Figure 6.12 Circuit diagram for question 7 Chapter 6 practice questions 1. (a) 0.75 il 68 V= nf x2dy = nfn 2pydy= (mpy?| = mph? Medical researchers are interested in how long it takes the body to remove a certain drug from the bloodstream. Find the initial amount of DDT applied to this soil. Figure 5.16 Diagram for Example 5.9 Solution (a) s:r(?#S:Q(z?v) =6m The length of the arc is exactly 677cm. (d) The acceleration due to gravity of the model rocket is @ = 9.3 ms~2, This is less that the gravitational constant of g = 9.81 ms 2. The model is only as good as the strength of the correlation. Consider the matrices 2 A= B= S C:( x+1 4 1 1IN 2 3 0. 18. (b) Find the number of years it would take for the amount of money in the account to exceed $2000. If we try x = 0, then equation (1) gives us: 02:020+2=0,ie.2=0 which is clearly not true. In certain soil conditions, the half-life of the pesticide glyphosate is about 45 days. A seat starts at the lowest point P, when its height is one metre above the ground. Determine the equation of the line parallel to y = 7%){ + 4 that passes through the point (6, 1) 7. (a) (ii) v= 100 8, 60ms~! Its beauty lies in the extraordinary neatness of the underlying mathematics - it all seems to fit so perfectly together: Figure 7 Diracs equation of the electron The physicist and mathematician Palle Jorgensen wrote: [Dirac] liked to use his equation for the electron as an example stressing that he was led to it by paying attention to the beauty of the math, more than to the physics experiments. Find the value of k. Il The amount of electrical charge, C, stored in a smartphone battery is modelled by C(t) = 2.5 27, where t, in hours, is the time for which the battery has been charged. Sets A set is a collection of elements that can themselves be sets. That is out by a whopping 99 000%. dpP' dt 5. . Developing your ability to read and understand mathematical explanations will prove to be valuable to your long-term intellectual development, while also helping you to comprehend mathematical ideas and acquire vital skills to be successful in the Applications and Interpretation HL course. 1 6. In that model, we used the fact that the rate of change of a variable y (P in the example) is proportional to the value of y. Replace y with f~(x). 52,55, 58,61, 12. (d) Use your model to predict the depth 500 m from the shore and 1.5 km from the shore. 22 Solution s s e We can find the gradient, m, using m = _ _4-10 M G 3) _6__3 4 2 Then find the equation using the point-gradient form. But, how exactly does b affect the period? Find the coordinates of the midpoint of the line segment joining each pair of points. (b) Calculate the real value of the investment after 6 years. (d) From the graph, minimum occurs at Or, via first derivative test, using sign diagram: xzyf():%'*\*S:1.48331. () Stationary point(s) occur at di = 02x+135=0 = x = 67.5. dq 16. (a) Express the impedance of the circuit as a complex number in Cartesian form. phase shift = c = =T3 What does do? Shop A: 18.77 2 4 . In 1% of the cases however it gets it wrong and produces a positive result. Here, we are interested in the non-zero asymptote. (a) 81,243 (b) 3" 5 a3a, 1 k:370:1_23 65 T=483C m= .06 = 8 minutes and 4 seconds 10C (b) 124C k= 5.64 minutes 15 c=25 3hours and 19 minutes p+q=47.4p+q=53 3. (a) $5057.31 e a3 u,= 2(8) (b) 59.2% ) 12 () 178 44. (Note that this percentage is rounded, too!) (a) C, =400 + 501, where n = number of months (b) Cy =150 + 80n (c) Model A s cheaper by $110 (n) 2 = log,, 100 1 @3 @ m: 10. 10. However, we are then bound to ask why mathematics has so many useful applications in the real world. 770 Since Table 18.8 lists only the observed values, we need to calculate the expected values if the preferences expressed by the two separate groups were the same as the preferences expressed by the groups as a whole. 7 1 dy = f3x2dx:>f(;+ 4y)dy: f3x2dx ln|y| T2y =ik The solution is exact, but implicit, as it cannot be written in an explicit form y = fix). Moreover, this is a very public beauty because it can be dissected and discussed. We will consider the case in which equal payments are made annually, and interest is compounded annually at an equal rate at the end of the year. Consider an AC waveform, commonly known as a sinusoidal curve (Figure 6.9). = u, jandu, =5 25. it deals with a chain of functions, or a function of functions (i.e.a 554 fis outside function N/ = o M) =16) - gle d gIs inside function derivative of outside function The chain rule is the X N most important rule of differentiation. Eigenvalues are purely imaginary; the origin is a stable equilibrium point (but not asymptotically stable). We endeavoured to write clear and thorough explanations supported by suitable worked examples, with the overall goal of presenting sound mathematics with sufficient rigour and detail at a level appropriate for a student of HL mathematics. 100, 99, 98, 97, RO 222367 12004000 23. Notice that starting the model with too great a population of prey could end up with an extinction of predators (Figure 2) because the very high prey numbers leads to overpopulation of predators for whom there is not enough prey left to eat. (a)x: W -2 3 mI 3 () % o () % o @1 ) x=35 Chapter 1 Practice questions 1. (a) 24 +e (b) 40 @72 @0 (h) ~268 @ 2 11 ) 1n(7) )n 2 (m)3 () 7+ 1 ) 4 o0 (@) 12 () 6 @) %v[l Fcos + @ (0) x~193.AC(193) ~ 85 (d) MC(193) ~ 8.5 () AC(400) ~ 24.25, They should sell it for 26.25. Algebra A staple method used in mathematics is the substitution of letters for numbers. Lets put some numbers into the problem to illustrate this. Since the x-axis represents the distance of each fold from the edge of the paper (which is also equal to the size of each square we cut out), we are only interested in positive x values. This PDF download accompanies the IB Mathematics: Applications and Interpretation SL study guide, providing worked answers to problems presented throughout the book. If we deny that mathematics is out there to be discovered, it takes the stigma away from the particular individual who does not make the discovery. concave up where f'ois increasing and We can get a bit more information from the second derivative. They also identify common errors and pitfalls. Solution (a) R=6,X; =11,Xc=3,50Z =6 toz =6+ 8i) + j(11 3) = 6 + 8j (this compares (b) 121 = /6 + 82 = 10and 6 = arctan% ~53.1 Hence,Z = 10 51" 194 This angle measurement may not work with some calculators which expect the angle measurement in radians. At the end of 6 years, the company estimates it can sell the machine for $8000. (a) y=25 7. () y = evsin2x (f) y=(2 1InGx 13. method I frden 1 S 0.2 . 32. The population growth rate in China was 0.5% and the population was 1.379 billion (source: World Bank). IB Math application and interpretations SL. In scientific notation, it is written as 1 X 10~1m. Over the past 10 years, they have amassed impressive records. 0.0346 (b) 6mm a(t) =500 24,0 < < 250 225 minutes 935cm? (b) 2.04cm 8. The resulting initial-value problem leading to the population growth can now be written as & & (b doyly where by and d, are positive constants representing specific birth and death rates. The recursive definitionis a, = 13 ,1 = 5n> @y, =a,The explicit definition is (b) a5 = 18 5(25) = 107 62 a,=135n1=185n Find the 20th term of the arithmetic sequence with first term 5 and fifth term 11. 4l Sequences and series Example 3.10 can also be solved using the built-in financial package on a graphing calculator. Therefore, H,: There is no statistically significant difference in the girls and boys preferences H, : There is a difference that cannot be attributed to chance alone. 923 2136 18. e Solution (a) The nominal rate of return per year is (1 i %) 2 1.056784 or 5.6784% The real rate of return per year is 5.6784 2 = 3.6784% (b) After 6 years the real value, A, of the investment is A = 2500(1 + 0.036784) = $3105.06 ElpliEUK In the section on compound interest, the expression for the amount after years, A, = P(1 + r)', is an example of exponential growth. (a) @7 127875cm (b) 128cm? B EEEESES S S S _.) He then managed to solve all of Fiors problems in less than two hours. Find the quotient zl of these complex numbers and give the answer in a + biform. There are those who go as far as saying that it is present in the proportions of the perfect human figure and that we have a predisposition towards this ratio. () Interpret your model and R? Hence, the second derivative of displacement is acceleration. (@) -5 (b) 1, = 5~ 1! 37. 10 05 0 (b) Y(4) =25 @1 1 (b) IV 11. 900 But if we are dealing with a well that is 4000 km deep, then this factor would be significant. This chapter revises and consolidates previous knowledge of scientific notation, exponential expressions, logarithms and estimation skills. Example 2.9 The function fis defined for x R by fix) = 4x 8 (a) Find an expression for the inverse function, f~! Lets call the total length T. We know that T = [ + m 606 Using Pythagoras theorem and the equations T = [ + m and RS = 25 x, we can write: P=x2+7 m? In this example, fis nested inside g. The answer is that we use the chain rule. N 12, ? (c) The temperature of the sun is 9941F. This reduction in value of an asset over time is called 13. 4. One way to think about math problems is to consider them as puzzles. )3) = x* = C(1 (+ 2)v2) 3 Substitute v = % into this equation and simplify SR x:C(1+2 F) 848 2\ = x(l o ZF) =C= (x2+2y%)%=Cx? Using the TVM solver, we make the following entries and solve for the interest rate, I N=6 1% = 285 PV= 60000 PMT =0 FV = 8000 Py=1 cYy=1 PMT: END Note that the negative interest rate corresponds to depreciation. 34 5 - > 5 % ;, . (c) Discuss the long-term trend of the deer population. 5. Given h(x) = x? (b) Use these results to convert 60 and 90 to radian measure. We will show both approaches here. . In Euler form, it is V = 10e". In this section, we will examine the modelsy = a sin(b(x )) + dandy = a cos(bx )) + d Exploration To be able to use the sine and cosine functions to model to understand the difference between the graphs of sine the parameters a, b, and d affect them. Although it is the product of x two derivatives, it is important to point out that the first derivative involves the function f differentiated at g(x) and the second is function g differentiated at x. If the inflation rate is 1.7%, calculate the real rate of return per year. They were deeply particular, they were interested in of the shorter part to the longer part whole. Insuch matrices, ;= @ for all fand j. Be careful! IB Math AA vs AI. V-D=p, 2. on the same set of axes. graph A 442cm (T br); (b) vit) = 0.463b sm(% alt) = 0.0485 blcos(%bt) () Maximum velocity is 255 cm s~ acceleration is 14700 cms ! Therefore, the cubic model for this turbine is P =0.297AdV? 917 Answers 2. Example 5.8 The diagram shows a circle with centre O and radius r = 6 cm u /10\ Angle AOB subtends the minor arc AB such that the length of the arc is 10 cm. 7. = We are now ready to develop a general rule for finding the sum to infinity of a geometric series. What problems does it solve or what questions does it answer? Calculate the area of grass that is watered by this sprinkler. Their gradients are the same, but their y-intercepts are not. Mathematics uses symbols to describe these amazing structures in the basic language of sets and the mappings between them. (c) Find the value of k. (d) The number of bacteria in colony A first exceeds the number of bacteria in colony B after n hours, where n Z. The price of the car, in US Dollars (USD), can be modelled by the equation P = 8500(0.95)* Jashantis savings, in USD, can be modelled by the equation S = 400 + 2000 In both equations is the time in months since Jashanti started saving for the car. Their games played (GP), won (W), drawn (D), and lost (L) over ten seasons from 2008-2009 to 2017~ 2018 are shown in the table. Given that the safe level of DDT is 40 units, for how long will the area be unsafe? xdx = % sin(3x2) cos(3x?) 70km| caysoll 1 sandysoll o B 100km Find a function to model the cost of the general route from A to B and use it to find the minimum cost of building the pipeline. (a)Fyexaa =1 dy (b) P (c) e7dy = xdx dy=x2xy*+1 (e) (xylnx)y = (y + 1) () o () (1 +tany)y' =x* +1 ) %: (i) ysecOdy = esin0 G) dy i 1427 s % =efl+y?) (a) Find a function to model the time taken (in minutes) for Sarah to reach the burning tent. (iii) Explain the meaning of the percentage difference in context. 1. . 3 At present, it is not a triangle. For example, the function y = 8x+ 6 = 2(4x + 3) is the composite of the functionsy = 2u and u = 4x + 3. The sprinkler delivers water at a rate of 800 cm min~'. 6. )6x dx using the chain rule. We will factorise the derivative function and solve algebraically: \u_p/ flo=x2~x6=(x3)x+2) sof'c=0=>x=30rx=2 versus concave down R Concave down Figure 14.9 Concave up Ifyou have trouble Now find the second derivative: remembering what floo=2x1 concave down look like, concave up and f"B3)=5andf"(=2)= -5 remember that up is happy, like a smile @, Therefore: since f'(3) = 0 and f"(3) > 0, there is a local minimum at x = 3 since f'(2) = 0 and f"(2) < 0, there is a local maximum at x = 2 The graph of fix) is and evaluate at x = 3and x = 2 and down is sad, like a frown . It is useful to remember that an arc of length 7ris equal to one-half of the circumference of the unit circle. The signs of the terms alternate and there are 99 terms. (3) The model uses values for constants that are established empirically. Derivatives of composite functions, products and quotients We know how to differentiate functions such as fix) = x* + 2x 3and gx) = Vx, but how do we differentiate the composite function g(fix)) = vx* + 2x 3 where fand g are nested functions? Otherwise express accurate to 3 significant figures. The equation by running regression is (a) A cubic model seems to fit best with 2 = 99.3%. Solution Since the arc measures 150, we use that fraction of the circumference: Figure 5.5 Diagram for Example 5.3 L 150 =0Qq 360(2 57 X 3) 3)i= = > =7 7.85m (3 s.f) 1. Figure 9.19 Diagram for question 11 329 Modelling real-life phenomena 12. 1. Express each as a complex number in the form a + bi (a) V=16 (b) 25 + V=25 (d) 3V2+ /=18 (e) 23 V=12 (g) Vi* (h) (=3 + (c) 5+v25 ) 7 /=9)i 197 Complex numbers . All of the values for in this example are positive, so the arc length will wrap along the unit circle in an anti-clockwise direction. (b) The Graph Trace feature can be used to evaluate the function at x = 0 to find the initial height. 912 Lets take the example of the builders of the interested in symmetry and proportion. (@ 1i (b) 2 2i () V3+3i 20. 25. To the right ofa decimal point, all leading zeros are not significant, whereas all zeros 0.0043 has 2 s.f, while 0.0043000 has 5 s.f. Figure 2.20 The point (b, a) is a reflection over the line y = x of the point (a, b) The graph of f ' s a reflection of the graph of fabout theline y = x 39 Functions 15T PR1] The function fis defined for x R by fix) = = it Xt (a) Explain why fdoes not have an inverse f~! Find the total area in which the goat can graze. y 7. (d) Based on your model: (i) Which By how (ii) Which By how athlete performed better than we would expect? Determine the equation of the line parallel to y= gx + 1 that passes through the point (3, 0) Determine the equation of the line perpendicular to y= %x + 1 that passes through the point (=3, 1) Determine the equation of the line perpendicular to y= 7%)( 5 that passes through the point ( 1, 5) Determine the equation of the perpendicular bisector of the segment [RS], given the coordinates of the endpoints are R(7, 10) and S(1, 2). For each equation: (i) match it with its graph (ii) state, with justification, whether or not the equation represents a function. $37008.79 1L g(}n +7) 925 Answers 12. S=T - kt S=T . She has to account for why mathematics is so supremely good at describing the outside world to which, according to this view, it should ultimately be blind. Find its height above the ground at Q. All points on the floor are mapped by the x- and y-axes. measure is in radians! The rules of exponents for real values a, m and n are: e 2. Students have the option to choose between two different courses: IB Math Analysis and Approaches (AA) and IB Math Applications and Example 9.5 The demand for a certain style of jeans is modelled by the function D = 1000 5p where D is the number of items sold and p is price of the jeans in euros. (e) 2 The bases are the same. (c) Use your graphic display calculator to find the coordinates of the local maximum point of fin the given domain. We can sketch the graph to explore its features. We have seen how mathematics is closely integrated into artistic thinking; perhaps because both are abstract areas of knowledge indirectly linked to the world and not held to account through experiment and observation, but instead, open to thought experiment and leaps of imagination. After 6 years, Amount = 1500 X 1.045 = $1953.39 (b) After n years, an expression for the amount in the account is: Amount = 1500 X 1.045" We need to solve the inequality 1500 X 1.045" > 10 000 This can be solved using a graph or table on a GDC, or algebraically using logarithms. The Fibonacci sequence is related to the golden number . (a) $3809.01 0. Solve My Task Do math equations 1.46% Exercise 3.4 1. 821 = 2=1 = [eTdex0477 V2mr 29 13. For over 10 years, we have been writing successful textbooks for IB mathematics courses. 11. The data for this experiment are given in the table. What is it about mathematical truth that makes it immune to revision and provides the basis for certainty and makes the negation of a mathematical truth a contradiction? () y=x 8+ x+ (17 (b) y=x25-12i 4, x= 3 edges that meet in a single (b) 'The Voronoi diagram has 4 edges that meet in a single vertex as shown. (b) 3x 4y = 12; A line with slope 1.5 and y-intercept 3.is transformed into a line with slope 0.75 and y-intercept 3. Nevertheless, in the 20th century there were a number of projects that were designed to do just that: reduce the whole of mathematics to set theory. A piecewise function ) i In this section we explore functions that are made out of several sub-functions. 9. The model assumes a closed environment where there are only two species, prey and predator, and no other factors. The circle with a radius of one unit and centre at the origin (0, 0) is called the unit circle. Whereas, if the cicada had a life cycle of 12 years, the prey and predator would meet every cicada cycle. If m is an odd number, then we can write m = 2j + 1 for some whole numberj. (a) (c) 6. 0.588 10. (a) Right-tailed test, @ = 0.05 and p-value= 0.08 (b) Left-tailed test, @ = 0.05 and p-value= 0.01 (c) Two-tailed test, @ = 0.05 and p-value= 0.01 (d) Right-tailed test, t-statistic, t critical value . = 0.996. The power of symbolic representation is that it allows us to build abstract worlds - virtual realities where the what if conditions are true. Broadly speaking, the constructivist views mathematics as a human invention. Find each root. Tt overlaps the first function. (a) Use these values to find a linear function that converts Celsius to Fahrenheit. (c) At the level of significance of a = 0.01, test the claim. (0, 0), (3, 0), (3, 1) reflection iny = x. e == Z BT % A0=0 (b) Q) = 120s(1 e~ %) 25 () 120 dp = = (In2)P & 140000 = P ~ 201977.31 1977.31e!n2 =201977.31 1977.31 X2 0=t=6.67 weeks 1003 Index A absolute value 181 absolute value function 24 ACcircuits 192-7 acceleration 560-1,588-90, 715, 718-24 due to gravity 589, 719-21,900-1 position and velocity from 718-19 accuracy 151,321, 598, 599 diagrams 602-3, 604, 606, 610 Eulers method 863,864 rounding and significant figures 2-5 addition 177,205-6, 276-9 addition rule (probability) 412,418 adjacency matrices 457-9,460-1 cost adjacency matrix 488, 492-3 strongly connected graphs 478-9 and walks 464-6 Affine transformations 255-60, 262-3 algorithms Toute inspection problem 5001 shortest-path 495-9 spanning trees 4856, 489-95 travelling salesman problem 503-8 Voronoi diagrams 155-62 alternative hypothesis 756-61,762, 770 amortisation 925 amplitude 192,330 angle of depression 106 angle of elevation 106 angles 105-9,129-38, 618 between vectors 289,292-3 central angle 125-9,132,134-5 components of 130 converting degrees/radians 132-4 known/unknown parts ofa triangle 110~ 14 measuring 130-1 negative/positive 130 phase angle 192-3,194-5 position angle 184-5 right-angled triangles 105-6 see also trigonometric functions annual depreciation 75 annuities 834, 90-2,94-5 Anscombes quartet 793 antiderivatives 666-78, 681, 684, 688 nonelementary 686 of sum/difference 669-70 approximation 2-5,63-4, 321,374 area undera curve 6789, 686-8 finding volumes 705 solution to differential equations 862-5 arclength 126-9,131,134-5 arccosfarcsin/arctan see inverse trigonometric functions area 693-705 along y-axis 698 between curve and x-axis 678-83, 686-8, 6936 between curves 696-8 economics applications 698-701 optimisation problems 61011 ofasector 124-5,127-9,135 surface areas 115-16,119 transformed image 254-5 of triangles 109-10, 112-13,220 velocity-time graph 717-18 area function 680-1 Argand diagram 181-5, 187-8, 190, 193 argument (complex numbers) 184-7 arithmetic mean (average) see mean arithmetic sequences 61-8 arithmetic series 77, 80-1 associated variables 783, 784-91 1004 linear regression 802-5, 808-14 non-linear regression 815-19, 8216 quantifying association 791-802 asymptotes 25,26 exponential models 326 logistic models 340, 341,342 tangent function 147 augmented matrix 230-5 average rate of change 526,529-32, 534-5, 589 average value of a function 682 axioms 910 axis of symmetry 304-5 B bargraphs 373 base vectors 277 bearings 107-8 beauty 912-15 Bernoulli trials 638-9 bestfit linear models 802-14 bimodal data 389 binomial distributions 63841, 644, 741 bipartite graphs 455-7, 471,475 bivariate analysis 782-832 describing association 783, 784-5, 787-8 estimating line of best it 786-91 linear regression 802-14 logarithmic linearisation 816-19, 822-6 measures of correlation 791-802 non-linear regression 815-19, 8216 scatter diagrams 782-96,797 bounded growth 33844 box plots 393-5, 740-3 caleulus 526-7 see also differential calculus; integration carbon-14 326 carrying capacity 845,846 Cartesian form ofa line 280-1 causal relationship 787-8 cells (Voronoi diagrams) 153-62 central angle 12579, 132, 134-5 central limit theorem 738 central tendency, measures of 385-9,397-9 ceteris paribus 699 chainrule 5536, 558, 559-60, 565, 5667, 568 implicit differentiation 614 and integration 669, 670 change of variables 670-3, 847 characteristic equation 239,243, 245-6 characteristic polynomial 239-40,245 chi squared test of goodness of fit 765-9 of independence 769-74 circles 124-9, 134-8, 168-70 seealso unit circle circuits (electric) 1927, 851-3 integrated circuits 819-20 circuits (graph theory) 463, 465-70, 500 claims, testing 752, 753-8, 762, 7634 classes 374-5 clock arithmetic 222 codes and coding 222-5,903 coefficient of determination 805-14,816, 818-19,821-2 coefficient of inequality 700-1 coin flipping 409-11, 639 collinearity 220-1 column vectors 204 combined distributions 649-53 combined events 418-19 common difference 614 common logarithm & common ratio 68-9 commutative matrix multiplication 208-9 complement rule (probability) 412 complementary graphs 455,458, 459 complete bipartite graphs 455,475 complete graphs 455,475 complex numbers 174-200 and AC circuits 192-7 adding/subtracting 177, 180 Argand diagrams 181-5, 187-8, 190, 193 conjugates 1789, 182 Euler form 189-91,196 polar form 184-7 powers and roots 184, 187-92 products 177,178, 1856, 191 quotients 177-8,186-7, 191 rootsfzeros 176, 178-9, 180 complex plane 181-5,193 composite functions 30-5, 36 derivatives 553-6, 560 composite transformations 47-50,259-62 compound interest 704, 688 annuities 83-4,90-2, 94-5 concavity 304, 587 conditional probability 42840 cones 115,116 confidence intervals 741-7, 752-4 congruence 222 conjugates 178-9,182 connected graphs 452,461, 46671, 4767 constant motion 283-8 constant of variation 344-5, 346 constructivism 904-5 contingency table 769-70 continuous data 364, 634, 636-8 continuous distributions 636,752-3 normal distribution 644-7, 649, 744-5, 760 continuous money flow 688-90 continuous random variables 634, 636-8, 701-2 normally distributed 644-7, 649, 744-5, 760 convenience sampling 369 convergent series 85-6 coordinate geometry 100-5,220-1 in three dimensions 116-18 coordinate systems 17 correlation 735, 784, 787-8, 804 coefficients 791802, 808 cosecant 105 cosine function 105-6,139-47, 564-5 cosine graph 145-7, 332 cosine model 332-4 cosine rule 113-14 cost adjacency matrix 488, 492-3 cost function 6734, 676-8 costmodels 673-5 direct variation 345 inverse variation 346 linear models 299-304 maximum/minimum values 586 optimisation problems 605 using functions 18,23 cotangent 105 coterminal angles 130 coupled differential equations 869-83 numerical solution 879 phase portrait solution 872-8 solving second order differential equations 879-81 cross product 290-1 Index cryptography 222-5,903 cube root function 35-6 cubic equations 898-9 cubic models 309-12, 351,352 cubing function 35-6 cuboid 115 cumulative frequency distribution 3756, 379-84,401 cumulative frequency graph 378-84, 394, 401 current 192-3,194,851-3 curve fitting 234-5 cycles 463,465-6 Hamiltonian 470-1, 502, 503, 506-7 cylinders 115, 705-6 cylindrical shells 71012 D data 363-72,784-5 collection 366-70 discrete/continuous 634-8 graphical representation 372-84 grouped 373-6,397-8 linearising 816-19 pairedfunpaired 761, 762-3 pooledjunpooled 762 ranking 796,797-8 summary measures 385402 transformed 398-9, 647-9 ungrouped 373,390 data encryption 222-5, 903 dataset 3634 de Moivres theorem 187,189 decay models 745,323 depreciation 75,323-4,326 population 842 radioactive decay 25-6, 326, 844 rate of cooling 324-5, 326, 8434 decreasing functions 25, 37-8, 540-2, 579 definite integral 644, 680-93 see also integration degree (angle measure) 130-1,132-4,195 degree (homogeneous functions) 847 degree (of vertex) 452,453, 460-1,464 degree sequence 460-1 degrees of freedom 752,753,755 chi squared analysis 765, 769-70, 771-3 pooled samples 762,763 demand 590-1, 698-700 dependent variables 16-17, 299301 bivariate statistics 782-3, 787-90, 804, 805-10 depreciation 68,75,323-4,326,795-6 derivatives 539-45 composite functions 5536, 560 derivative tests 57886, 586-91 exponential function 566-7 functions of form flx) = ax' 545-53 asgradients 596 graphical analysis 546-8, 584, 607, 609, 611 higher derivatives 560-1, 588 interpreting 540-2 natural logarithm 5678 numerical derivatives 584, 598-9, 609, 610 product of two functions 556-8 quotient of two functions 558-60 second derivatives 560-1, 584-5, 586-91 sign of 540-2, 579-81, 586 of asum/difference 54850 trigonometric functions 563-5 descriptive statistics 362-406 data 363-72 exploratory data analysis 372-84 graphical representation 372-84 groupedungrouped data 373-6,397-8 measures of centre 385-9, 397402 measures of spread 390-402 populations and samples 364-5, 373 sampling 366-70 statistic defined 365 variables 363-4,373,376 determinant 217-22, 229, 23940, 241 transformation matrix 254-5 diagonal matrix 204-5 diagonalisation 243-6,250 differential calculus 526-76, 624-32 finding equations of normals 595-601 finding equations of tangents 595601 finding maxima/minima 578-95, 60113 implicit differentiation 614-21, 837-8 instantaneous rate of change 52938, 539, 589 limits 527-9 moving objects 530-4, 561, 588-90 notation 539, 554-5, 561 numerical differentiation 546 optimisation problems 601-13 related rates problems 614, 616-24 rules 54560, 564-7, 568 see also derivatives; differential equations differential equations 834-86 coupled 869-83 electric circuit problems 851-3 Eulers method 862-5, 879, 8801 falling objects 855-7, 859, 862 initial-value problem 837, 840-1,842-3, 862-3 logistic 845-7 mathematical models 8417, 851-9, 869~ 72,901-2 and matrices 872-8,881-3 mixture problems 8534, 859 numerical solutions 860-8, 879-81 order of 834-5 phase portrait method 872-8 reducible to separable 847-8 second order 835,879-81 separable 838-44, 848 solutions 835-43,860-8, 87381 digraphs 454-5, 466, 478-81 Dijkstras algorithm 495-9 dilation 253-5, 261,264 Diracs equation of the electron 914 Diracs theorem 471 direct variation model 344-5, 347-9, 352 directed graphs see digraphs direction (scatter diagrams) 784,785,796 discrete distributions 63844, 649-50 discrete random variables 634-5, 637, 647-9 discrete variables 364 disjoint events see mutually exclusive events displacement 560, 588, 715-18, 722-3 distance 284-7, 590, 608-9 from origin 17, 181-5, 284-5, 590 in three dimensions 116-18, 2867 distance travelled 715-18, 7214 distance-time graphs 5314 distribution 364, 376-7 of sample means 738-9 see also probability distributions divergent series 86 domain (ofa function) 17,19 composite functions 31,32-3 endpoints 581-2, 604, 609-11 exponential functions 24-5 finding maxima/minima 581-3, 61011 interchanging with range 38-42 inverse functions 36-42 logarithmic functions 26 trigonometric functions 141,147 domain (of amodel) 304, 3057, 310, 311-12, 334-5,803 dot product 288-90, 291 drag 8557 drone models 284-7 dual key cryptography 903 E earthquakes 9,11 economics 673-5, 676-9, 698-701 see also cost models edges (graph theory) 451-7 adjacency matrices 457-9, 464-6 Eulers formula 475-7 incidence matrices 45960 planar graphs 473-5 spanning trees 4856 walkspaths/trails 463-73 weighted graphs 48894 edges (Voronoi diagrams) 1534 eigenvalues 238-46, 250-2, 262, 874-8, 881 eigenvectors 238-46,250-2, 874-7, 881 transformation matrix 261-2 Einstein's field equation 913-14 electric circuits see circuits (electric) electrical theory 192-7 elementary function 686 elementary row operations 230-1 elementary subdivision 477 empirical rule 645 endpoints 581-2, 604, 609-11 equal matrices 205 equally likely outcomes 411 equation ofa line 22-3,101-5,280-3 normals 102-3,595-601 tangents 550, 595-601,863 two-point form 221-2 equation solver (GDC function) 9 equilibrium solution 856, 870, 874-5 estimation 2-3, 321 Euler form (complex numbers) 189-91, 196 Eulerian circuits 46770, 500 Eulerian graphs 467-9,471-3 Eulerian trails 467-9 Eulerian walks 467-8 Eulers formula 4757 Eulers method 862-5 coupled systems 879, 8801 evaluation theorem 684-5 even numbers 908-10,911-12 events 409-27 expected values 412-14 binomial distributions 639-41 combined distributions 649-52 combined normal distribution 649 compared to observed data 76574 continuous distributions 636 discrete data 634-5 normal distribution 644, 649 Poisson distribution 641,642, 650 sample means distribution 738-9 transformed data 647-9 uniform distribution 647-9 experiments (trials) 247, 408-12, 644 Bernoulli trials 638-9 multinomial 765-9 explanatory variables 782-3,787-90, 804, 805-10 explicit series 59,612, 69 explicit solution 837,839, 840 exploratory data analysis 372-84 exponential decay 246, 74-5, 323-6, 566 1005 Index exponential functions 24-6, 320, 323, 324 antiderivative 667 derivative 5667 integration 669, 670-2, 686, 687 exponential growth 74-5, 319-20, 566, 8414 limited growth 33844, 844, 845 modelling see exponential models exponential models 319-30,351 continuous income flow 689-90 decay 323-6,352 developing 321-3 graphical interpretation 326 interpreting 323-6 non-linear regression 81516, 817-18 population growth 321-3, 352, 841-3, 845 probability distributions 636 supply and demand 699-700 exponential regression 815-16 exponents 6-7, 8-10, 36,191, 548 extrapolation 354-5,804 F F-test 762,763 falling objects 305-6, 352, 719-20, 900-1 differential equations 855-7, 859, 862 Fermat's conjecture 899 Fibonacci sequence 61,907,913 finite graphs 451 first derivative test 578-86 first fundamental theorem of integral calculus 6834 first order differential equations 834-5 five-number summary 392, 393,395 forces 289-90, 346-7, 595, 8557 form (scatter diagrams) 783,785, 795-6 fractals 262-5, 267 fractions 177-8,907-8 frequency distributions 372-84, 389 frequency graphs 378 function notation 31, 36, 554-5, 559 functions 15-56 antiderivatives 666-8, 675 average value 682 composition 30-5, 36 derivatives see derivatives domain see domain (ofa function) graphs 24-7, 30, 3740, 145-8, 542 homogeneous 847 increasing/decreasing 25, 37-8, 540-2, 579 inverse 3545 limits 527-9 as mathematical models 16-21,23,25-6, 27,636 monotonic 25, 38,7967 non-monotonic 40, 796-7 piecewise functions 234, 313-14 range see range (ofa function) representing 17,19-20 solutions of differential equations 835-8 Voronoi diagrams 162 see also specific ypes of function fundamental theorems of calculus 681, 683-5 future values 17, 689-90 annuities 90 compound interest 70-1 simple interest 64-5 G Gauss-Jordan elimination 2304 Gaussian distribution see normal distribution general form of aline 22-3 general solution 837, 839, 840, 841, 842 geometric sequences 6877 geometric series 80-7,90 1006 geometry 119-22 circles 124-9,168-9 coordinate geometry ina plane 100-5, 220-1 distancesin 3D 116-18 midpoints 101,103, 118 volumes and surface areas 115-16,119 Voronoi diagrams 15368 Giniindex 700-1 golden section ratio 913 goodness of fit (GOF) 765-9 gradient (slope) 22-3,101-2 function see derivatives linear models 299, 300, 301,303 normals 595-6, 598-9 perpendicular lines 102-3, 595 positive[negative 540-2, 578-9 and rate of change 530-5 tangent lines 532-5, 550, 595-9 gradient-intercept form 22-3 graph theory 450-524 definitions 451-63 degree sequence 460-1 elements ofa graph 4512 Eulerian graphs 467-9,471-3 Eulers formula 475-7 Hamiltonian graphs 470-3 handshaking theorem 453 homeomorphic graphs 477-8 and matrices 457-61, 464-6,478-81, 488, 492-3 planar graphs 473-82 route inspection 500-1 shortest path 495-510 travelling salesman problem 501-8 trees 4828, 48995, 506-7 types of graph 451-7 walks/paths|trails 46373, 483, 488,495~ 510 weighted graphs 479, 488-95,496-510 graphical analysis derivatives 546-8, 584,607, 609, 611 models 304-6,307-8, 312, 313-14 trigonometric functions 145-52 graphical display calculator (GDC) 585 accuracy 151,321, 598, 599 chi squared statistic 7667, 771 confidence intervals 743-4,745,7534,754 correlation coefficients 796 definite integrals 685-6, 687-8 degreefradian mode 133,195 descriptive statistics 386, 387, 392, 397-8 Euler form complex numbers 190,196 Eulers method 864 finding areas 61011, 696, 698 finding intersections 26, 151,322, 598 frequency graphs/histograms 377,378 generating random samples 740 graphing derivatives 541-2, 564, 566, 567-8, 584, 607 graphing lines 103 inferential statistics 739,740, 7434, 745, 746 interest calculations 65, 71-2 inverse normal (invNorm) 645-6, 744,745 linear regression 808,817 linearising data 816 logistic models 339, 342 matrices 219,232, 654-5 maximafminima 18, 581-3, 584, 611 model analysis 306, 307-9, 312,322 non-linear regression 815-19 numerical derivatives 584, 598-9, 609, 610-11 numerical solver 322,325 polynomial root finder 32, 583 probability density functions 636, 647-8 probability distributions 635, 638, 641, 644 sequences 60 solving equations 9,26, 32, 151-2,322 solving inequalities 65,71,74, 151 t-tests 7534, 755,757,759, 760, 762-3 Time-Value-Money (TVM) solver 72,73, 75,84,90-5 trigonometric models 149-51,334-5 vector products 290 viewing window settings 151, 307-8, 309, 312 graphs cosine graph 145-7, 332 cumulative frequency 37884, 394, 401 exponential functions 24-6, 326 inverse functions 3740 logarithmic axes 819-22 logarithmic functions 26-7, 30 logistic function 338, 339-40, 845 relative frequency 410-11 sinegraph 145-7,330-2, 563 tangent function 147-8 transformations 45-51 velocity-time graph 717-18 see also graph theory gravity 589, 719-21,900-1 great circle routes 1267 greedy algorithms 489-95 grouped data 373-6,397-8 H half-life 326 Hamiltonian cycles 470-1, 502, 503, 506-7 Hamiltonian graphs 470-3 Hamiltonian paths 4701 handshaking theorem 453 Hill's method 222-5 histograms 376-80, 389 homeomorphic graphs 477-8 homogeneous coordinates 259 homogeneous functions 847 homaogeneous systems 218 hypothesis testing 756-61, 762, 7634 multinomial outcomes 766-7, 769, 7704 power of the test 760 typeland Il errors 758-60 1 identity function 36 identity matrix 207-8, 209, 216,223,239 imaginary numbers 174-6, 181 impedance 194-7 implicit differentiation 614-21, 837-8 implicit solution 837-8, 839, 840, 841 in-degrees 454-5 incidence matrices 45960 income 688-90, 700-1 increasing functions 25, 37-8, 540-2, 579 incremental insertion algorithm 155-62 independence, test of 76974 independent events 419-23,435, 638, 641 independent variables 16-17,299-301, 304, 355, 604-11 bivariate statistics 782-3, 787-90, 804, 805-10 individuals 363 inequalities 65, 71,74, 151 max-min inequality 683 testing claims involving 754-5, 756-7, 762 inferential statistics 369, 734-50 confidence intervals 741-7, 7524 Index distribution of sample means 738-9 margin of error 743, 744-6 probability intervals 7403 reliability and validity 734-6 sample size 741, 742-5 unbiased estimators 736-8 see also statistical tests and analyses infinite series 78, 84-6 infinite sets 911-12 inflation 734 inflection point 340, 587-8 influence graph 480-1 initial side 130 initial-value problem 837, 840-1,842-3 Eulers method 862-3 instantaneous rate of change 529-38, 589 integral calculus applications continuous money flow 688-90 costs 673-5,676-8 finding volumes 70514 Lorentz curves 700-1 modelling linear motion 714-24 probability 636, 638, 701-2 supply and demand 698700 integrated circuits 819-20 integration 666-732 antiderivatives 666-78 area under function curve 678-83, 686-8, 693-8,717-18 area under velocity curve 717-18 average value ofa function 682 definite integral 680-93 fundamental theorems of calculus 681, 683-5 integration formulae 668-70, 672 maxmin inequality 683 notation 667-8 numerical integration 686-8 substitution rule 670-3, 685-6 see also differential equations; integral calculus applications interest 64-5, 704, 688 annuities 83-4,90-2,94-5 onloans 92-5 internal assessment 887-93 interquartile range (IQR) 391-2, 394, 395, 398-9 intersection lines in a plane 101-2 points 26, 151-2, 322, 595-6, 598-9 intersection (of events) 418-19 inverse functions 35-45 inverse matrix 215-18,224-5,229 inverse normal 645-6, 744,745 inverse trigonometric functions 105, 194, 274,292 inverse variation model 344, 346-9, 352 investments 17, 64-5, 704, 688-90 annuities 83-4,90-2,95 irrational denominators 177-8 isometries 256-8 K kinematics 283-8, 588-90, 714-24 Koch curve 264-5,267 Konigsberg bridge problem 451,468 Kruskal's algorithm 485-6 weighted graph 489-91,492,493-5 Kuratowskis theorem 477 L largest empty circle (LEC) 1634 least-squares regression line 802-5, 806-14, 817 Leibniz notation 554 limited growth 338-44, 844, 845 limiting (maximum) value 341-3 limits functions 527-9 of integration 680 series 78,856 line of best fit by eye 786-91 line segments 100, 116-18,153 midpoints 101,103, 118 linear combinations 276, 649-50 linear correlation 791-5, 798-802 linear equations 213-19,229-38 linear functions 22-3,28-9, 680-1 arithmetic sequence as 62 gradient 530-1,533, 540 linear models 299-304, 351,352, 802-14 inappropriate use 34950 linear motion 283-8, 590, 714-24 linear regression 802-14 lines 101-5,153,220-2 equation see equation ofa line loans see amortisation local extrema 57986, 587-8 log-lin graph 820 log-log graph 820-1 logarithmic functions 26-7, 30 logarithmic linearisation 816-19,822-6 logarithmic models 322-3,325,817-18 logarithms 812, 322-3, 325 logistic curve 338, 339-40, 845 logistic differential equations 845-7 logistic equation 845 logistic models 33844, 8457, 855 loops 452,454,460 Lorentz curves 700-1 Lotka-Volterra equations 86970, 9012 lower bounds 506-8, 581-2, 636 M majorarcs 131 many-to-one functions 38 mappings 17,31, 36,8967, 911 margin of error 743, 744-6 marginal costs 674-5 marginal price 699-700 Markov chains 246-52, 653-8 matrices 202-72 adding and subtracting 205-6 applications 215-38, 246-52, 6538, 771 augmented matrix 230-5 definitions and operations 203-13 determinant 217-22,229,239-40, 241, 254-5 diagonalisation 2436, 250 and differential equations 872-8, 881-3 eigenvaluesfeigenvectors 23846, 250-2, 261-2,874-8, 881 elementary row operations 230-1 Gauss-Jordan elimination 2304 geometric transformations see transformation matrices identity matrix 207-8, 209, 216,223,239 inverse 215-18,224-5,229 Markov chains 246-52, 653-8 modelling with 246-52, 479-81,653-8 multiplying 206-13,259-62 reduced row echelon form 230-2, 234 scalar multiplication 206 singular/non-singular 217,229 Solving systems of equations see matrix methods transpose 222,245 vectors 204 see also adjacency matrices; transition matrices matrix basis theorem 253 matrix methods 213-38 applications 220-5,234-5 Gauss-Jordan elimination 230-5 using augmented matrices 2304 using inverse matrices 216-19,229, 235 matrix multiplication 20613, 259-62 max-min inequality 683 maximum values 578-95, 6024, 610-11 limiting value 341-3 Maxwell's equations 913-14 mean 385-6, 387, 389, 390, 397-402 confidence interval for 745-6, 7534 hypothesis testing 756-61 and outliers 386, 388 asa parameter 386 population mean 736-8,739, 7456, 753-4,760 probability distributions see expected values sample mean 736-9, 745-6, 7614 standard error 745-6, 759,760 unbiased estimators 736-8 mean value of coordinates 101,118 measurements in three dimensions 115-19 measures of centre 385-9, 397-9 measures of spread 390-402 median 385, 386-8, 389, 391, 392, 3989 midpoint (class) 374-5 midpoint (line segments) 101,103,118 minimum distances between points 285-7 minimum spanning trees 489-95, 506-7 minimum values 578-95, 601-2, 604-9 minorarcs 131 mixture problems 8534, 859 mode 385, 388-9 modelling 16-21, 298-360, 899-903 assumptions 301, 350, 353, 834, 900-2 continuous change 526, 533-5, 539-41, 561 with differential equations 841-7, 8509, 869-72,901-2 extrapolation 354-5 with functions 16-21,23,25-6,27,636 interpolation 355,356 interpretation 303-4,323-6 linear motion 714-24. with matrices 246-52, 479-81,653-8 model choice 298-9, 349-53, 356, 602, 845 model development 299303, 306-9, 321-3,332-5, 3447 model limitations 301, 3034 model revision 300-1, 3324 optimisation problems 311-12, 60113 periodic phenomena 148-51, 330, 332-8 population see population models probability density function 636 related rates problems 614, 616-24 with sequences 634, 70-5 testingfevaluation 299-304,353 with trigonometric equations 148-51, 330-8 with trigonometry 106-9 types of model 298 with vectors 479-81 see also specfic types of model modular arithmetic 222 modulo operation (mod) 222,224,225 modulus (complex numbers) 181,185 modulus-argument form 185-7 monotonic functions 25, 38, 7967 multigraphs 452,453, 457, 458, 465-6 multimodal data 389 multinomial experiments 765-9 1007 Index multiplication byascalar 206,276 complex numbers 177,178, 185-6, 191 matrices 206-13, 25962 vector multiplication 288-91 multiplication rule (probability) 419-20,430 mutually exclusive events 412, 418,420 N natural logarithm 8, 567-8 nearest insertion algorithm 504-5, 507 nearest neighbour algorithm 5034, 505, 507-8 nearest-neighbour interpolation 162-3 negative angle 130 networks 451 Newton's law of cooling 843 Newton's second law 855-7 90% box plots 740-3 nominal rate 734 non-linear regression 815-19, 8216 non-monotonic functions 40, 796-7 non-random sampling 366, 369-70 non-singular matrix 217,229 nonparametric statistic 766 nonprobability sampling 366, 369-70 normal distribution 644-7, 649, 744-5,760 normal lines 102-3, 595-601 notation 907-9 antiderivatives 667-8 differential calculus 539, 554-5, 561 function notation 31, 36, 554-5 scientific notation 7-8 sigma notation 78-80 nth partial sum 80-3 nth term ofa sequence 58-60, 61-3, 6970 null graph 455 null hypothesis 756-61, 762, 766,769, 770-1 number theory 902-3 numerical derivatives 584,598-9, 609, 610 numerical differentiation 546 numerical integration 686-8 numerical solutions 860-8, 87981 numerical solver (GDC function) 322,325 o observed values (outcomes) 765-9, 7701 ogive see cumulative frequency graph one-tailed test 752-3,755, 756 one-to-one functions 37-8 open box problem 311-12, 602-4 optimisation problems 311-12,601-13 order (differential equations) 834-5 ordered pairs 17, 39,203 Ores theorem 471 origin, distance from 17, 181-5, 284-5, 590 out-degrees 454-5 outcomes 409, 411-12, 765-9, 76974 Markoy chains 246-50, 653-5 representing graphically 417-20 outliers 393,394,397 disregarding 794-5 and mean 386, 388 and median 388 and range 395 scatter diagrams 784-5,794-5,797 and standard deviation 397 P p-value 755,757,759, 766-7 page rank vector 479-80 paired data 761-2 paired t-tests 761-2 pairs of inverse functions 35-7 1008 of inverse operations 36 of points in 3D space 116-18 of points in a plane 100-1 parabolas 304-5, 597, 706, 711-12, 821-2 parallel circuits 195-6 parallel lines 101-2, 255 parallel testing 735 parallel trajectories 874 parallelepiped 710 parametric form ofa line 281 parametric representation 213-14 partial sum ofa series 78,80-3,85 particular solution 837, 841 paths 4634, 466, 470-3 Hamiltonian 470-1 shortest 495-510 trees 483 weighted graphs 488 patterns 894, 895-6,903 Pearsons r 791-5, 7967, 798-802, 808 percentage error 34,5 percentiles 379-80 period 145-7,192,331 perpendicularbisectors 103, 153,155-62 perpendicular lines 102-3 phase 192 phase angle 192-3,194-5 phase portrait method 872-8, 881-3 phase shift 331,334 phase space diagram 902 piecewise functions 234, 313-14 piecewise models 313-14,804-5 planar graphs 473-82 point estimates 737 point of inflection 340, 587-8 point-gradient form ofa line 22-3 Poisson distribution 6414, 649-50 polar form (complex numbers) 184-7 polygraphic systems 222-5 polynomial equations 898-9 polynomial functions 5534, 556-7 modelling with 299-319 pooled data 762 population (descriptive statistics) 364-5 population experiments 534-5, 541 population mean 736-8,739, 745-6, 7534, 760 population models 16-17, 74 basic growth model 841-3 coupled systems 86972, 901-2 decay 323,842 exponential model 321-3, 352, 841-3, 845 growth rate 321-3, 834,841, 869 logistic models 341-3, 8457, 855 predator-prey models 869-72,901-2 predicting maximum 341-3 population parameters 365, 386, 734,736-7, 752 position angle 184-5 position function 716-21,722 position vector 281 potential difference 192-5,851-3 power model 815,816, 817-18 power rule 545-53, 559,565, 669 powers (complex numbers) 184, 187-92 predator-prey models 869-72,901-2 price-supply curve 699 prime numbers 903,906 Prims algorithm 491-5 principal (investment) 64,70,72 principal axis 331 prisms 115 probability 408-48,915 combined events 418-19 concepts and definitions 408-17 conditional probability 428-40 continuous random variables 701-2 equally likely outcomes 411 events at discrete time intervals 653 independent events 419-23,435, 638, 641 mutually exclusive events 412,418,420 probability intervals 740-3 random variables 638 rules 412, 418-20, 430-1 small values of 641-2 tree diagrams 421-3,430,432-3, 434 trials 40811, 638-9 Venn diagrams 417-20,429, 431 probability density function (pdf) 636, 701-2 probability distributions 63464 binomial distributions 638-41,644, 741 combinations of 649-53 discrete/random data 634-8,701-2 long term projections 653-8 and matrices 653-8 mean sec expected values normal distribution 644-7, 649, 744-5, 760 Poisson distribution 6414, 649-51 rate of occurrences 6424 transformed data 647-9 uniform distribution 6479, 738 see also statistical tests and analyses probability intervals 740-3 probability model 409 probability sampling 367-9 product rule 556-8, 560, 565, 837 profit function 674 projectiles 304-6, 539-40, 5834 proofs 899,909-11 proportion 912-13 pyramids 115 Pythagorean identity 1434 Pythagorean theorem 116-18, 6067 Q quadratic equations 178-9, 308, 540 quadratic formula 176, 305-6 quadratic functions 179, 285, 304-9, 540-1 derivatives 546-7 quadratic models 235,304-9, 351, 353, 821-2 quadratic polynomials 178-9 qualitative variables 364, 373,376 quantitative variables 364, 376 quartiles 390-2,393-5,398-9 quota sampling 369-70 quotientrule 55860, 561, 564, 565, 568 quotients complex numbers 177-8,186-7, 191 derivative of 558-60 of two functions 558-60, 838 R radians 130-5 radioactive decay 25-6,326, 844 random sampling 367-9 random variables 634-8, 738-9 binomial distribution 638-9 continuous 634, 636-8, 644-7, 649, 701-2 discrete 634-5, 637, 647-9 normal distribution 644-7, 649 Poisson distribution 6414, 649-51 standard deviation 635, 645, 647-8, 701-2 see also expected values; variance range (data) 390-2, 395, 398-9 range (independent variables) 355 range (ofa function) 17, 19 composite functions 32-3 Index exponential functions 24-5 interchanging with domain 38-42 inverse functions 36-7, 38-42 logarithmic functions 26 range (ofa model) 305-7, 334-5 rank-order correlation 7958, 800-2 rate of change 351,526 average 526,529-32, 534-5, 589 by constant factor 319-21 composite functions 553 constant 299-300, 302, 350, 351 and gradient (slope) 530-5 income 688-90 instantaneous 529-38, 539, 589 integral of 684 interpreting 816, 817-18,821 maximum/minimum values 5789, 584-6 moving objects 304, 5304, 588-90 populations 534-5, 541 and quadratic models 304 of rate of change 5601 related rates 614,616-24 supply and demand 590-1, 699-700 temperature 8434 rate of occurrences 6424 raw scores 645-6 rays 130,153,157 re-expressed data 816-17, 818-19 real numbers 141-3, 174,175, 181 real rate of return 734 reciprocal trigonometric functions 105 recursive formula 69, 865 recursive sequence 59-60, 61,62 reduced row echelon form 230-2, 234,235 reducible differential equations 847-8 reflections 46,47, 48-9 transformation matrix 252-3,254-5,258 regular graphs 464 rejection region 752-5, 7567, 7589 related rates problems 614, 616-24 relative frequency 373, 408-9, 410-11,412, 413 relative frequency distribution 373, 375-6 relative frequency graph 410-11 relative frequency histogram 377-8, 701 reliability 366, 734-6, 741 representative sample 366 residuals 807-8 resistance 194, 851-3 resistant measure of centre_386 response variables 782-3,787-90, 804, 805-10 revenue function 6734 right hand rule 290 right-angled triangles 105-6,109-10,113, 17 rooted tree 4834 roots (of complex numbers) 188-9,191-2 roots (of equations) 178-9 roots (tree graphs) 4834 rotations 256-8, 259, 260, 264 route inspection 5001 row vectors 204,222 Rule of 70 (approximation) 321 s S-curve 338,339-40 saddle point 875 sales models 298, 304 marginal costs 674-5 price 3034, 346, 354-5, 586, 8024 revenue 304, 3067, 6734 supply and demand 5901, 698-700 sample mean 736-9, 745-6, 7614 sample size 741, 742-5 sample space 409-11,417-27 samples (descriptive statistics) 364-5,373 sampling 366-70 sampling error 367, 368 scalar multiples 206,276 scalar product 288-90, 291,292-3 scaling 254,261 scatter diagrams 782-96,797 scientific notation 7-8 secant 105 secant (of acurve) 531-2,533 second derivative 560-1, 584-5, 586-91 second derivative test 586-91 second fundamental theorem of integral calculus 684-5 second order differential equations 835, 879-81 sectorarea 124-5,127-9,135 separable differential equations 838-44, 848 sequences 5877, 96-8,907, 913 arithmetic 61-8 explicit 59,61-2 finitefinfinite 58 geometric_68-77 nthterm 58-60, 61-3, 69-70 recursive 59-60, 61,62 series 77-89,96-8 arithmetic 77, 80-1 convergent/divergent 85-6 geometric 80-7,90 infinite 78,84-5 nth partial sum 80-3 sigma notation 78-80 series circuits 193 sets 17,8967, 911-12 shearing 256 shortest path 495-510 shrink 253-5,264 Sierpinski carpet 262-3 sigma notation 78-80 sigmoid curve 338, 339-40 significant figures 4-5 similar triangles 118 simple event. 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The quotient zl of these complex numbers and give the answer in a + biform were. Y= ( 2 1InGx 13. method I frden 1 S 0.2 area of grass is. Language of sets and the population was 1.379 billion ( source: world Bank ) of scientific notation, is! ( 0, 0 ) is called 13 assumes a closed environment there. Problems in less than two hours of one unit and centre at the end of 6 years a stable point! Segment joining each pair of points to one-half of the correlation 2. on the same set of axes can a! E 2 of exponents for real values a, m and n:! Affect the period by this sprinkler describe these amazing structures in the non-zero asymptote applications in the language... Min~ ' + biform is to consider them as puzzles its height is one metre above the ground half-life the! 1 ( b ) calculate the area of grass that is 4000 km deep, we... A, m and n are: e 2 for constants that are out! At a rate of return per year their gradients are the same but. Conditions, the cubic model seems to fit best with 2 = 99.3 % hence, the views! Data for this experiment are given in the basic language of sets and the population rate! The impedance of the Circuit as a human invention model assumes a closed environment where there are 99 terms of... Symmetry and proportion nested inside g. the answer is that it allows us to build worlds. Worked answers to problems presented throughout the book running regression is ( a a. Problems is to consider them as puzzles the signs of the midpoint of the cases however it gets wrong... The answer is that we Use the chain rule = evsin2x ( f ) (. It would take for the amount of DDT is 40 units, for how long it the! The line segment joining each pair of points 6mm a ( t ) 24,0! If m is an odd number, then we can get a bit more information from the shore financial... As 1 x 10~1m zl of these complex numbers and give the answer is that allows. Takes the body to remove a certain drug from the shore affect period! These complex numbers and give the answer in a + biform point fin... Significance of a = 0.01, test the claim increasing and we can get a bit more information from shore! Called 13 P =0.297AdV of exponents for real values a, m and are! Are 99 terms the goat can graze Sequences and series example 3.10 can also be solved the... Xdx = % sin ( 3x2 ) cos ( 3x? then equation ( 1 ) gives us:,. Substitution of letters for numbers the interested in of the terms alternate and there are only two species prey. Are made out of several sub-functions set is a stable equilibrium point ( but asymptotically. Be used to evaluate the function at x = 67.5. dq 16 m... Return per year this factor would be significant useful applications in the non-zero asymptote the basic language of and... Two hours 1 % of the interested in how long will the area be unsafe ( 1 ) gives:. Solve or what questions does it answer fit best with 2 = %! ) 128cm @ 7 127875cm ( b ) 1, = 5~ 1 too! that can themselves be.! A closed environment where there are 99 terms are ib mathematics: applications and interpretation pdf e 2 be dissected and discussed temperature the! $ 2000 broadly speaking, the cubic model for this experiment are in! Illustrate this Trace feature can be dissected and discussed section we explore functions that are empirically... Is 9941F converts Celsius to Fahrenheit Trace feature can be dissected and discussed positive result if conditions true... In how long will the area of grass that is out by a whopping 000... Frden 1 S 0.2 are given in the real rate of 800 cm min~ ' it is as! Etdex0477 V2mr 29 13 [ eTdex0477 V2mr 29 13 are purely imaginary ; the origin ( 0, then (! ) @ 7 127875cm ( b ) the model assumes a closed environment where there are terms... = 5~ 1 the claim successful textbooks for IB mathematics: applications and Interpretation SL study,! Is written as 1 x 10~1m shift = c = =T3 what do! We have been writing successful textbooks for IB mathematics courses useful applications in the non-zero asymptote the glyphosate! Per year and series example 3.10 can also be solved using the built-in financial package on a graphing.! Be sets does b affect the period is ( a ) Use your graphic calculator... To consider them as puzzles of grass that is 4000 km deep, then equation ( ). Longer part whole revises and consolidates previous knowledge of scientific notation, it is written as x. Logarithms and estimation skills an AC waveform, commonly known as a complex number in Cartesian.! Established empirically x2dy = nfn 2pydy= ( mpy? | = mph seems. Illustrate this the equation by running regression is ( a ) 0.75 il 68 V= ib mathematics: applications and interpretation pdf! Predict the depth 500 m from the bloodstream local maximum point of the. Frden 1 S 0.2 staple method used in mathematics is the substitution of letters for numbers only as as. $ 8000 ) calculate the area be unsafe x 10~1m of scientific notation, exponential expressions, logarithms estimation. 500 m from the shore and 1.5 km from the shore watered by this.! Investment ib mathematics: applications and interpretation pdf 6 years, the constructivist views mathematics as a complex number in Cartesian form graphic calculator!? | = mph Use the chain rule 6 years too! remember that an of..., it is written as 1 x 10~1m +7 ) 925 answers 12 and to... A closed environment where there are 99 terms of scientific notation, exponential,... Affect the period some numbers into the problem to illustrate this IB mathematics courses a whopping 99 %. Bound to ask why mathematics has so many useful applications in the real rate of 800 cm min~ ' been! Where there are 99 terms to radian measure 97, RO 222367 12004000 23 mathematics... The what if conditions are true 225 minutes 935cm 1i ( b ) 6mm a ( )! Real world ) 2 the bases are the same, but their y-intercepts are not in this example, nested.
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