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for the international student
Mathematics HL (Options)
Mathematics
Peter Blythe
Peter Joseph
Paul Urban
David Martin
Robert Haese
Michael Haese
Specialists in mathematics publishing
HAESE HARRIS PUBLICATIONS&
International
Baccalaureate
Diploma
Programme
Including coverage on CD of the
option forGeometry Further Mathematics SL
IBHL_OPT
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MATHEMATICS FOR THE INTERNATIONAL STUDENT
International Baccalaureate Mathematics HL (Options)
This book is copyright
Copying for educational purposes
Acknowledgements
Disclaimer
Peter Blythe B.Sc.
Peter Joseph M.A.(Hons.), Grad.Cert.Ed.
Paul Urban B.Sc.(Hons.), B.Ec.
David Martin B.A., B.Sc., M.A., M.Ed.Admin.
Robert Haese B.Sc.
Michael Haese B.Sc.(Hons.), Ph.D.
Haese & Harris Publications
3 Frank Collopy Court, Adelaide Airport, SA 5950, AUSTRALIA
Telephone: +61 8 8355 9444, Fax: + 61 8 8355 9471
Email:
National Library of Australia Card Number & ISBN 1 876543 33 7
© Haese & Harris Publications 2005
Published by Raksar Nominees Pty Ltd
3 Frank Collopy Court, Adelaide Airport, SA 5950, AUSTRALIA
First Edition 2005 2006 (twice)
Cartoon artwork by John Martin. Artwork by Piotr Poturaj and David Purton.
Cover design by Piotr Poturaj.
Computer software by David Purton.
Typeset in Australia by Susan Haese and Charlotte Sabel (Raksar Nominees).
Typeset in Times Roman 10 /11
The textbook and its accompanying CD have been developed independently of the International
Baccalaureate Organization (IBO). The textbook and CD are in no way connected with, or
endorsed by, the IBO.
. Except as permitted by the Copyright Act (any fair dealing for the
purposes of private study, research, criticism or review), no part of this publication may be
reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic,
mechanical, photocopying, recording or otherwise, without the prior permission of the publisher.
Enquiries to be made to Haese & Harris Publications.
: Where copies of part or the whole of the book are made
under Part VB of the Copyright Act, the law requires that the educational institution or the body
that administers it has given a remuneration notice to Copyright Agency Limited (CAL). For
information, contact the Copyright Agency Limited.
: The publishers acknowledge the cooperation of many teachers in the
preparation of this book. A full list appears on page 4.
While every attempt has been made to trace and acknowledge copyright, the authors and publishers
apologise for any accidental infringement where copyright has proved untraceable. They would be
pleased to come to a suitable agreement with the rightful owner.
: All the internet addresses (URL’s) given in this book were valid at the time of
printing. While the authors and publisher regret any inconvenience that changes of address may
cause readers, no responsibility for any such changes can be accepted by either the authors or the
publisher.
Reprinted
\Qw_\Qw_
info@haeseandharris.com.au
www.haeseandharris.com.au
Web:
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Mathematics for the International Student: Mathematics HL (Options)
Mathematics HL (Core)
Further Mathematics SL
has been written
as a companion book to the textbook. Together, they aim to provide
students and teachers with appropriate coverage of the two-year Mathematics HL Course
(first examinations 2006), which is one of the courses of study in the International
Baccalaureate Diploma Programme.
It is not our intention to define the course. Teachers are encouraged to use other resources. We
have developed the book independently of the International Baccalaureate Organization
(IBO) in consultation with many experienced teachers of IB Mathematics. The text is not
endorsed by the IBO.
On the accompanying CD, we offer coverage of the Euclidean Geometry Option for students
undertaking the IB Diploma course . This Option (with answers)
can be printed from the CD.
The interactive features of the CD allow immediate access to our own specially designed
geometry packages, graphing packages and more. Teachers are provided with a quick and
easy way to demonstrate concepts, and students can discover for themselves and re-visit when
necessary.
Instructions appropriate to each graphics calculator problem are on the CD and can be printed
for students. These instructions are written for Texas Instruments and Casio calculators.
In this changing world of mathematics education, we believe that the contextual approach
shown in this book, with associated use of technology, will enhance the students
understanding, knowledge and appreciation of mathematics and its universal application.
We welcome your feedback Email:
Web:
PJB PJ PMU
DCM RCH PMH
info@haeseandharris.com.au
www.haeseandharris.com.au
FOREWORD
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The authors and publishers would like to thank all those teachers who have read the proofs of
this book and offered advice and encouragement.
Special thanks to Mark Willis for permission to include some of his questions in HL Topic 8
‘Statistics and probability’. Others who offered to read and comment on the proofs include:
Mark William Bannar-Martin, Nick Vonthethoff, Hans-Jørn Grann Bentzen, Isaac Youssef,
Sarah Locke, Ian Fitton, Paola San Martini, Nigel Wheeler, Jeanne-Mari Neefs, Winnie
Auyeungrusk, Martin McMulkin, Janet Huntley, Stephanie DeGuzman, Simon Meredith,
Rupert de Smidt, Colin Jeavons, Dave Loveland, Jan Dijkstra, Clare Byrne, Peter Duggan, Jill
Robinson, Sophia Anastasiadou, Carol A. Murphy, Janet Wareham, Robert Hall, Susan
Palombi, Gail A. Chmura, Chuck Hoag, Ulla Dellien, Richard Alexander, Monty
Winningham, Martin Breen, Leo Boissy, Peter Morris, Ian Hilditch, Susan Sinclair, Ray
Chaudhuri, Graham Cramp. To anyone we may have missed, we offer our apologies.
The publishers wish to make it clear that acknowledging these individuals does not imply any
endorsement of this book by any of them, and all responsibility for the content rests with the
authors and publishers.
ACKNOWLEDGEMENTS
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TABLE OF CONTENTS 5
FURTHER MATHEMATICS SL TOPIC 1
HL TOPIC 8
HL TOPIC 9
HL TOPIC 10
GEOMETRY
STATISTICS AND PROBABILITY
SETS, RELATIONS AND GROUPS
SERIES AND DIFFERENTIAL EQUATIONS
Available only by clicking on the icon alongside.
This chapter plus answers is fully printable.
9
A Expectation algebra 10
B Cumulative distribution functions 19
C Distributions of the sample mean 45
D Confidence intervals for means and proportions 60
E Significance and hypothesis testing 73
F The Chi-squared distribution 88
Review set 8A 101
Review set 8B 104
109
A Sets 110
B Ordered pairs 119
C Functions 131
D Binary operations 136
E Groups 145
F Further groups 159
Review set 9A 166
Review set 9B 169
171
A Some properties of functions 174
B Sequences 190
C Infinite series 199
(Further mathematics SL Topic 2)
(Further mathematics SL Topic 3)
(Further mathematics SL Topic 4)
TABLE OF CONTENTS
TOPIC 1
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6 TABLE OF CONTENTS
D Taylor and Maclaurin series
E First order differential equations
Review set 10A
Review set 10B
Review set 10C
Review set 10D
Review set 10E
A.1 Number theory introduction
A.2 Order properties and axioms
A.3 Divisibility, primality and the division algorithm
A.4 Gcd, lcm and the Euclidean algorithm greatest common divisor (gcd)
A.5 The linear diophantine equation
A.6 Prime numbers
A.7 Linear congruence
A.8 The Chinese remainder theorem
A.9 Divisibility tests
A.10 Fermat’s little theorem
B.1 Preliminary problems involving graph theory
B.2 Terminology
B.3 Fundamental results of graph theory
B.4 Journeys on graphs and their implication
B.5 Planar graphs
B.6 Trees and algorithms
B.7 The Chinese postman problem
B.8 The travelling salesman problem (TSP)
Review set 11A
Review set 11D
Review set 11E
DISCRETE MATHEMATICS
A NUMBER THEORY
B GRAPH THEORY
Review set 11B
Review set 11C
223
229
242
242
243
244
245
247
248
248
249
256
263
270
274
278
286
289
292
296
296
297
301
310
316
319
332
336
339
342
343
345
351
411
ax by c¡+¡ ¡=¡
340
341
HL TOPIC 11
APPENDIX (Methods of proof)
ANSWERS
INDEX
(Further mathematics SL Topic 5)
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E(X) the expected value of X,
which is ¹
Var(X) the variance of X,
which is ¾
2
X
Z =
X ¡¹
¾
the standardised variable
P( ) the probability
of occurring
» is distributed as
¼ is approximately equal to
x the sample mean
s
2
n
the sample variance
s
2
n¡1
the unbiassed estimate of ¾
2
¹
X
the mean of random
variable X
¾
X
the standard deviation
of random variable X
DU(n) the discrete uniform
distribution
B(n, p) the binomial distribution
B(1, p) the Bernoulli distribution
Hyp(n, M, N) the hypergeometric
distribution
Geo(p) the geometric distribution
NB(r, p) the negative binomial
distribution
Po(m) the Poisson distribution
U(a, b) the continuous uniform
distribution
Exp(¸) the exponential distribution
N(¹, ¾
2
) the normal distribution
bp the random variable
of sample proportions
X the random variable
of sample means
T the random variable
of the t-distribution
º the number of degrees
of freedom
H
0
the null hypothesis
H
1
the alternative hypothesis
Â
2
calc
the chi-squared statistic
SYMBOLS AND NOTATION
f g the set of all elements
2 is an element of
=2 is not an element of
fx j the set of all x such that
N the set of all natural numbers
Z the set of integers
Q the set of rational numbers
R the set of real numbers
C the set of all complex
numbers
Z
+
the set of positive integers
P the set of all prime numbers
U the universal set
; or fg the empty (null) set
µ is a subset of
½ is a proper subset of
P (A) the power of set A
A \ B the intersection of sets
A and B
A [ B the union of sets A and B
) implies that
)Á does not imply that
A
0
the complement of the set A
n(A) the number of elements
in the set A
A nB the difference of sets
A and B
A¢B the symmetric difference
of sets A and B
A £B the Cartesian product of
sets A and B
R a relation of ordered pairs
xRy x is related to y
x ´ y(mod n)
x is equivalent to y, modulo n
Z
n
the set of residue classes,
modulo n
£
n
multiplication, modulo n
2Z the set of even integers
f : A ! B
f : x 7! yfis a function under which
x is mapped to y
f(x) the image of x under
the function f
f
¡1
the inverse function of
the function f
f
A
B
is a function under which
each element of set has
an image in set
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f ±g or f(g(x)) the composite function of f and g
jxj the modulus or absolute value of x
[ a , b ] the closed interval, a 6 x 6 b
] a, b [ the open interval a<x<b
u
n
the nth term of a sequence or series
fu
n
g the sequence with nth term u
n
S
n
the sum of the first n terms of a sequence
S
1
the sum to infinity of a series
n
X
i=1
u
i
u
1
+ u
2
+ u
3
+ ::::: + u
n
n
Q
i=1
u
i
u
1
£u
2
£u
3
£::::: £u
n
lim
x!a
f(x) the limit of f(x) as x tends to a
lim
x!a+
f(x) the limit of f(x) as x tends to a from the positive side of a
maxfa, bg the maximum value of a or b
1
X
n=0
c
n
x
n
the power series whose terms have form c
n
x
n
a j badivides b, or a is a factor of b
a jÁ badoes not divide b, or a is a not a factor of b
gcd(a, b) the greatest common divisor of a and b
lcm(a, b) the least common multiple of a and b
»
=
is isomorphic to
G is the complement of G
A matrix A
A
n
matrix A to the power of n
A(G) the adjacency matrix of G
A(x, y) the point A in the plane with Cartesian coordinates x and y
[AB] the line segment with end points A and B
AB the length of [AB]
(AB) the line containing points A and B
b
A the angle at A
[
CAB or ]CAB the angle between [CA] and [AB]
¢ABC the triangle whose vertices are A, B and C
or the area of triangle ABC
k is parallel to
kÁ is not parallel to
? is perpendicular to
AB.CD length AB £ length CD
PT
2
PT £ PT
Power M
C
the power of point M relative to circle C
¡!
AB the vector from A to B
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Statistics and probability
88
Contents:
A
B
C
D
E
F
Expectation algebra
Cumulative distribution functions
(for discrete and continuous
variables)
Distribution of the sample mean
and the Central Limit Theorem
Confidence intervals for means and
proportions
Significance and hypothesis testing
and errors
The Chi-squared distribution, the
“goodness of fit” test, the test for
the independence of two variables.
Before beginning any work on this option, it is recommended that a careful revision of
the core requirements for statistics and probability is made.
This is identified by “ ” as expressed in the syl-
labus guide on pages 26–29 of IBO document on the Diploma Programme Mathe-
matics HL for the first examination 2006.
Throughout this booklet, there will be many references to the core requirements,
taken from “Mathematics for the International Student Mathematics HL (Core)” Paul
Urban et al, published by Haese and Harris, especially chapters 18, 19, and 30. This
will be referred to as “from the text”.
Topic 6 – Core: Statistics and Probability
HL Topic
(Further Mathematics SL Topic 2)
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Y:\HAESE\IBHL_OPT\IBHLOPT_08\009IBO08.CDR Wednesday, 17 August 2005 3:48:10 PM PETERDELL
10 STATISTICS AND PROBABILITY (Topic 8)
Recall that if a random variable X has mean ¹ then ¹ is known as the expected value of X,
or simply E(X).
¹ = E(X)=
(
P
xP (x), for discrete X
R
xf(x) dx, for continuous X
From section 30E.1 of the text (Investigation 1) we noticed that
E(aX + b)=aE(X)+b
Proof: (discrete case only) E(aX + b)=
P
(ax + b)P (x)
=
P
[axP( x)+bP (x)]
= a
P
xP(x)+b
P
P (x)
= aE(X)+b(1) fas
P
P (x)=1g
= aE(X)+b
A random variable X, has variance ¾
2
, also known as Var(X)
where
¾
2
= Var(X) = E((X ¡ ¹)
2
)
Notice that for discrete X ² Var(X) =
P
(x ¡ ¹)
2
p(x)
² Var(X) =
P
x
2
p(x) ¡ ¹
2
² Var(X) = E(X
2
) ¡fE(X)g
2
Again, from Investigation 1 of Section 30E.1, Var(aX + b) = a
2
Var(X)
Proof: (discrete case only)
Va r(aX + b)=E((aX + b)
2
) ¡fE(aX + b)g
2
= E
¡
a
2
X
2
+2abX + b
2
¢
¡faE(X)+bg
2
= a
2
E(X
2
)+2ab E(X)+b
2
¡a
2
fE(X)g
2
¡2ab E(X) ¡ b
2
= a
2
E(X
2
) ¡ a
2
fE(X)g
2
= a
2
[E(X
2
) ¡fE(X)g
2
]
= a
2
Va r (X)
The standardised variable Z is defined as Z =
X ¡ ¹
¾
and has mean 0 and variance 1.
EXPECTATION ALGEBRA
A
E( )XX, THE EXPECTED VALUE OF
Var( )XX¡ , THE VARIANCE OF
THE STANDARDISED VARIABLE, Z
If a random variable is normally distributed with mean and variance we write
N , , where reads .
X¹¾
X¹¾
2
»»()2 is distributed as
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[...]... 50 25 5 0 100 95 75 50 25 5 0 cyan black IBHL_OPT 31 STATISTICS AND PROBABILITY (Topic 8) Reminder: For the uniform distribution in Example 13 the sample space U = f1, 2, 3, 4, , ng However, the n distinct outcomes of a uniform distribution do not have to equal the set U The Mathematics HL information booklet available for tests and examinations contains the table shown below: DISCRETE DISTRIBUTIONS... 25) Find: a the mean and standard deviation of the random variable U = 3X + 2Y: b P(U < 0) 3 The marks in an IB Mathematics HL exam are distributed normally with mean ạ and standard deviation ắ If the cut off score for a 7 is a mark of 80%, and 10% of students get a 7, and the cut off score for a 6 is a mark of 65% and 30% of students get a 6 or 7, find the mean and standard deviation of the marks in... determine whether the approximation was a good one 6 The cook at a school needs to buy five dozen eggs for a school camp The eggs are sold by the dozen Being experienced the cook checks for rotten eggs He selects two eggs simultaneously from the dozen pack and if they are not rotten he purchases the dozen eggs Given that there is one rotten egg on average in each carton of one dozen eggs, find: a the probability... Calculate the probability that more than 250 ticket holders will arrive for the flight c Calculate the probability that there will be empty seats on this flight d Calculate the: i mean ii variance of X: iii Hence use a suitable approximation for X to calculate the probability that more than 250 ticket holders will arrive for the flight iv Use a suitable approximation for X to calculate the probability there... wait no longer to book a holiday The tourist decides to book for the earliest date for which the probability that snow will have fallen on or before that date is greater than 0:85 Find the exact date of the booking 8 In a board game for four players, each player must roll two fair dice in turn to get a difference of no more than 3 before they can begin to play a Find the probability of getting a difference... tournament purchase these balls They sample 2 balls from each carton and if they are both not faulty, they purchase the carton b Find the proportion of all cartons that would be rejected by the purchasers How many of 1000 cartons would the buyers expect to reject? Hint: Draw a probability distribution table for X Calculate a probability distribution for rejecting a carton for each of the values of X... inclusive a What is the mean expected score obtained on this wheel during the day? b What is the standard deviation of the scores obtained during the day? c What is the probability of getting a multiple of 7 in one spin of the wheel? If the wheel is spun 500 times during the day: d What is the likelihood of getting a multiple of 7 more than 15% of the time? Given that 20 people play each time the wheel is... these values for the mean and variance can be found using the rules for calculating mean and variance given above, the formal treatment of proofs of means and variances are excluded from the syllabus However, just as in Example 12, it is possible to derive these values In the case of the Binomial distribution, using the result that 100 95 75 50 25 5 0 100 95 75 50 25 5 0 cyan black IBHL_OPT 32 STATISTICS... Section 30H of the Core text mx eĂm where x = 0, 1, 2, 3, 4, x! and m is the mean and variance of the Poisson random variable x X mx eĂm i.e., E(X) = Var(X) = m and the cdf is F (x) = P(X 6 x) = x! r=0 It has probability mass function P(X = x) = Note: For the Poisson distribution, the mean always equals the variance We write X ằ P0 (m) to indicate that X is the random variable for the Poisson distribution,... nature were in the Core HL text Example 8 A class of IB students contains 10 females and 9 males A student committee of three is to be randomly chosen If X is the number of females on the committee, b P(X = 1) c P(X = 2) d P(X = 3) find: a P(X = 0) Ă Â 19 or C 3 The total number of unrestricted committees = 19 3 fas there are 19 students to choose from and we want any 3 of themg Ă 10 Â Ă 9 Â The number . 2006 10:22:48 AM PETERDELL
Mathematics for the International Student: Mathematics HL (Options)
Mathematics HL (Core)
Further Mathematics SL
has been written
as. AM PETERDELL
MATHEMATICS FOR THE INTERNATIONAL STUDENT
International Baccalaureate Mathematics HL (Options)
This book is copyright
Copying for educational
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