defiite itegrls Wht you eed to kow lredy: Wht defiite Riem itegrl is. Wht you c ler here: Some key properties

More information

INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS)

INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS) Mthemtics Revisio Guides Itegrtig Trig, Log d Ep Fuctios Pge of MK HOME TUITION Mthemtics Revisio Guides Level: AS / A Level AQA : C Edecel: C OCR: C OCR MEI: C INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS)

More information

(1) Functions A relationship between two variables that assigns to each element in the domain exactly one element in the range.

(1) Functions A relationship between two variables that assigns to each element in the domain exactly one element in the range. -. ALGEBRA () Fuctios A reltioship etwee two vriles tht ssigs to ech elemet i the domi ectly oe elemet i the rge. () Fctorig Aother ottio for fuctio of is f e.g. Domi: The domi of fuctio Rge: The rge of

More information

Eigenfunction Expansion. For a given function on the internal a x b the eigenfunction expansion of f(x):

Eigenfunction Expansion. For a given function on the internal a x b the eigenfunction expansion of f(x): Eigefuctio Epsio: For give fuctio o the iterl the eigefuctio epsio of f(): f ( ) cmm( ) m 1 Eigefuctio Epsio (Geerlized Fourier Series) To determie c s we multiply oth sides y Φ ()r() d itegrte: f ( )

More information

Summary: Binomial Expansion...! r. where

Summary: Binomial Expansion...! r. where Summy: Biomil Epsio 009 M Teo www.techmejcmth-sg.wes.com ) Re-cp of Additiol Mthemtics Biomil Theoem... whee )!!(! () The fomul is ville i MF so studets do ot eed to memoise it. () The fomul pplies oly

More information

Important Facts You Need To Know/Review:

Important Facts You Need To Know/Review: Importt Fcts You Need To Kow/Review: Clculus: If fuctio is cotiuous o itervl I, the its grph is coected o I If f is cotiuous, d lim g Emple: lim eists, the lim lim f g f g d lim cos cos lim 3 si lim, t

More information

3 Monte Carlo Methods

3 Monte Carlo Methods 3 Mote Crlo Methods Brodly spekig, Mote Crlo method is y techique tht employs rdomess s tool to clculte, estimte, or simply ivestigte qutity of iterest. Mote Crlo methods c e used i pplictios s diverse

More information

Numbers (Part I) -- Solutions

Numbers (Part I) -- Solutions Ley College -- For AMATYC SML Mth Competitio Cochig Sessios v.., [/7/00] sme s /6/009 versio, with presettio improvemets Numbers Prt I) -- Solutios. The equtio b c 008 hs solutio i which, b, c re distict

More information

1. (25 points) Use the limit definition of the definite integral and the sum formulas to compute. [1 x + x2

1. (25 points) Use the limit definition of the definite integral and the sum formulas to compute. [1 x + x2 Mth 3, Clculus II Fil Exm Solutios. (5 poits) Use the limit defiitio of the defiite itegrl d the sum formuls to compute 3 x + x. Check your swer by usig the Fudmetl Theorem of Clculus. Solutio: The limit

More information

YOUR FINAL IS THURSDAY, MAY 24 th from 10:30 to 12:15

YOUR FINAL IS THURSDAY, MAY 24 th from 10:30 to 12:15 Algebr /Trig Fil Em Study Guide (Sprig Semester) Mrs. Duphy YOUR FINAL IS THURSDAY, MAY 4 th from 10:30 to 1:15 Iformtio About the Fil Em The fil em is cumultive for secod semester, coverig Chpters, 3,

More information

the midpoint of the ith subinterval, and n is even for

the midpoint of the ith subinterval, and n is even for Mth4 Project I (TI 89) Nme: Riem Sums d Defiite Itegrls The re uder the grph of positive fuctio is give y the defiite itegrl of the fuctio. The defiite itegrl c e pproimted y the followig sums: Left Riem

More information

Elementary Linear Algebra

Elementary Linear Algebra Elemetry Lier Alger Ato & Rorres, th Editio Lecture Set Chpter : Systems of Lier Equtios & Mtrices Chpter Cotets Itroductio to System of Lier Equtios Gussi Elimitio Mtrices d Mtri Opertios Iverses; Rules

More information

HIGHER SCHOOL CERTIFICATE EXAMINATION MATHEMATICS 3 UNIT (ADDITIONAL) AND 3/4 UNIT (COMMON) Time allowed Two hours (Plus 5 minutes reading time)

HIGHER SCHOOL CERTIFICATE EXAMINATION MATHEMATICS 3 UNIT (ADDITIONAL) AND 3/4 UNIT (COMMON) Time allowed Two hours (Plus 5 minutes reading time) HIGHER SCHOOL CERTIFICATE EXAMINATION 999 MATHEMATICS 3 UNIT (ADDITIONAL) AND 3/ UNIT (COMMON) Time llowed Two hours (Plus 5 miutes redig time) DIRECTIONS TO CANDIDATES Attempt ALL questios. ALL questios

More information

EXERCISE a a a 5. + a 15 NEETIIT.COM

EXERCISE a a a 5. + a 15 NEETIIT.COM - Dowlod our droid App. Sigle choice Type Questios EXERCISE -. The first term of A.P. of cosecutive iteger is p +. The sum of (p + ) terms of this series c be expressed s () (p + ) () (p + ) (p + ) ()

More information

is continuous at x 2 and g(x) 2. Oil spilled from a ruptured tanker spreads in a circle whose area increases at a

is continuous at x 2 and g(x) 2. Oil spilled from a ruptured tanker spreads in a circle whose area increases at a . Cosider two fuctios f () d g () defied o itervl I cotiig. f () is cotiuous t d g() is discotiuous t. Which of the followig is true bout fuctios f g d f g, the sum d the product of f d g, respectively?

More information

1.3 Continuous Functions and Riemann Sums

1.3 Continuous Functions and Riemann Sums mth riem sums, prt 0 Cotiuous Fuctios d Riem Sums I Exmple we sw tht lim Lower() = lim Upper() for the fuctio!! f (x) = + x o [0, ] This is o ccidet It is exmple of the followig theorem THEOREM Let f be

More information

4. When is the particle speeding up? Why? 5. When is the particle slowing down? Why?

4. When is the particle speeding up? Why? 5. When is the particle slowing down? Why? AB CALCULUS: 5.3 Positio vs Distce Velocity vs. Speed Accelertio All the questios which follow refer to the grph t the right.. Whe is the prticle movig t costt speed?. Whe is the prticle movig to the right?

More information

UNIT 4 EXTENDING THE NUMBER SYSTEM Lesson 1: Working with the Number System Instruction

UNIT 4 EXTENDING THE NUMBER SYSTEM Lesson 1: Working with the Number System Instruction Lesso : Workig with the Nuber Syste Istructio Prerequisite Skills This lesso requires the use of the followig skills: evlutig expressios usig the order of opertios evlutig expoetil expressios ivolvig iteger

More information

Chapter Real Numbers

Chapter Real Numbers Chpter. - Rel Numbers Itegers: coutig umbers, zero, d the egtive of the coutig umbers. ex: {,-3, -, -, 0,,, 3, } Rtiol Numbers: quotiets of two itegers with ozero deomitor; termitig or repetig decimls.

More information

Project 3: Using Identities to Rewrite Expressions

Project 3: Using Identities to Rewrite Expressions MAT 5 Projet 3: Usig Idetities to Rewrite Expressios Wldis I lger, equtios tht desrie properties or ptters re ofte lled idetities. Idetities desrie expressio e repled with equl or equivlet expressio tht

More information

( ) dx ; f ( x ) is height and Δx is

( ) dx ; f ( x ) is height and Δx is Mth : 6.3 Defiite Itegrls from Riem Sums We just sw tht the exct re ouded y cotiuous fuctio f d the x xis o the itervl x, ws give s A = lim A exct RAM, where is the umer of rectgles i the Rectgulr Approximtio

More information

FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES. To a 2π-periodic function f(x) we will associate a trigonometric series. a n cos(nx) + b n sin(nx),

FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES. To a 2π-periodic function f(x) we will associate a trigonometric series. a n cos(nx) + b n sin(nx), FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES To -periodic fuctio f() we will ssocite trigoometric series + cos() + b si(), or i terms of the epoetil e i, series of the form c e i. Z For most of the

More information

MTH 146 Class 16 Notes

MTH 146 Class 16 Notes MTH 46 Clss 6 Notes 0.4- Cotiued Motivtio: We ow cosider the rc legth of polr curve. Suppose we wish to fid the legth of polr curve curve i terms of prmetric equtios s: r f where b. We c view the cos si

More information

ALGEBRA II CHAPTER 7 NOTES. Name

ALGEBRA II CHAPTER 7 NOTES. Name ALGEBRA II CHAPTER 7 NOTES Ne Algebr II 7. th Roots d Rtiol Expoets Tody I evlutig th roots of rel ubers usig both rdicl d rtiol expoet ottio. I successful tody whe I c evlute th roots. It is iportt for

More information

Algebra II, Chapter 7. Homework 12/5/2016. Harding Charter Prep Dr. Michael T. Lewchuk. Section 7.1 nth roots and Rational Exponents

Algebra II, Chapter 7. Homework 12/5/2016. Harding Charter Prep Dr. Michael T. Lewchuk. Section 7.1 nth roots and Rational Exponents Algebr II, Chpter 7 Hrdig Chrter Prep 06-07 Dr. Michel T. Lewchuk Test scores re vilble olie. I will ot discuss the test. st retke opportuit Sturd Dec. If ou hve ot tke the test, it is our resposibilit

More information

8.1 Arc Length. What is the length of a curve? How can we approximate it? We could do it following the pattern we ve used before

8.1 Arc Length. What is the length of a curve? How can we approximate it? We could do it following the pattern we ve used before 8.1 Arc Legth Wht is the legth of curve? How c we pproximte it? We could do it followig the ptter we ve used efore Use sequece of icresigly short segmets to pproximte the curve: As the segmets get smller

More information

( a n ) converges or diverges.

( a n ) converges or diverges. Chpter Ifiite Series Pge of Sectio E Rtio Test Chpter : Ifiite Series By the ed of this sectio you will be ble to uderstd the proof of the rtio test test series for covergece by pplyig the rtio test pprecite

More information

Topic 4 Fourier Series. Today

Topic 4 Fourier Series. Today Topic 4 Fourier Series Toy Wves with repetig uctios Sigl geertor Clssicl guitr Pio Ech istrumet is plyig sigle ote mile C 6Hz) st hrmoic hrmoic 3 r hrmoic 4 th hrmoic 6Hz 5Hz 783Hz 44Hz A sigle ote will

More information

z line a) Draw the single phase equivalent circuit. b) Calculate I BC.

z line a) Draw the single phase equivalent circuit. b) Calculate I BC. ECE 2260 F 08 HW 7 prob 4 solutio EX: V gyb' b' b B V gyc' c' c C = 101 0 V = 1 + j0.2 Ω V gyb' = 101 120 V = 6 + j0. Ω V gyc' = 101 +120 V z LΔ = 9 j1.5 Ω ) Drw the sigle phse equivlet circuit. b) Clculte

More information

Discrete Random Variables: Expectation, Mean and Variance

Discrete Random Variables: Expectation, Mean and Variance Discrete Rdom Vriles: ecttio Me d Vrice Berli Che Dertmet of Comuter Sciece & Iformtio gieerig Ntiol Tiw Norml Uiversity Referece: - D. P. Bertseks J. N. Tsitsiklis Itroductio to Proility Sectios.3-.4

More information

Discrete Random Variables: Expectation, Mean and Variance

Discrete Random Variables: Expectation, Mean and Variance Discrete Rdom Vriles: ecttio Me d Vrice Berli Che Dertmet of Comuter Sciece & Iformtio gieerig Ntiol Tiw Norml Uiversity Referece: - D. P. Bertseks J. N. Tsitsiklis Itroductio to Proility Sectios.3-.4

More information

f ( x) ( ) dx =

f ( x) ( ) dx = Defiite Itegrls & Numeric Itegrtio Show ll work. Clcultor permitted o, 6,, d Multiple Choice. (Clcultor Permitted) If the midpoits of equl-width rectgles is used to pproximte the re eclosed etwee the x-xis

More information

B. Examples 1. Finite Sums finite sums are an example of Riemann Sums in which each subinterval has the same length and the same x i

B. Examples 1. Finite Sums finite sums are an example of Riemann Sums in which each subinterval has the same length and the same x i Mth 06 Clculus Sec. 5.: The Defiite Itegrl I. Riem Sums A. Def : Give y=f(x):. Let f e defied o closed itervl[,].. Prtitio [,] ito suitervls[x (i-),x i ] of legth Δx i = x i -x (i-). Let P deote the prtitio

More information

Name: A2RCC Midterm Review Unit 1: Functions and Relations Know your parent functions!

Name: A2RCC Midterm Review Unit 1: Functions and Relations Know your parent functions! Nme: ARCC Midterm Review Uit 1: Fuctios d Reltios Kow your pret fuctios! 1. The ccompyig grph shows the mout of rdio-ctivity over time. Defiitio of fuctio. Defiitio of 1-1. Which digrm represets oe-to-oe

More information

334 MATHS SERIES DSE MATHS PREVIEW VERSION B SAMPLE TEST & FULL SOLUTION

334 MATHS SERIES DSE MATHS PREVIEW VERSION B SAMPLE TEST & FULL SOLUTION MATHS SERIES DSE MATHS PREVIEW VERSION B SAMPLE TEST & FULL SOLUTION TEST SAMPLE TEST III - P APER Questio Distributio INSTRUCTIONS:. Attempt ALL questios.. Uless otherwise specified, ll worig must be

More information

Similar idea to multiplication in N, C. Divide and conquer approach provides unexpected improvements. Naïve matrix multiplication

Similar idea to multiplication in N, C. Divide and conquer approach provides unexpected improvements. Naïve matrix multiplication Next. Covered bsics of simple desig techique (Divided-coquer) Ch. of the text.. Next, Strsse s lgorithm. Lter: more desig d coquer lgorithms: MergeSort. Solvig recurreces d the Mster Theorem. Similr ide

More information

{ } { S n } is monotonically decreasing if Sn

{ } { S n } is monotonically decreasing if Sn Sequece A sequece is fuctio whose domi of defiitio is the set of turl umers. Or it c lso e defied s ordered set. Nottio: A ifiite sequece is deoted s { } S or { S : N } or { S, S, S,...} or simply s {

More information

Math1242 Project I (TI 84) Name:

Math1242 Project I (TI 84) Name: Mth4 Project I (TI 84) Nme: Riem Sums d Defiite Itegrls The re uder the grph of positive fuctio is give y the defiite itegrl of the fuctio. The defiite itegrl c e pproimted y the followig sums: Left Riem

More information

Indices and Logarithms

Indices and Logarithms the Further Mthemtics etwork www.fmetwork.org.uk V 7 SUMMARY SHEET AS Core Idices d Logrithms The mi ides re AQA Ed MEI OCR Surds C C C C Lws of idices C C C C Zero, egtive d frctiol idices C C C C Bsic

More information

( ) k ( ) 1 T n 1 x = xk. Geometric series obtained directly from the definition. = 1 1 x. See also Scalars 9.1 ADV-1: lim n.

( ) k ( ) 1 T n 1 x = xk. Geometric series obtained directly from the definition. = 1 1 x. See also Scalars 9.1 ADV-1: lim n. Sclrs-9.0-ADV- Algebric Tricks d Where Tylor Polyomils Come From 207.04.07 A.docx Pge of Algebric tricks ivolvig x. You c use lgebric tricks to simplify workig with the Tylor polyomils of certi fuctios..

More information

ELEG 3143 Probability & Stochastic Process Ch. 5 Elements of Statistics

ELEG 3143 Probability & Stochastic Process Ch. 5 Elements of Statistics Deprtet of Electricl Egieerig Uiversity of Arkss ELEG 3143 Probbility & Stochstic Process Ch. 5 Eleets of Sttistics Dr. Jigxi Wu wuj@urk.edu OUTLINE Itroductio: wht is sttistics? Sple e d sple vrice Cofidece

More information

Fourier Series. Topic 4 Fourier Series. sin. sin. Fourier Series. Fourier Series. Fourier Series. sin. b n. a n. sin

Fourier Series. Topic 4 Fourier Series. sin. sin. Fourier Series. Fourier Series. Fourier Series. sin. b n. a n. sin Topic Fourier Series si Fourier Series Music is more th just pitch mplitue it s lso out timre. The richess o sou or ote prouce y musicl istrumet is escrie i terms o sum o umer o istict requecies clle hrmoics.

More information

Continuous Random Variables Class 5, Jeremy Orloff and Jonathan Bloom

Continuous Random Variables Class 5, Jeremy Orloff and Jonathan Bloom Lerning Gols Continuous Rndom Vriles Clss 5, 8.05 Jeremy Orloff nd Jonthn Bloom. Know the definition of continuous rndom vrile. 2. Know the definition of the proility density function (pdf) nd cumultive

More information

Summer Math Requirement Algebra II Review For students entering Pre- Calculus Theory or Pre- Calculus Honors

Summer Math Requirement Algebra II Review For students entering Pre- Calculus Theory or Pre- Calculus Honors Suer Mth Requireet Algebr II Review For studets eterig Pre- Clculus Theory or Pre- Clculus Hoors The purpose of this pcket is to esure tht studets re prepred for the quick pce of Pre- Clculus. The Topics

More information

Crushed Notes on MATH132: Calculus

Crushed Notes on MATH132: Calculus Mth 13, Fll 011 Siyg Yg s Outlie Crushed Notes o MATH13: Clculus The otes elow re crushed d my ot e ect This is oly my ow cocise overview of the clss mterils The otes I put elow should ot e used to justify

More information