Harold s Calculus Notes Cheat Sheet 26 April 2016

Size: px
Start display at page:

Download "Harold s Calculus Notes Cheat Sheet 26 April 2016"

Transcription

1 Hrol s Clculus Notes Chet Sheet 26 April 206 AP Clculus Limits Defiitio of Limit Let f e fuctio efie o ope itervl cotiig c let L e rel umer. The sttemet: lim x f(x) = L mes tht for ech ε > 0 there exists δ > 0 such tht if 0 < x < δ, the f(x) L < ε Tip : Direct sustitutio: Plug i f() see if it provies legl swer. If so the L = f(). The Existece of Limit The limit of f(x) s x pproches is L if oly if: Defiitio of Cotiuity A fuctio f is cotiuous t c if for every ε > 0 there exists δ > 0 such tht x c < δ f(x) f(c) < ε. Tip: Rerrge f(x) f(c) to hve (x c) s fctor. Sice x c < δ we c fi equtio tht reltes oth δ ε together. Two Specil Trig Limits lim f(x) = L x lim x + f(x) = L Prove tht f(x) = x 2 is cotiuous fuctio. f(x) f(c) = (x 2 ) (c 2 ) = x 2 c 2 + = x 2 c 2 = (x + c)(x c) = (x + c) (x c) Sice (x + c) 2c f(x) f(c) 2c (x c) < ε So give ε > 0, we c choose δ = ε > 0 i the 2c Defiitio of Cotiuity. So sustitutig the chose δ for (x c) we get: f(x) f(c) 2c ( ε) = ε 2c Sice oth coitios re met, f(x) is cotiuous. si x lim = x 0 x cos x lim = 0 x 0 x Copyright y Hrol Toomey, WyzAt Tutor

2 Derivtives Defiitio of Derivtive of Fuctio Slope Fuctio Nottio for Derivtives 0. The Chi Rule. The Costt Multiple Rule 2. The Sum Differece Rule 3. The Prouct Rule 4. The Quotiet Rule 5. The Costt Rule 6. The Power Rule 6. The Geerl Power Rule 7. The Power Rule for x 8. Asolute Vlue 9. Nturl Logorithm 0. Nturl Expoetil. Logorithm 2. Expoetil 3. Sie 4. Cosie 5. Tget 6. Cotget 7. Sect (See Lrso s -pger of commo erivtives) f f(x + h) f(x) (x) = lim h 0 h f f(x) f(c) (c) = lim x c x c f (x), f () (x), y x, y, x [f(x)], D x[y] x [f(g(x))] = f (g(x))g (x) y x = y u u x x [cf(x)] = cf (x) x [f(x) ± g(x)] = f (x) ± g (x) x [fg] = fg + g f x [f g ] = gf fg g 2 x [c] = 0 x [x ] = x x [u ] = u u where u = u(x) x [x] = (thik x = x x 0 = ) x [ x ] = x x x [l x] = x x [e x ] = e x x [log x] = (l ) x x [x ] = (l ) x [si(x)] = cos(x) x [cos(x)] = si(x) x x [t(x)] = sec2 (x) x [cot(x)] = csc2 (x) [sec(x)] = sec(x) t(x) x Copyright y Hrol Toomey, WyzAt Tutor 2

3 Derivtives 8. Cosect 9. Arcsie 20. Arccosie 2. Arctget 22. Arccotget 23. Arcsect 24. Arccosect 25. Hyperolic Sie 26. Hyperolic Cosie 27. Hyperolic Tget 28. Hyperolic Cotget 29. Hyperolic Sect 30. Hyperolic Cosect 3. Hyperolic Arcsie 32. Hyperolic Arccosie 33. Hyperolic Arctget 34. Hyperolic Arccotget 35. Hyperolic Arcsect 36. Hyperolic Arccosect (See Lrso s -pger of commo erivtives) [csc(x)] = csc(x) cot(x) x x [si (x)] = x 2 x [cos (x)] = x 2 x [t (x)] = + x 2 x [cot (x)] = + x 2 x [sec (x)] = x x 2 x [csc (x)] = x x 2 [sih(x)] = cosh(x) x [cosh(x)] = sih(x) x x [th(x)] = sech2 (x) x [coth(x)] = csch2 (x) [sech(x)] = sech(x) th(x) x [csch(x)] = csch(x) coth(x) x x [sih (x)] = x 2 + x [cosh (x)] = x 2 x [th (x)] = x 2 x [coth (x)] = x 2 x [sech (x)] = x x 2 x [csch (x)] = x + x 2 Positio Fuctio s(t) = 2 gt2 + v 0 t + s 0 Velocity Fuctio v(t) = s (t) = gt + v 0 Accelertio Fuctio (t) = v (t) = s (t) Jerk Fuctio j(t) = (t) = v (t) = s (3) (t) Copyright y Hrol Toomey, WyzAt Tutor 3

4 Applictios of Differetitio Rolle s Theorem f is cotiuous o the close itervl [,], f is ifferetile o the ope itervl (,). Me Vlue Theorem If f meets the coitios of Rolle s Theorem, the L Hôpitl s Rule Grphig with Derivtives Test for Icresig Decresig Fuctios The First Derivtive Test The Seco Derivitive Test Let f (c)=0, f (x) exists, the Test for Cocvity Poits of Iflectio Chge i cocvity Alyzig the Grph of Fuctio If f() = f(), the there exists t lest oe umer c i (,) such tht f (c) = 0. f f() f() (c) = f() = f() + ( )f (c) Fi c. P(x) If lim f(x) = lim x c x c Q(x) = { 0 0,, 0,, 0 0, 0, }, ut ot {0 }, P(x) the lim x c Q(x) = lim x c P (x) Q (x) = lim P (x) x c Q (x) =. If f (x) > 0, the f is icresig (slope up) 2. If f (x) < 0, the f is ecresig (slope ow) 3. If f (x) = 0, the f is costt (zero slope). If f (x) chges from to + t c, the f hs reltive miimum t (c, f(c)) 2. If f (x) chges from + to - t c, the f hs reltive mximum t (c, f(c)) 3. If f (x), is + c + or - c -, the f(c) is either. If f (x) > 0, the f hs reltive miimum t (c, f(c)) 2. If f (x) < 0, the f hs reltive mximum t (c, f(c)) 3. If f (x) = 0, the the test fils (See st erivtive test). If f (x) > 0 for ll x, the the grph is cocve up 2. If f (x) < 0 for ll x, the the grph is cocve ow If (c, f(c)) is poit of iflectio of f, the either. f (c) = 0 or 2. f oes ot exist t x = c. (See Hrol s Illegls Grphig Rtiols Chet Sheet) x-itercepts (Zeros or Roots) f(x) = 0 y-itercept f(0) = y Domi Vli x vlues Rge Vli y vlues Cotiuity No ivisio y 0, o egtive squre roots or logs Verticl Asymptotes (VA) x = ivisio y 0 or uefie Horizotl Asymptotes (HA) lim f(x) y lim f(x) y x x + Ifiite Limits t Ifiity lim f(x) lim x x + Differetiility Limit from oth irectios rrives t the sme slope Reltive Extrem Crete tle with omis, f(x), f (x), f (x) Cocvity If f (x) +, the cup up If f (x), the cup ow Poits of Iflectio f (x) = 0 (cocvity chges) Copyright y Hrol Toomey, WyzAt Tutor 4

5 Approximtig with Differetils Newto s Metho Fis zeros of f, or fis c if f(c) = 0. Tget Lie Approximtios Fuctio Approximtios with Differetils Relte Rtes x + = x f(x ) f (x ) y = mx + y = f (c)(x c) + f(c) f(x + x) f(x) + y = f(x) + f (x) x Steps to solve:. Ietify the kow vriles rtes of chge. (x = 5 m; y = 20 m; x = 2 m s ; y =? ) 2. Costruct equtio reltig these qutities. (x 2 + y 2 = r 2 ) 3. Differetite oth sies of the equtio. (2xx + 2yy = 0) 4. Solve for the esire rte of chge. (y = x y x ) 5. Sustitute the kow rtes of chge qutities ito the equtio. (y = = 3 m 2 s ) Copyright y Hrol Toomey, WyzAt Tutor 5

6 Summtio Formuls Sum of Powers Misc. Summtio Formuls c = c i = i 2 = ( + ) 2 i 3 = ( i) i 4 i 5 i 6 i 7 = ( + )(2 + ) 6 2 = 2 ( + ) 2 4 = = = ( + )(2 + )( ) 30 = 2 ( + ) 2 ( ) 2 = = = ( + )(2 + )( ) 42 = 2 ( + ) 2 ( ) 24 S k () = i k ( + )k+ = k + k + (k + r ) S r() i(i + ) = i 2 + i = i(i + ) = + = i(i + )(i + 2) ( + 3) 4( + )( + 2) k r=0 ( + )( + 2) 3 Copyright y Hrol Toomey, WyzAt Tutor 6

7 Riem Sum Mipoit Rule Trpezoil Rule Simpso s Rule TI-84 Plus TI-Nspire CAS Numericl Methos P 0 (x) = f(x) x = lim f(x i ) x i P 0 where = x 0 < x < x 2 < < x = x i = x i x i P = mx{ x i } Types: Left Sum (LHS) Mile Sum (MHS) Right Sum (RHS) P 0 (x) = f(x) x f(x i) x = x[f(x ) + f(x 2) + f(x 3) + + f(x )] where x = x i = (x 2 i + x i ) = mipoit of [x i, x i ] Error Bous: E M K( ) P (x) = f(x) x x 2 [f(x 0) + 2f(x ) + 2f(x 3 ) + + 2f(x ) + f(x )] where x = x i = + i x Error Bous: E T K( )3 2 2 P 2 (x) = f(x)x x 3 [f(x 0) + 4f(x ) + 2f(x 2 ) + 4f(x 3 ) + + 2f(x 2 ) + 4f(x ) + f(x )] Where is eve x = x i = + i x Error Bous: E S K( ) [MATH] fit(f(x),x,,), [MATH] [] [ENTER] Exmple: [MATH] fit(x^2,x,0,) x 2 x = 0 3 [MENU] [4] Clculus [3] Itegrl [TAB] [TAB] [X] [^] [2] [TAB] [TAB] [X] [ENTER] Copyright y Hrol Toomey, WyzAt Tutor 7

8 Itegrtio Bsic Itegrtio Rules Itegrtio is the iverse of ifferetitio, vice vers. f(x) = 0 f(x) = k = kx 0 The Costt Multiple Rule The Sum Differece Rule The Power Rule f(x) = kx The Geerl Power Rule Reim Sum Defiitio of Defiite Itegrl Are uer curve Swp Bous Aitive Itervl Property The Fumetl Theorem of Clculus The Seco Fumetl Theorem of Clculus Me Vlue Theorem for Itegrls The Averge Vlue for Fuctio (See Hrol s Fumetl Theorem of Clculus Chet Sheet) x f (x) x = f(x) + C f(x) x = f(x) x 0 x = C k x = kx + C k f(x) x = k f(x) x [f(x) ± g(x)] x = f(x) x ± g(x) x x x = x+ + C, where + If =, the x x = l x + C If u = g(x), u = g(x) the x u u x = u+ + C, where + f(c i ) x i, where x i c i x i = x = lim f(c i) x i = f(x) x 0 f(x) x = f(x) x f(x) x = f(x) x h(x) c + f(x) x c f(x) x = F() F() x x g(x) x f(t) t = f(x) f(t) t = f(g(x))g (x) f(t) t = f(h(x))h (x) f(g(x))g (x) g(x) f(x) x = f(c)( ) Fi c. f(x) x Copyright y Hrol Toomey, WyzAt Tutor 8

9 Itegrtio Methos. Memorize See Lrso s -pger of commo itegrls 2. U-Sustitutio f(g(x))g (x)x = F(g(x)) + C Set u = g(x), the u = g (x) x f(u) u = F(u) + C u = u = x u v = uv v u u = u = v = v = 3. Itegrtio y Prts 4. Prtil Frctios 5. Trig Sustitutio for 2 x 2 Pick u usig the LIATED Rule: L Logrithmic : l x, log x, etc. I Iverse Trig.: t x, sec x, etc. A Algeric: x 2, 3x 60, etc. T Trigoometric: si x, t x, etc. E Expoetil: e x, 9 x, etc. D Derivtive of: y x P(x) Q(x) x where P(x) Q(x) re polyomils Cse : If egree of P(x) Q(x) the o log ivisio first Cse 2: If egree of P(x) < Q(x) the o prtil frctio expsio 2 x 2 x Sustututio: x = si θ Ietity: si 2 θ = cos 2 θ 5. Trig Sustitutio for x 2 2 x 2 2 x Sustututio: x = sec θ Ietity: sec 2 θ = t 2 θ x x 5c. Trig Sustitutio for x Sustututio: x = t θ Ietity: t 2 θ + = sec 2 θ 6. Tle of Itegrls CRC Str Mthemticl Tles ook 7. Computer Alger Systems (CAS) TI-Nspire CX CAS Grphig Clcultor TI Nspire CAS ip pp 8. Numericl Methos Riem Sum, Mipoit Rule, Trpezoil Rule, Simpso s Rule, TI WolfrmAlph Google of mthemtics. Shows steps. Free. Copyright y Hrol Toomey, WyzAt Tutor 9

10 Coitio Prtil Frctios (See Hrol s Prtil Frctios Chet Sheet) f(x) = P(x) Q(x) where P(x) Q(x) re polyomils egree of P(x) < Q(x) If egree of P(x) Q(x) the o log ivisio first P(x) (x + )(cx + ) Exmple Expsio 2 (ex 2 + fx + g) A = (x + ) + B (cx + ) + C (cx + ) 2 + Dx + E (ex 2 + fx + g) Typicl Solutio x = l x + + C x + Sequece Sequeces & Series Geometric Series (See Hrol s Series Chet Sheet) lim = L (Limit) Exmple: (, +, +2, ) S = lim ( r ) r = r oly if r < where r is the rius of covergece ( r, r) is the itervl of covergece Covergece Tests Series Covergece Tests (See Hrol s Series Covergece Tests Chet Sheet). Divergece or th Term 6. Rtio 2. Geometric Series 7. Root 3. p-series 8. Direct Compriso 4. Altertig Series 9. Limit Compriso 5. Itegrl 0. Telescopig Tylor Series Tylor Series (See Hrol s Tylor Series Chet Sheet) + = f() (c)! =0 f(x) = P (x) + R (x) (x c) + f(+) (x ) ( + )! (x c) + where x x c (worst cse scerio x ) lim x + R (x) = 0 Copyright y Hrol Toomey, WyzAt Tutor 0

Repeated multiplication is represented using exponential notation, for example:

Repeated multiplication is represented using exponential notation, for example: Appedix A: The Lws of Expoets Expoets re short-hd ottio used to represet my fctors multiplied together All of the rules for mipultig expoets my be deduced from the lws of multiplictio d divisio tht you

More information

SAMPLE QUESTIONS FOR FINAL EXAM. (1) (2) (3) (4) Find the following using the definition of the Riemann integral: (2x + 1)dx

SAMPLE QUESTIONS FOR FINAL EXAM. (1) (2) (3) (4) Find the following using the definition of the Riemann integral: (2x + 1)dx SAMPLE QUESTIONS FOR FINAL EXAM REAL ANALYSIS I FALL 006 3 4 Fid the followig usig the defiitio of the Riema itegral: a 0 x + dx 3 Cosider the partitio P x 0 3, x 3 +, x 3 +,......, x 3 3 + 3 of the iterval

More information

MATHEMATICS SYLLABUS SECONDARY 7th YEAR

MATHEMATICS SYLLABUS SECONDARY 7th YEAR Europe Schools Office of the Secretry-Geerl Pedgogicl developmet Uit Ref.: 2011-01-D-41-e-2 Orig.: DE MATHEMATICS SYLLABUS SECONDARY 7th YEAR Stdrd level 5 period/week course Approved y the Joit Techig

More information

Calculus Cheat Sheet. except we make f ( x ) arbitrarily large and. Relationship between the limit and one-sided limits

Calculus Cheat Sheet. except we make f ( x ) arbitrarily large and. Relationship between the limit and one-sided limits Clulus Chet Sheet Limits Deiitios Preise Deiitio : We sy lim L i or every ε > 0 there is δ > 0 suh tht wheever 0 δ L < ε. < < the Workig Deiitio : We sy lim L i we mke ( ) s lose to L s we wt y tkig suiietly

More information

Calculus Cheat Sheet. except we make f ( x ) arbitrarily large and. Relationship between the limit and one-sided limits

Calculus Cheat Sheet. except we make f ( x ) arbitrarily large and. Relationship between the limit and one-sided limits Clulus Chet Sheet Limits Deiitios Preise Deiitio : We sy lim ( ) L i or every e > 0 there is > 0 suh tht wheever 0 L < e. < < the Workig Deiitio : We sy lim L i we mke ( ) s lose to L s we wt y tkig suiietly

More information

Exam 1 Study Guide. Differentiation and Anti-differentiation Rules from Calculus I

Exam 1 Study Guide. Differentiation and Anti-differentiation Rules from Calculus I Exm Stuy Guie Mth 2020 - Clculus II, Winter 204 The following is list of importnt concepts from ech section tht will be teste on exm. This is not complete list of the mteril tht you shoul know for the

More information

Chapter 04.05 System of Equations

Chapter 04.05 System of Equations hpter 04.05 System of Equtios After redig th chpter, you should be ble to:. setup simulteous lier equtios i mtrix form d vice-vers,. uderstd the cocept of the iverse of mtrix, 3. kow the differece betwee

More information

MATHEMATICS FOR ENGINEERING BASIC ALGEBRA

MATHEMATICS FOR ENGINEERING BASIC ALGEBRA MATHEMATICS FOR ENGINEERING BASIC ALGEBRA TUTORIAL - INDICES, LOGARITHMS AND FUNCTION This is the oe of series of bsic tutorils i mthemtics imed t begiers or yoe wtig to refresh themselves o fudmetls.

More information

Reasoning to Solve Equations and Inequalities

Reasoning to Solve Equations and Inequalities Lesson4 Resoning to Solve Equtions nd Inequlities In erlier work in this unit, you modeled situtions with severl vriles nd equtions. For exmple, suppose you were given usiness plns for concert showing

More information

Our aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series

Our aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series 8 Fourier Series Our aim is to show that uder reasoable assumptios a give -periodic fuctio f ca be represeted as coverget series f(x) = a + (a cos x + b si x). (8.) By defiitio, the covergece of the series

More information

Math 113 HW #11 Solutions

Math 113 HW #11 Solutions Math 3 HW # Solutios 5. 4. (a) Estimate the area uder the graph of f(x) = x from x = to x = 4 usig four approximatig rectagles ad right edpoits. Sketch the graph ad the rectagles. Is your estimate a uderestimate

More information

Application: Volume. 6.1 Overture. Cylinders

Application: Volume. 6.1 Overture. Cylinders Applictio: Volume 61 Overture I this chpter we preset other pplictio of the defiite itegrl, this time to fid volumes of certi solids As importt s this prticulr pplictio is, more importt is to recogize

More information

SOME IMPORTANT MATHEMATICAL FORMULAE

SOME IMPORTANT MATHEMATICAL FORMULAE SOME IMPORTANT MATHEMATICAL FORMULAE Circle : Are = π r ; Circuferece = π r Squre : Are = ; Perieter = 4 Rectgle: Are = y ; Perieter = (+y) Trigle : Are = (bse)(height) ; Perieter = +b+c Are of equilterl

More information

Summation Notation The sum of the first n terms of a sequence is represented by the summation notation i the index of summation

Summation Notation The sum of the first n terms of a sequence is represented by the summation notation i the index of summation Lesso 0.: Sequeces d Summtio Nottio Def. of Sequece A ifiite sequece is fuctio whose domi is the set of positive rel itegers (turl umers). The fuctio vlues or terms of the sequece re represeted y, 2, 3,...,....

More information

A. Description: A simple queueing system is shown in Fig. 16-1. Customers arrive randomly at an average rate of

A. Description: A simple queueing system is shown in Fig. 16-1. Customers arrive randomly at an average rate of Queueig Theory INTRODUCTION Queueig theory dels with the study of queues (witig lies). Queues boud i rcticl situtios. The erliest use of queueig theory ws i the desig of telehoe system. Alictios of queueig

More information

4.3. The Integral and Comparison Tests

4.3. The Integral and Comparison Tests 4.3. THE INTEGRAL AND COMPARISON TESTS 9 4.3. The Itegral ad Compariso Tests 4.3.. The Itegral Test. Suppose f is a cotiuous, positive, decreasig fuctio o [, ), ad let a = f(). The the covergece or divergece

More information

PROBLEMS 05 - ELLIPSE Page 1

PROBLEMS 05 - ELLIPSE Page 1 PROBLEMS 0 ELLIPSE Pge 1 ( 1 ) The edpoits A d B of AB re o the X d Yis respectivel If AB > 0 > 0 d P divides AB from A i the rtio : the show tht P lies o the ellipse 1 ( ) If the feet of the perpediculrs

More information

Example A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding

Example A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding 1 Exmple A rectngulr box without lid is to be mde from squre crdbord of sides 18 cm by cutting equl squres from ech corner nd then folding up the sides. 1 Exmple A rectngulr box without lid is to be mde

More information

Section 11.3: The Integral Test

Section 11.3: The Integral Test Sectio.3: The Itegral Test Most of the series we have looked at have either diverged or have coverged ad we have bee able to fid what they coverge to. I geeral however, the problem is much more difficult

More information

Function Name Algebra. Parent Function. Characteristics. Harold s Parent Functions Cheat Sheet 28 December 2015

Function Name Algebra. Parent Function. Characteristics. Harold s Parent Functions Cheat Sheet 28 December 2015 Harold s s Cheat Sheet 8 December 05 Algebra Constant Linear Identity f(x) c f(x) x Range: [c, c] Undefined (asymptote) Restrictions: c is a real number Ay + B 0 g(x) x Restrictions: m 0 General Fms: Ax

More information

1. Find the zeros Find roots. Set function = 0, factor or use quadratic equation if quadratic, graph to find zeros on calculator

1. Find the zeros Find roots. Set function = 0, factor or use quadratic equation if quadratic, graph to find zeros on calculator AP Clculus Finl Review Sheet When you see the words. This is wht you think of doing. Find the zeros Find roots. Set function =, fctor or use qudrtic eqution if qudrtic, grph to find zeros on clcultor.

More information

MATHEMATICS P1 COMMON TEST JUNE 2014 NATIONAL SENIOR CERTIFICATE GRADE 12

MATHEMATICS P1 COMMON TEST JUNE 2014 NATIONAL SENIOR CERTIFICATE GRADE 12 Mathematics/P1 1 Jue 014 Commo Test MATHEMATICS P1 COMMON TEST JUNE 014 NATIONAL SENIOR CERTIFICATE GRADE 1 Marks: 15 Time: ½ hours N.B: This questio paper cosists of 7 pages ad 1 iformatio sheet. Please

More information

STUDY COURSE BACHELOR OF BUSINESS ADMINISTRATION (B.A.)

STUDY COURSE BACHELOR OF BUSINESS ADMINISTRATION (B.A.) STUDY COURSE BACHELOR OF BUSINESS ADMINISTRATION (B.A. MATHEMATICS (ENGLISH & GERMAN REPETITORIUM 0/06 Prof. Dr. Philipp E. Zeh Mthemtis Prof. Dr. Philipp E. Zeh LITERATURE (GERMAN Böker, F., Formelsmmlug

More information

Sequences and Series

Sequences and Series CHAPTER 9 Sequeces ad Series 9.. Covergece: Defiitio ad Examples Sequeces The purpose of this chapter is to itroduce a particular way of geeratig algorithms for fidig the values of fuctios defied by their

More information

Harvard College. Math 21a: Multivariable Calculus Formula and Theorem Review

Harvard College. Math 21a: Multivariable Calculus Formula and Theorem Review Hrvrd College Mth 21: Multivrible Clculus Formul nd Theorem Review Tommy McWillim, 13 [email protected] December 15, 2009 1 Contents Tble of Contents 4 9 Vectors nd the Geometry of Spce 5 9.1

More information

Section 3.7. Rolle s Theorem and the Mean Value Theorem. Difference Equations to Differential Equations

Section 3.7. Rolle s Theorem and the Mean Value Theorem. Difference Equations to Differential Equations Difference Equations to Differential Equations Section.7 Rolle s Theorem and the Mean Value Theorem The two theorems which are at the heart of this section draw connections between the instantaneous rate

More information

Continuity. DEFINITION 1: A function f is continuous at a number a if. lim

Continuity. DEFINITION 1: A function f is continuous at a number a if. lim Continuity DEFINITION : A function f is continuous at a number a if f(x) = f(a) REMARK: It follows from the definition that f is continuous at a if and only if. f(a) is defined. 2. f(x) and +f(x) exist.

More information

SINCLAIR COMMUNITY COLLEGE DAYTON, OHIO DEPARTMENT SYLLABUS FOR COURSE IN MAT 1470 - COLLEGE ALGEBRA (4 SEMESTER HOURS)

SINCLAIR COMMUNITY COLLEGE DAYTON, OHIO DEPARTMENT SYLLABUS FOR COURSE IN MAT 1470 - COLLEGE ALGEBRA (4 SEMESTER HOURS) SINCLAIR COMMUNITY COLLEGE DAYTON, OHIO DEPARTMENT SYLLABUS FOR COURSE IN MAT 470 - COLLEGE ALGEBRA (4 SEMESTER HOURS). COURSE DESCRIPTION: Polynomil, rdicl, rtionl, exponentil, nd logrithmic functions

More information

Math 314, Homework Assignment 1. 1. Prove that two nonvertical lines are perpendicular if and only if the product of their slopes is 1.

Math 314, Homework Assignment 1. 1. Prove that two nonvertical lines are perpendicular if and only if the product of their slopes is 1. Mth 4, Homework Assignment. Prove tht two nonverticl lines re perpendiculr if nd only if the product of their slopes is. Proof. Let l nd l e nonverticl lines in R of slopes m nd m, respectively. Suppose

More information

Limits and Continuity

Limits and Continuity Math 20C Multivariable Calculus Lecture Limits and Continuity Slide Review of Limit. Side limits and squeeze theorem. Continuous functions of 2,3 variables. Review: Limits Slide 2 Definition Given a function

More information

The Derivative. Philippe B. Laval Kennesaw State University

The Derivative. Philippe B. Laval Kennesaw State University The Derivative Philippe B. Laval Kennesaw State University Abstract This handout is a summary of the material students should know regarding the definition and computation of the derivative 1 Definition

More information

Graphs on Logarithmic and Semilogarithmic Paper

Graphs on Logarithmic and Semilogarithmic Paper 0CH_PHClter_TMSETE_ 3//00 :3 PM Pge Grphs on Logrithmic nd Semilogrithmic Pper OBJECTIVES When ou hve completed this chpter, ou should be ble to: Mke grphs on logrithmic nd semilogrithmic pper. Grph empiricl

More information

Released Assessment Questions, 2015 QUESTIONS

Released Assessment Questions, 2015 QUESTIONS Relesed Assessmet Questios, 15 QUESTIONS Grde 9 Assessmet of Mthemtis Ademi Red the istrutios elow. Alog with this ooklet, mke sure you hve the Aswer Booklet d the Formul Sheet. You my use y spe i this

More information

Section 4.4. Using the Fundamental Theorem. Difference Equations to Differential Equations

Section 4.4. Using the Fundamental Theorem. Difference Equations to Differential Equations Difference Equations to Differential Equations Section 4.4 Using the Fundamental Theorem As we saw in Section 4.3, using the Fundamental Theorem of Integral Calculus reduces the problem of evaluating a

More information

We will begin this chapter with a quick refresher of what an exponent is.

We will begin this chapter with a quick refresher of what an exponent is. .1 Exoets We will egi this chter with quick refresher of wht exoet is. Recll: So, exoet is how we rereset reeted ultilictio. We wt to tke closer look t the exoet. We will egi with wht the roerties re for

More information

Infinite Sequences and Series

Infinite Sequences and Series CHAPTER 4 Ifiite Sequeces ad Series 4.1. Sequeces A sequece is a ifiite ordered list of umbers, for example the sequece of odd positive itegers: 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29...

More information

www.mathsbox.org.uk e.g. f(x) = x domain x 0 (cannot find the square root of negative values)

www.mathsbox.org.uk e.g. f(x) = x domain x 0 (cannot find the square root of negative values) www.mthsbo.org.uk CORE SUMMARY NOTES Functions A function is rule which genertes ectl ONE OUTPUT for EVERY INPUT. To be defined full the function hs RULE tells ou how to clculte the output from the input

More information

Theorems About Power Series

Theorems About Power Series Physics 6A Witer 20 Theorems About Power Series Cosider a power series, f(x) = a x, () where the a are real coefficiets ad x is a real variable. There exists a real o-egative umber R, called the radius

More information

SUBSTITUTION I.. f(ax + b)

SUBSTITUTION I.. f(ax + b) Integrtion SUBSTITUTION I.. f(x + b) Grhm S McDonld nd Silvi C Dll A Tutoril Module for prctising the integrtion of expressions of the form f(x + b) Tble of contents Begin Tutoril c 004 [email protected]

More information

Inverse Trig Functions

Inverse Trig Functions Inverse Trig Functions c A Math Support Center Capsule February, 009 Introuction Just as trig functions arise in many applications, so o the inverse trig functions. What may be most surprising is that

More information

4.11 Inner Product Spaces

4.11 Inner Product Spaces 314 CHAPTER 4 Vector Spces 9. A mtrix of the form 0 0 b c 0 d 0 0 e 0 f g 0 h 0 cnnot be invertible. 10. A mtrix of the form bc d e f ghi such tht e bd = 0 cnnot be invertible. 4.11 Inner Product Spces

More information

MATH 150 HOMEWORK 4 SOLUTIONS

MATH 150 HOMEWORK 4 SOLUTIONS MATH 150 HOMEWORK 4 SOLUTIONS Section 1.8 Show tht the product of two of the numbers 65 1000 8 2001 + 3 177, 79 1212 9 2399 + 2 2001, nd 24 4493 5 8192 + 7 1777 is nonnegtive. Is your proof constructive

More information

Factoring Polynomials

Factoring Polynomials Fctoring Polynomils Some definitions (not necessrily ll for secondry school mthemtics): A polynomil is the sum of one or more terms, in which ech term consists of product of constnt nd one or more vribles

More information

Convexity, Inequalities, and Norms

Convexity, Inequalities, and Norms Covexity, Iequalities, ad Norms Covex Fuctios You are probably familiar with the otio of cocavity of fuctios. Give a twicedifferetiable fuctio ϕ: R R, We say that ϕ is covex (or cocave up) if ϕ (x) 0 for

More information

Section 7-4 Translation of Axes

Section 7-4 Translation of Axes 62 7 ADDITIONAL TOPICS IN ANALYTIC GEOMETRY Section 7-4 Trnsltion of Aes Trnsltion of Aes Stndrd Equtions of Trnslted Conics Grphing Equtions of the Form A 2 C 2 D E F 0 Finding Equtions of Conics In the

More information

Integration by Substitution

Integration by Substitution Integrtion by Substitution Dr. Philippe B. Lvl Kennesw Stte University August, 8 Abstrct This hndout contins mteril on very importnt integrtion method clled integrtion by substitution. Substitution is

More information

INTEGRATING FACTOR METHOD

INTEGRATING FACTOR METHOD Differential Equations INTEGRATING FACTOR METHOD Graham S McDonald A Tutorial Module for learning to solve 1st order linear differential equations Table of contents Begin Tutorial c 2004 [email protected]

More information

The Mean Value Theorem

The Mean Value Theorem The Mean Value Theorem THEOREM (The Extreme Value Theorem): If f is continuous on a closed interval [a, b], then f attains an absolute maximum value f(c) and an absolute minimum value f(d) at some numbers

More information

m n Use technology to discover the rules for forms such as a a, various integer values of m and n and a fixed integer value a.

m n Use technology to discover the rules for forms such as a a, various integer values of m and n and a fixed integer value a. TIth.co Alger Expoet Rules ID: 988 Tie required 25 iutes Activity Overview This ctivity llows studets to work idepedetly to discover rules for workig with expoets, such s Multiplictio d Divisio of Like

More information

Lecture 4: Cauchy sequences, Bolzano-Weierstrass, and the Squeeze theorem

Lecture 4: Cauchy sequences, Bolzano-Weierstrass, and the Squeeze theorem Lecture 4: Cauchy sequeces, Bolzao-Weierstrass, ad the Squeeze theorem The purpose of this lecture is more modest tha the previous oes. It is to state certai coditios uder which we are guarateed that limits

More information

Properties of MLE: consistency, asymptotic normality. Fisher information.

Properties of MLE: consistency, asymptotic normality. Fisher information. Lecture 3 Properties of MLE: cosistecy, asymptotic ormality. Fisher iformatio. I this sectio we will try to uderstad why MLEs are good. Let us recall two facts from probability that we be used ofte throughout

More information

Review Problems for the Final of Math 121, Fall 2014

Review Problems for the Final of Math 121, Fall 2014 Review Problems for the Finl of Mth, Fll The following is collection of vrious types of smple problems covering sections.,.5, nd.7 6.6 of the text which constitute only prt of the common Mth Finl. Since

More information

Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( )

Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( ) Polynomil Functions Polynomil functions in one vrible cn be written in expnded form s n n 1 n 2 2 f x = x + x + x + + x + x+ n n 1 n 2 2 1 0 Exmples of polynomils in expnded form re nd 3 8 7 4 = 5 4 +

More information

SINCLAIR COMMUNITY COLLEGE DAYTON, OHIO DEPARTMENT SYLLABUS FOR COURSE IN MAT 1355 - INTERMEDIATE ALGEBRA I (3 CREDIT HOURS)

SINCLAIR COMMUNITY COLLEGE DAYTON, OHIO DEPARTMENT SYLLABUS FOR COURSE IN MAT 1355 - INTERMEDIATE ALGEBRA I (3 CREDIT HOURS) SINCLAIR COMMUNITY COLLEGE DAYTON OHIO DEPARTMENT SYLLABUS FOR COURSE IN MAT 1355 - INTERMEDIATE ALGEBRA I (3 CREDIT HOURS) 1. COURSE DESCRIPTION: Ftorig; opertios with polyoils d rtiol expressios; solvig

More information

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is 0_0605.qxd /5/05 0:45 AM Page 470 470 Chapter 6 Additioal Topics i Trigoometry 6.5 Trigoometric Form of a Complex Number What you should lear Plot complex umbers i the complex plae ad fid absolute values

More information

MATHEMATICAL ANALYSIS

MATHEMATICAL ANALYSIS Mri Predoi Trdfir Băl MATHEMATICAL ANALYSIS VOL II INTEGRAL CALCULUS Criov, 5 CONTENTS VOL II INTEGRAL CALCULUS Chpter V EXTENING THE EFINITE INTEGRAL V efiite itegrls with prmeters Problems V 5 V Improper

More information

WORKBOOK. MATH 30. PRE-CALCULUS MATHEMATICS.

WORKBOOK. MATH 30. PRE-CALCULUS MATHEMATICS. WORKBOOK. MATH 30. PRE-CALCULUS MATHEMATICS. DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE Contributor: U.N.Iyer Department of Mathematics and Computer Science, CP 315, Bronx Community College, University

More information

Warm-up for Differential Calculus

Warm-up for Differential Calculus Summer Assignment Wrm-up for Differentil Clculus Who should complete this pcket? Students who hve completed Functions or Honors Functions nd will be tking Differentil Clculus in the fll of 015. Due Dte:

More information

Chapter 6: Variance, the law of large numbers and the Monte-Carlo method

Chapter 6: Variance, the law of large numbers and the Monte-Carlo method Chapter 6: Variace, the law of large umbers ad the Mote-Carlo method Expected value, variace, ad Chebyshev iequality. If X is a radom variable recall that the expected value of X, E[X] is the average value

More information

Exponential and Logarithmic Functions

Exponential and Logarithmic Functions Nme Chpter Eponentil nd Logrithmic Functions Section. Eponentil Functions nd Their Grphs Objective: In this lesson ou lerned how to recognize, evlute, nd grph eponentil functions. Importnt Vocbulr Define

More information

correct-choice plot f(x) and draw an approximate tangent line at x = a and use geometry to estimate its slope comment The choices were:

correct-choice plot f(x) and draw an approximate tangent line at x = a and use geometry to estimate its slope comment The choices were: Topic 1 2.1 mode MultipleSelection text How can we approximate the slope of the tangent line to f(x) at a point x = a? This is a Multiple selection question, so you need to check all of the answers that

More information

2-3 The Remainder and Factor Theorems

2-3 The Remainder and Factor Theorems - The Remaider ad Factor Theorems Factor each polyomial completely usig the give factor ad log divisio 1 x + x x 60; x + So, x + x x 60 = (x + )(x x 15) Factorig the quadratic expressio yields x + x x

More information

The Velocity Factor of an Insulated Two-Wire Transmission Line

The Velocity Factor of an Insulated Two-Wire Transmission Line The Velocity Fctor of n Insulted Two-Wire Trnsmission Line Problem Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 Mrch 7, 008 Estimte the velocity fctor F = v/c nd the

More information

Unit 6: Exponents and Radicals

Unit 6: Exponents and Radicals Eponents nd Rdicls -: The Rel Numer Sstem Unit : Eponents nd Rdicls Pure Mth 0 Notes Nturl Numers (N): - counting numers. {,,,,, } Whole Numers (W): - counting numers with 0. {0,,,,,, } Integers (I): -

More information

Factoring x n 1: cyclotomic and Aurifeuillian polynomials Paul Garrett <[email protected]>

Factoring x n 1: cyclotomic and Aurifeuillian polynomials Paul Garrett <garrett@math.umn.edu> (March 16, 004) Factorig x 1: cyclotomic ad Aurifeuillia polyomials Paul Garrett Polyomials of the form x 1, x 3 1, x 4 1 have at least oe systematic factorizatio x 1 = (x 1)(x 1

More information

Review guide for the final exam in Math 233

Review guide for the final exam in Math 233 Review guide for the finl exm in Mth 33 1 Bsic mteril. This review includes the reminder of the mteril for mth 33. The finl exm will be cumultive exm with mny of the problems coming from the mteril covered

More information

PRACTICE FINAL. Problem 1. Find the dimensions of the isosceles triangle with largest area that can be inscribed in a circle of radius 10cm.

PRACTICE FINAL. Problem 1. Find the dimensions of the isosceles triangle with largest area that can be inscribed in a circle of radius 10cm. PRACTICE FINAL Problem 1. Find the dimensions of the isosceles triangle with largest area that can be inscribed in a circle of radius 1cm. Solution. Let x be the distance between the center of the circle

More information

Calculus. Contents. Paul Sutcliffe. Office: CM212a.

Calculus. Contents. Paul Sutcliffe. Office: CM212a. Calculus Paul Sutcliffe Office: CM212a. www.maths.dur.ac.uk/~dma0pms/calc/calc.html Books One and several variables calculus, Salas, Hille & Etgen. Calculus, Spivak. Mathematical methods in the physical

More information

MATH 381 HOMEWORK 2 SOLUTIONS

MATH 381 HOMEWORK 2 SOLUTIONS MATH 38 HOMEWORK SOLUTIONS Question (p.86 #8). If g(x)[e y e y ] is harmonic, g() =,g () =, find g(x). Let f(x, y) = g(x)[e y e y ].Then Since f(x, y) is harmonic, f + f = and we require x y f x = g (x)[e

More information

Repeating Decimals are decimal numbers that have number(s) after the decimal point that repeat in a pattern.

Repeating Decimals are decimal numbers that have number(s) after the decimal point that repeat in a pattern. 5.5 Fractios ad Decimals Steps for Chagig a Fractio to a Decimal. Simplify the fractio, if possible. 2. Divide the umerator by the deomiator. d d Repeatig Decimals Repeatig Decimals are decimal umbers

More information

3. If x and y are real numbers, what is the simplified radical form

3. If x and y are real numbers, what is the simplified radical form lgebra II Practice Test Objective:.a. Which is equivalet to 98 94 4 49?. Which epressio is aother way to write 5 4? 5 5 4 4 4 5 4 5. If ad y are real umbers, what is the simplified radical form of 5 y

More information

15.6. The mean value and the root-mean-square value of a function. Introduction. Prerequisites. Learning Outcomes. Learning Style

15.6. The mean value and the root-mean-square value of a function. Introduction. Prerequisites. Learning Outcomes. Learning Style The men vlue nd the root-men-squre vlue of function 5.6 Introduction Currents nd voltges often vry with time nd engineers my wish to know the verge vlue of such current or voltge over some prticulr time

More information

1 if 1 x 0 1 if 0 x 1

1 if 1 x 0 1 if 0 x 1 Chapter 3 Continuity In this chapter we begin by defining the fundamental notion of continuity for real valued functions of a single real variable. When trying to decide whether a given function is or

More information

NATIONAL SENIOR CERTIFICATE GRADE 12

NATIONAL SENIOR CERTIFICATE GRADE 12 NATIONAL SENIOR CERTIFICATE GRADE MATHEMATICS P EXEMPLAR 04 MARKS: 50 TIME: 3 hours This questio paper cosists of 8 pages ad iformatio sheet. Please tur over Mathematics/P DBE/04 NSC Grade Eemplar INSTRUCTIONS

More information

Pure C4. Revision Notes

Pure C4. Revision Notes Pure C4 Revision Notes Mrch 0 Contents Core 4 Alger Prtil frctions Coordinte Geometry 5 Prmetric equtions 5 Conversion from prmetric to Crtesin form 6 Are under curve given prmetriclly 7 Sequences nd

More information

GRE Prep: Precalculus

GRE Prep: Precalculus GRE Prep: Precalculus Franklin H.J. Kenter 1 Introduction These are the notes for the Precalculus section for the GRE Prep session held at UCSD in August 2011. These notes are in no way intended to teach

More information

AP STATISTICS SUMMER MATH PACKET

AP STATISTICS SUMMER MATH PACKET AP STATISTICS SUMMER MATH PACKET This pcket is review of Algebr I, Algebr II, nd bsic probbility/counting. The problems re designed to help you review topics tht re importnt to your success in the clss.

More information

Sequences and Series

Sequences and Series Secto 9. Sequeces d Seres You c thk of sequece s fucto whose dom s the set of postve tegers. f ( ), f (), f (),... f ( ),... Defto of Sequece A fte sequece s fucto whose dom s the set of postve tegers.

More information

EQUATIONS OF LINES AND PLANES

EQUATIONS OF LINES AND PLANES EQUATIONS OF LINES AND PLANES MATH 195, SECTION 59 (VIPUL NAIK) Corresponding mteril in the ook: Section 12.5. Wht students should definitely get: Prmetric eqution of line given in point-direction nd twopoint

More information

f(x) = a x, h(5) = ( 1) 5 1 = 2 2 1

f(x) = a x, h(5) = ( 1) 5 1 = 2 2 1 Exponential Functions an their Derivatives Exponential functions are functions of the form f(x) = a x, where a is a positive constant referre to as the base. The functions f(x) = x, g(x) = e x, an h(x)

More information

MATHEMATICS (860) CLASS XI

MATHEMATICS (860) CLASS XI MATHEMATICS (860) Aims:. To ele didtes to quire kowledge d to develop uderstdig of the terms, oepts, symols, defiitios, priiples, proesses d formule of Mthemtis t the Seior Seodry stge.. To develop the

More information

Chapter 5: Inner Product Spaces

Chapter 5: Inner Product Spaces Chapter 5: Ier Product Spaces Chapter 5: Ier Product Spaces SECION A Itroductio to Ier Product Spaces By the ed of this sectio you will be able to uderstad what is meat by a ier product space give examples

More information

Lecture 4: Cheeger s Inequality

Lecture 4: Cheeger s Inequality Spectral Graph Theory ad Applicatios WS 0/0 Lecture 4: Cheeger s Iequality Lecturer: Thomas Sauerwald & He Su Statemet of Cheeger s Iequality I this lecture we assume for simplicity that G is a d-regular

More information

2005-06 Second Term MAT2060B 1. Supplementary Notes 3 Interchange of Differentiation and Integration

2005-06 Second Term MAT2060B 1. Supplementary Notes 3 Interchange of Differentiation and Integration Source: http://www.mth.cuhk.edu.hk/~mt26/mt26b/notes/notes3.pdf 25-6 Second Term MAT26B 1 Supplementry Notes 3 Interchnge of Differentition nd Integrtion The theme of this course is bout vrious limiting

More information

MATH 425, PRACTICE FINAL EXAM SOLUTIONS.

MATH 425, PRACTICE FINAL EXAM SOLUTIONS. MATH 45, PRACTICE FINAL EXAM SOLUTIONS. Exercise. a Is the operator L defined on smooth functions of x, y by L u := u xx + cosu linear? b Does the answer change if we replace the operator L by the operator

More information

Math Placement Test Practice Problems

Math Placement Test Practice Problems Math Placement Test Practice Problems The following problems cover material that is used on the math placement test to place students into Math 1111 College Algebra, Math 1113 Precalculus, and Math 2211

More information

Homework # 3 Solutions

Homework # 3 Solutions Homework # 3 Solutions February, 200 Solution (2.3.5). Noting that and ( + 3 x) x 8 = + 3 x) by Equation (2.3.) x 8 x 8 = + 3 8 by Equations (2.3.7) and (2.3.0) =3 x 8 6x2 + x 3 ) = 2 + 6x 2 + x 3 x 8

More information

Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100

Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100 hsn.uk.net Higher Mthemtics UNIT 3 OUTCOME 1 Vectors Contents Vectors 18 1 Vectors nd Sclrs 18 Components 18 3 Mgnitude 130 4 Equl Vectors 131 5 Addition nd Subtrction of Vectors 13 6 Multipliction by

More information

Series FOURIER SERIES. Graham S McDonald. A self-contained Tutorial Module for learning the technique of Fourier series analysis

Series FOURIER SERIES. Graham S McDonald. A self-contained Tutorial Module for learning the technique of Fourier series analysis Series FOURIER SERIES Graham S McDonald A self-contained Tutorial Module for learning the technique of Fourier series analysis Table of contents Begin Tutorial c 004 [email protected] 1. Theory.

More information

S. Tanny MAT 344 Spring 1999. be the minimum number of moves required.

S. Tanny MAT 344 Spring 1999. be the minimum number of moves required. S. Tay MAT 344 Sprig 999 Recurrece Relatios Tower of Haoi Let T be the miimum umber of moves required. T 0 = 0, T = 7 Iitial Coditios * T = T + $ T is a sequece (f. o itegers). Solve for T? * is a recurrece,

More information

100. In general, we can define this as if b x = a then x = log b

100. In general, we can define this as if b x = a then x = log b Exponents and Logarithms Review 1. Solving exponential equations: Solve : a)8 x = 4! x! 3 b)3 x+1 + 9 x = 18 c)3x 3 = 1 3. Recall: Terminology of Logarithms If 10 x = 100 then of course, x =. However,

More information

4.3 Lagrange Approximation

4.3 Lagrange Approximation 206 CHAP. 4 INTERPOLATION AND POLYNOMIAL APPROXIMATION Lagrange Polynomial Approximation 4.3 Lagrange Approximation Interpolation means to estimate a missing function value by taking a weighted average

More information

Lecture 5: Span, linear independence, bases, and dimension

Lecture 5: Span, linear independence, bases, and dimension Lecture 5: Spa, liear idepedece, bases, ad dimesio Travis Schedler Thurs, Sep 23, 2010 (versio: 9/21 9:55 PM) 1 Motivatio Motivatio To uderstad what it meas that R has dimesio oe, R 2 dimesio 2, etc.;

More information

The Fundamental Theorem of Calculus

The Fundamental Theorem of Calculus Section 5.4 Te Funmentl Teorem of Clculus Kiryl Tsiscnk Te Funmentl Teorem of Clculus EXAMPLE: If f is function wose grp is sown below n g() = f(t)t, fin te vlues of g(), g(), g(), g(3), g(4), n g(5).

More information

AP Calculus BC 2003 Scoring Guidelines Form B

AP Calculus BC 2003 Scoring Guidelines Form B AP Calculus BC Scorig Guidelies Form B The materials icluded i these files are iteded for use by AP teachers for course ad exam preparatio; permissio for ay other use must be sought from the Advaced Placemet

More information

0.7 0.6 0.2 0 0 96 96.5 97 97.5 98 98.5 99 99.5 100 100.5 96.5 97 97.5 98 98.5 99 99.5 100 100.5

0.7 0.6 0.2 0 0 96 96.5 97 97.5 98 98.5 99 99.5 100 100.5 96.5 97 97.5 98 98.5 99 99.5 100 100.5 Sectio 13 Kolmogorov-Smirov test. Suppose that we have a i.i.d. sample X 1,..., X with some ukow distributio P ad we would like to test the hypothesis that P is equal to a particular distributio P 0, i.e.

More information

Vectors 2. 1. Recap of vectors

Vectors 2. 1. Recap of vectors Vectors 2. Recp of vectors Vectors re directed line segments - they cn be represented in component form or by direction nd mgnitude. We cn use trigonometry nd Pythgors theorem to switch between the forms

More information

FOUNDATIONS OF MATHEMATICS AND PRE-CALCULUS GRADE 10

FOUNDATIONS OF MATHEMATICS AND PRE-CALCULUS GRADE 10 FOUNDATIONS OF MATHEMATICS AND PRE-CALCULUS GRADE 10 [C] Commuicatio Measuremet A1. Solve problems that ivolve liear measuremet, usig: SI ad imperial uits of measure estimatio strategies measuremet strategies.

More information