954 sp math(t)b

1
STPM/S(E)954
PEPERIKSAAN
SIJIL TINGGI PERSEKOLAHAN MALAYSIA
(MALAYSIA HIGHER SCHOOL CERTIFICATE EXAMINATION)
MATHEMATICS (T)
Syllabus and Specimen Papers
This syllabus applies for the 2012/2013 session and thereafter until further notice.
MAJLIS PEPERIKSAAN MALAYSIA
(MALAYSIAN EXAMINATIONS COUNCIL)

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NATIONAL EDUCATION PHILOSOPHY
“Education in Malaysia is an on-going effort towards further
developing the potential of individuals in a holistic and
integrated manner, so as to produce individuals who are
intellectually, spiritually, emotionally and physically
balanced and harmonious, based on a belief in and devotion
to God. Such effort is designed to produce Malaysian
citizens who are knowledgeable and competent, who possess
high moral standards, and who are responsible and capable
of achieving a high level of personal well-being as well as
being able to contribute to the betterment of the family, the
society and the nation at large.”

3
FOREWORD
This revised Mathematics (T) syllabus is designed to replace the existing syllabus which has been in
use since the 2002 STPM examination. This new syllabus will be enforced in 2012 and the first
examination will also be held the same year. The revision of the syllabus takes into account the
changes made by the Malaysian Examinations Council (MEC) to the existing STPM examination.
Through the new system, the form six study will be divided into three terms, and candidates will sit
for an examination at the end of each term. The new syllabus fulfils the requirements of this new
system. The main objective of introducing the new examination system is to enhance the teaching
and learning orientation of form six so as to be in line with the orientation of teaching and learning in
colleges and universities.
The Mathematics (T) syllabus is designed to provide a framework for a pre-university course that
enables candidates to develop the understanding of mathematical concepts and mathematical thinking,
and acquire skills in problem solving and the applications of mathematics related to science and
technology. The assessment tools of this syllabus consist of written papers and coursework.
Coursework offers opportunities for candidates to conduct mathematical investigation and
mathematical modelling that enhance their understanding of mathematical processes and applications
and provide a platform for them to develop soft skills.
The syllabus contains topics, teaching periods, learning outcomes, examination format, grade
description and specimen papers.
The design of this syllabus was undertaken by a committee chaired by Professor Dr. Abu Osman bin
Md Tap from International Islamic University Malaysia. Other committee members consist of
university lecturers, representatives from the Curriculum Development Division, Ministry of
Education Malaysia, and experienced teachers who are teaching Mathematics. On behalf of MEC, I
would like to thank the committee for their commitment and invaluable contribution. It is hoped that
this syllabus will be a guide for teachers and candidates in the teaching and learning process.
Chief Executive
Malaysian Examinations Council

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CONTENTS
Syllabus 954 Mathematics (T)
Page
Aims 1
Objectives 1
Content
First Term: Algebra and Geometry 2 – 5
Second Term: Calculus 6 – 8
Third Term: Statistics 9 – 12
Coursework 13
Scheme of Assessment 14
Performance Descriptions 15
Mathematical Notation 16 – 19
Electronic Calculators 20
Reference Books 20
Specimen Paper 1 21 – 26
Specimen Assignment Paper 4 45 – 46

1
SYLLABUS
954 MATHEMATICS (T)
[May not be taken with 950 Mathematics (M)]
Aims
The Mathematics (T) syllabus is designed to provide a framework for a pre-university course that
enables candidates to develop the understanding of mathematical concepts and mathematical thinking,
and acquire skills in problem solving and the applications of mathematics related to science and
technology.
Objectives
The objectives of the syllabus are to enable candidates to:
(a) use mathematical concepts, terminology and notation;
(b) display and interpret mathematical information in tabular, diagrammatic and graphical forms;
(c) identify mathematical patterns and structures in a variety of situations;
(d) use appropriate mathematical models in different contexts;
(e) apply mathematical principles and techniques in solving problems;
(f) carry out calculations and approximations to an appropriate degree of accuracy;
(g) interpret the significance and reasonableness of results;
(h) present mathematical explanations, arguments and conclusions.

2
FIRST TERM: ALGEBRA AND GEOMETRY
Topic
Teaching
Period
Learning Outcome
1 Functions 28 Candidates should be able to:
1.1 Functions 6 (a) state the domain and range of a function, and
find composite functions;
(b) determine whether a function is one-to-one,
and find the inverse of a one-to-one function;
(c) sketch the graphs of simple functions,
including piecewise-defined functions;
1.2 Polynomial and
rational functions
8 (d) use the factor theorem and the remainder
theorem;
(e) solve polynomial and rational equations and
inequalities;
(f) solve equations and inequalities involving
modulus signs in simple cases;
(g) decompose a rational expression into partial
fractions in cases where the denominator has
two distinct linear factors, or a linear factor
and a prime quadratic factor;
1.3 Exponential and
logarithmic functions
6 (h) relate exponential and logarithmic functions,
algebraically and graphically;
(i) use the properties of exponents and logarithms;
(j) solve equations and inequalities involving
exponential or logarithmic expressions;
1.4 Trigonometric
functions
8 (k) relate the periodicity and symmetries of the
sine, cosine and tangent functions to their
graphs, and identify the inverse sine, inverse
cosine and inverse tangent functions and their
graphs;
(l) use basic trigonometric identities and the
formulae for sin (A ± B), cos (A ± B) and
tan (A ± B), including sin 2A, cos 2A and
tan 2A;
(m) express a sin  + b cos  in the forms
r sin ( ± α) and r cos ( ± α);
(n) find the solutions, within specified intervals,
of trigonometric equations and inequalities.

3
Topic
Teaching
Period
Learning Outcome
2 Sequences and Series 18 Candidates should be able to:
2.1 Sequences 4 (a) use an explicit formula and a recursive formula
for a sequence;
(b) find the limit of a convergent sequence;
2.2 Series 8 (c) use the formulae for the nth term and for the
sum of the first n terms of an arithmetic series
and of a geometric series;
(d) identify the condition for the convergence of a
geometric series, and use the formula for the
sum of a convergent geometric series;
(e) use the method of differences to find the nth
partial sum of a series, and deduce the sum of
the series in the case when it is convergent;
2.3 Binomial expansions 6 (f) expand (a + b)n
, where n ;

(g) expand (1 + x)n
, where n , and identify the
condition  x  < 1 for the validity of this
expansion;
(h) use binomial expansions in approximations.
3 Matrices 16 Candidates should be able to:
3.1 Matrices 10 (a) identify null, identity, diagonal, triangular and
symmetric matrices;
(b) use the conditions for the equality of two
matrices;
(c) perform scalar multiplication, addition,
subtraction and multiplication of matrices with
at most three rows and three columns;
(d) use the properties of matrix operations;
(e) find the inverse of a non-singular matrix using
elementary row operations;
(f) evaluate the determinant of a matrix;
(g) use the properties of determinants;

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Topic
Teaching
Period
Learning Outcome
3.2 Systems of linear
equations
6 (h) reduce an augmented matrix to row-echelon
form, and determine whether a system of linear
equations has a unique solution, infinitely
many solutions or no solution;
(i) apply the Gaussian elimination to solve a
system of linear equations;
(j) find the unique solution of a system of linear
equations using the inverse of a matrix.
4 Complex Numbers 12 Candidates should be able to:
(a) identify the real and imaginary parts of a
complex number;
(b) use the conditions for the equality of two
complex numbers;
(c) find the modulus and argument of a complex
number in cartesian form and express the
complex number in polar form;
(d) represent a complex number geometrically by
means of an Argand diagram;
(e) find the complex roots of a polynomial
equation with real coefficients;
(f) perform elementary operations on two
complex numbers expressed in cartesian form;
(g) perform multiplication and division of two
complex numbers expressed in polar form;
(h) use de Moivre’s theorem to find the powers
and roots of a complex number.
5 Analytic Geometry 14 Candidates should be able to:
(a) transform a given equation of a conic into the
standard form;
(b) find the vertex, focus and directrix of a
parabola;
(c) find the vertices, centre and foci of an ellipse;
(d) find the vertices, centre, foci and asymptotes
of a hyperbola;
(e) find the equations of parabolas, ellipses and
hyperbolas satisfying prescribed conditions
(excluding eccentricity);

5
Topic
Teaching
Period
Learning Outcome
(f) sketch conics;
(g) find the cartesian equation of a conic defined
by parametric equations;
(h) use the parametric equations of conics.
6 Vectors 20 Candidates should be able to:
6.1 Vectors in two and
three dimensions
8 (a) use unit vectors and position vectors;
(b) perform scalar multiplication, addition and
subtraction of vectors;
(c) find the scalar product of two vectors, and
determine the angle between two vectors;
(d) find the vector product of two vectors, and
determine the area a parallelogram and of a
triangle;
6.2 Vector geometry 12 (e) find and use the vector and cartesian equations
of lines;
(f) find and use the vector and cartesian equations
of planes;
(g) calculate the angle between two lines, between
a line and a plane, and between two planes;
(h) find the point of intersection of two lines, and
of a line and a plane;
(i) find the line of intersection of two planes.

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SECOND TERM: CALCULUS
Topic
Teaching
Period
Learning Outcome
7 Limits and Continuity 12 Candidates should be able to:
7.1 Limits 6 (a) determine the existence and values of the left-
hand limit, right-hand limit and limit of a
function;
(b) use the properties of limits;
7.2 Continuity 6 (c) determine the continuity of a function at a
point and on an interval;
(d) use the intermediate value theorem.
8 Differentiation 28 Candidates should be able to:
8.1 Derivatives 12 (a) identify the derivative of a function as a limit;
(b) find the derivatives of xn
(n  ), ex
, ln x,
sin x, cos x, tan x, sin1
x, cos1
x, tan1
x, with
constant multiples, sums, differences,
products, quotients and composites;
(c) perform implicit differentiation;
(d) find the first derivatives of functions defined
parametrically;
8.2 Applications of
differentiation
16 (e) determine where a function is increasing,
decreasing, concave upward and concave
downward;
(f) determine the stationary points, extremum
points and points of inflexion;
(g) sketch the graphs of functions, including
asymptotes parallel to the coordinate axes;
(h) find the equations of tangents and normals to
curves, including parametric curves;
(i) solve problems concerning rates of change,
including related rates;
(j) solve optimisation problems.
9 Integration 28 Candidates should be able to:
9.1 Indefinite integrals 14 (a) identify integration as the reverse of
differentiation;
(b) integrate xn
(n  ), ex
, sin x, cos x, sec2
x, with
constant multiples, sums and differences;

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Topic
Teaching
Period
Learning Outcome
(c) integrate rational functions by means of
decomposition into partial fractions;
(d) use trigonometric identities to facilitate the
integration of trigonometric functions;
(e) use algebraic and trigonometric substitutions
to find integrals;
(f) perform integration by parts;
9.2 Definite integrals 14 (g) identify a definite integral as the area under a
curve;
(h) use the properties of definite integrals;
(i) evaluate definite integrals;
(j) calculate the area of a region bounded by a
curve (including a parametric curve) and lines
parallel to the coordinate axes, or between two
curves;
(k) calculate volumes of solids of revolution about
one of the coordinate axes.
10 Differential Equations 14 Candidates should be able to:
(a) find the general solution of a first order
differential equation with separable variables;
(b) find the general solution of a first order linear
differential equation by means of an integrating
factor;
(c) transform, by a given substitution, a first order
differential equation into one with separable
variables or one which is linear;
(d) use a boundary condition to find a particular
solution;
(e) solve problems, related to science and
technology, that can be modelled by differential
equations.
11 Maclaurin Series 12 Candidates should be able to:
(a) find the Maclaurin series for a function and the
interval of convergence;
(b) use standard series to find the series expansions
of the sums, differences, products, quotients
and composites of functions;

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Topic
Teaching
Period
Learning Outcome
(c) perform differentiation and integration of a
power series;
(d) use series expansions to find the limit of a
function.
12 Numerical Methods 14 Candidates should be able to:
12.1 Numerical solution of
equations
10 (a) locate a root of an equation approximately by
means of graphical considerations and by
searching for a sign change;
(b) use an iterative formula of the form
1 f( )n nx x  to find a root of an equation to a
prescribed degree of accuracy;
(c) identify an iteration which converges or
diverges;
(d) use the Newton-Raphson method;
12.2 Numerical integration 4 (e) use the trapezium rule;
(f) use sketch graphs to determine whether the
trapezium rule gives an over-estimate or an
under-estimate in simple cases.

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THIRD TERM: STATISTICS
Topic
Teaching
Period
Learning Outcome
13 Data Description 14 Candidates should be able to:
(a) identify discrete, continuous, ungrouped and
grouped data;
(b) construct and interpret stem-and-leaf diagrams,
box-and-whisker plots, histograms and
cumulative frequency curves;
(c) state the mode and range of ungrouped data;
(d) determine the median and interquartile range
of ungrouped and grouped data;
(e) calculate the mean and standard deviation of
ungrouped and grouped data, from raw data
and from given totals such as
1
( )
n
i
i
x a

 and
1
2
( )
n
i
i
x a

 ;
(f) select and use the appropriate measures of
central tendency and measures of dispersion;
(g) calculate the Pearson coefficient of skewness;
(h) describe the shape of a data distribution.
14 Probability 14 Candidates should be able to:
(a) apply the addition principle and the
multiplication principle;
(b) use the formulae for combinations and
permutations in simple cases;
(c) identify a sample space, and calculate the
probability of an event;
(d) identify complementary, exhaustive and
mutually exclusive events;
(e) use the formula
P(A  B) = P(A) + P(B)  P(A  B);
(f) calculate conditional probabilities, and identify
independent events;
(g) use the formulae
P(A  B) = P(A)  P(B| A) = P(B)  P(A |B);
(h) use the rule of total probability.

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Topic
Teaching
Period
Learning Outcome
15 Probability Distributions 26 Candidates should be able to:
15.1 Discrete random
variables
6 (a) identify discrete random variables;
(b) construct a probability distribution table for a
discrete random variable;
(c) use the probability function and cumulative
distribution function of a discrete random
variable;
(d) calculate the mean and variance of a discrete
random variable;
15.2 Continuous random
variables
6 (e) identify continuous random variables;
(f) relate the probability density function and
cumulative distribution function of a
continuous random variable;
(g) use the probability density function and
cumulative distribution function of a
(h) calculate the mean and variance of a
15.3 Binomial distribution 4 (i) use the probability function of a binomial
distribution, and find its mean and variance;
(j) use the binomial distribution as a model for
solving problems related to science and
technology;
15.4 Poisson distribution 4 (k) use the probability function of a Poisson
distribution, and identify its mean and
variance;
(l) use the Poisson distribution as a model for
technology;
15.5 Normal distribution 6 (m) identify the general features of a normal
distribution, in relation to its mean and
standard deviation;
(n) standardise a normal random variable and use
the normal distribution tables;
(o) use the normal distribution as a model for
technology;
(p) use the normal distribution, with continuity
correction, as an approximation to the
binomial distribution, where appropriate.

11
Topic
Teaching
Period
Learning Outcome
16 Sampling and Estimation 26 Candidates should be able to:
16.1 Sampling 14 (a) distinguish between a population and a sample,
and between a parameter and a statistic;
(b) identify a random sample;
(c) identify the sampling distribution of a statistic;
(d) determine the mean and standard deviation of
the sample mean;
(e) use the result that X has a normal distribution if
X has a normal distribution;
(f) use the central limit theorem;
(g) determine the mean and standard deviation of
the sample proportion;
(h) use the approximate normality of the sample
proportion for a sufficiently large sample size;
16.2 Estimation 12 (i) calculate unbiased estimates for the population
mean and population variance;
(j) calculate an unbiased estimate for the
population proportion;
(k) determine and interpret a confidence interval
for the population mean based on a sample
from a normally distributed population with
known variance;
(l) determine and interpret a confidence interval
for the population mean based on a large
sample;
(m) find the sample size for the estimation of
population mean;
(n) determine and interpret a confidence interval
for the population proportion based on a large
sample;
(o) find the sample size for the estimation of
population proportion.

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Topic
Teaching
Period
Learning Outcome
17 Hypothesis Testing 14 Candidates should be able to:
(a) explain the meaning of a null hypothesis and
an alternative hypothesis;
(b) explain the meaning of the significance level
of a test;
(c) carry out a hypothesis test concerning the
population mean for a normally distributed
population with known variance;
(d) carry out a hypothesis test concerning the
population mean in the case where a large
sample is used;
(e) carry out a hypothesis test concerning the
population proportion by direct evaluation of
binomial probabilities;
(f) carry out a hypothesis test concerning the
population proportion using a normal
approximation.
18 Chi-squared Tests 14 Candidates should be able to:
(a) identify the shape, as well as the mean and
variance, of a chi-squared distribution with a
given number of degrees of freedom;
(b) use the chi-squared distribution tables;
(c) identify the chi-squared statistic;
(d) use the result that classes with small expected
frequencies should be combined in a chi-
squared test;
(e) carry out goodness-of-fit tests to fit prescribed
probabilities and probability distributions with
known parameters;
(f) carry out tests of independence in contingency
tables (excluding Yates correction).

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Coursework
The Mathematics (T) coursework is intended to enable candidates to carry out mathematical
investigation and mathematical modelling, so as to enhance the understanding of mathematical
processes and applications and to develop soft skills.
The coursework comprises three assignments set down by the Malaysian Examinations Council.
The assignments are based on three different areas of the syllabus and represent two types of tasks:
mathematical investigation and mathematical modelling.
A school candidate is required to carry out one assignment in each term under the supervision of
the subject teacher as specified in the Teacher’s Manual for Mathematics (T) Coursework which can
be downloaded from MEC’s Portal (http://www.mpm.edu.my) by the subject teacher during the first
term of form six. The assignment reports are graded by the subject teacher in the respective terms. A
viva session is conducted by the teacher in each term after the assessment of the assignment reports.
An individual private candidate is required to carry out one assignment in each term as specified
in the Individual Private Candidate’s Manual for Mathematics (T) Coursework which can be
downloaded from MEC’s Portal (http://www.mpm.edu.my) by the candidate during the first term of
form six. The assignment reports are graded by an external examiner in the respective terms. A viva
session is conducted by the examiner in each term after the assessment of the assignment reports.
A repeating candidate may use the total mark obtained in the coursework for the subsequent
STPM examination. Requests to carry forward the moderated coursework mark should be made
during the registration of the examination.

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Scheme of Assessment
Term of
Study
Paper Code
and Name
Type of Test
Mark
(Weighting)
Duration Administration
First
Term
954/1
Mathematics (T)
Paper 1
Written test 60
(26.67%)
1½ hours Central assessment
Section A
Answer all 6 questions of
variable marks.
45
Section B
Answer 1 out of 2
questions.
All questions are based on
topics 1 to 6.
15
Second
Term
954/2
Mathematics (T)
Paper 2
Written test 60
(26.67%)
Section A
variable marks.
45
Section B
Answer 1 out of 2
questions.
topics 7 to 12.
15
Third
Term
954/3
Mathematics (T)
Paper 3
Written test 60
(26.67%)
Section A
variable marks.
45
Section B
Answer 1 out of 2
questions.
topics 13 to 18.
15
First,
Second
and
Third
Terms
954/4
Mathematics (T)
Paper 4
Coursework
3 assignments, each based
on topics 1 to 6, topics 7 to
12 and topics 13 to 18.
180
to be
scaled to
45
(20%) Throughout
the three
terms
Assessment by
school teachers for
candidates from
government and
government-aided
schools
Assessment by
appointed assessors
for candidates from
private schools and
individual private
candidates

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Performance Descriptions
A grade A candidate is likely able to:
(a) use correctly mathematical concepts, terminology and notation;
(b) display and interpret mathematical information in tabular, diagrammatic and graphical
forms;
(c) identify mathematical patterns and structures in a variety of situations;
(d) use appropriate mathematical models in different contexts;
(e) apply correctly mathematical principles and techniques in solving problems;
(f) carry out calculations and approximations to an appropriate degree of accuracy;
(g) interpret the significance and reasonableness of results, making sensible predictions where
appropriate;
(h) present mathematical explanations, arguments and conclusions, usually in a logical and
systematic manner.
A grade C candidate is likely able to:
(a) use correctly some mathematical concepts, terminology and notation;
(b) display and interpret some mathematical information in tabular, diagrammatic and graphical
forms;
(c) identify mathematical patterns and structures in certain situations;
(d) use appropriate mathematical models in certain contexts;
(e) apply correctly some mathematical principles and techniques in solving problems;
(f) carry out some calculations and approximations to an appropriate degree of accuracy;
(g) interpret the significance and reasonableness of some results;
(h) present some mathematical explanations, arguments and conclusions.

16
Mathematical Notation
Miscellaneous symbols
= is equal to
≠ is not equal to
≡ is identical to or is congruent to
≈ is approximately equal to
< is less than
is less than or equal to
> is greater than
is greater than or equal to
∞ infinity
 therefore
Operations
a + b a plus b
a − b a minus b
a × b, ab a multiplied by b
a  b,
a
b
a divided by b
a : b ratio of a to b
an
nth power of a
1
2
,a a positive square root of a
1
, nn
a a positive nth root of a
|a| absolute value of a real number a
1
n
i
i
u

 u1 + u2 +    + un
n! n factorial for n 
n
r
 
 
 
binomial coefficient
!
!( )!
n
r n r
for n, r   , 0 r n
Set notation
 is an element of
 is not an element of
 empty set
{x | . . .} set of x such that . . .
 set of natural numbers, {0, 1, 2, 3, . . .}
 set of integers

 set of positive integers
 set of rational numbers
 set of real numbers
>
< <
<

17
[a, b] closed interval {x | x  , a x b}
(a, b) open interval {x | x  , a  x  b}
[a, b) interval {x | x  , a x  b}
(a, b] interval {x | x  , a  x b}
 union
 intersection
Functions
f a function f
f(x) value of a function f at x
f : A B f is a function under which each element of set A has an image in set B
f : x y f is a function which maps the element x to the element y
1
f 
inverse function of f
f g composite function of f and g which is defined by f g( )x = f [g(x)]
ex
exponential function of x
loga x logarithm to base a of x
ln x natural logarithm of x, loge x
sin, cos, tan,
csc, sec, cot
sin1
, cos1
, tan1
,
csc1
, sec1
, cot1
Matrices
A a matrix A
0 null matrix
I identity matrix
AT
transpose of a matrix A
A−1
inverse of a non-singular square matrix A
det A determinant of a square matrix A
Complex numbers
i square root of −1
z a complex number z
| z | modulus of z
arg z argument of z
z* complex conjugate of z
inverse trigonometric functions
trigonometric functions
< <
<
<

18
Geometry
AB length of the line segment with end points A and B
BAC angle between the line segments AB and AC
ABC triangle whose vertices are A, B and C
// is parallel to
 is perpendicular to
Vectors
a a vector a
| a | magnitude of a vector a
i, j, k unit vectors in the directions of the cartesian coordinates axes
AB

vector represented in magnitude and direction by the directed line segment
from point A to point B
| |AB

magnitude of AB

a b scalar product of vectors a and b
a × b vector product of vectors a and b
Derivatives and integrals
limf( )
x a
x

limit of f(x) as x tends to a
d
d
y
x
first derivative of y with respect to x
f '( )x first derivative of f(x) with respect to x
2
2
d
d
y
x
second derivative of y with respect to x
f ''( )x second derivative of f(x) with respect to x
d
d
n
n
y
x
nth derivative of y with respect to x
( )
f ( )n
x nth derivative of f(x) with respect to x
dy x indefinite integral of y with respect to x
d
b
a
y x definite integral of y with respect to x for values of x between a and b
Data description
x1, x2, . . . observations
f1, f2, . . . frequencies with which the observations x1, x2, . . . occur
x sample mean
2
s sample variance,  2 2
1
1 n
i
i
s x x
n 
 
 population mean
2
 population variance

19
Probability
A an event A
'A complement of an event A or the event not A
P(A) probability of an event A
P(A |B) probability of event A given event B
Probability distributions
X a random variable X
x value of a random variable X
Z standardised normal random variable
z value of the standardised normal random variable Z
f(x) value of the probability density function of a continuous random variable X
F(x) value of the cumulative distribution function of a continuous random
variable X
E(X) expectation of a random variable X
Var(X) variance of a random variable X
B(n, p) binomial distribution with parameters n and p
Po() Poisson distribution with parameter 
N(, 2
 ) normal distribution with mean  and variance 2

2
 chi-squared distribution with  degrees of freedom
Sampling and estimation
ˆ unbiased estimate of the population mean
2
ˆ unbiased estimate of the population variance
p population proportion
ˆp sample proportion

20
Electronic Calculators
During the written paper examination, candidates are advised to have standard scientific calculators
which must be silent. Programmable and graphic display calculators are prohibited.
Reference Books
Teachers and candidates may use books specially written for the STPM examination and other
reference books such as those listed below.
Algebra and Geometry
1. Harcet, J., Heinrichs, L., Seiler, P.M. and Skoumal, M.T., 2012. Mathematics: Higher
Level, IB Diploma Programme. United Kingdom: Oxford University Press.
2. Neill, H. and Quadling, D., 2002. Advanced Level Mathermatics: Pure Mathematics 1 and
2 & 3. United Kingdom: Cambridge University Press.
3. Beecher, J.A., Penna, J.A. and Bittinger, M.L., 2012. Algebra and Trigonometry.
4th edition. Singapore: Pearson Addison-Wesley.
4. Blitzer, R., 2010. Algebra and Trigonometry: An Early Functions Approach. 2nd edition.
Singapore: Pearson Prentice Hall.
Calculus
5. Harcet, J., Heinrichs, L., Seiler, P.M. and Skoumal, M.T., 2012. Mathematics: Higher
Level, IB Diploma Programme. United Kingdom: Oxford University Press.
6. Neill, H. and Quadling, D., 2002. Advanced Level Mathermatics: Pure Mathematics 1 and
2 & 3. United Kingdom: Cambridge University Press.
7. Stewart, J., 2012. Single Variable Calculus: Early Transcendentals. 7th edition, Metric
Version. Singapore: Brooks/Cole, Cengage Learning.
8. Tan, S.T., 2011. Single Variable Calculus: Early Transcendentals. Singapore: Brooks/Cole,
Cengage Learning.
Statistics
9. Crawshaw, J. and Chambers, J., 2001. A Concise Course in Advanced Level Statistics.
4th edition. United Kingdom: Nelson Thornes.
10. Upton, G. and Cook, I., 2001. Introducing Statistics. 2nd edition. United Kingdom: Oxford
University Press.
11. Johnson, R.A. and Bhattacharyya, G.K., 2010. Statistics: Principles and Methods.
6th edition. Singapore: John Wiley.
12. Mann, P. S., 2010. Introductory Statistics. 7th edition. Singapore: JohnWiley.

21
SPECIMEN PAPER
954/1 STPM
MATHEMATICS (T) (MATEMATIK (T))
PAPER 1 (KERTAS 1)
One and a half hours (Satu jam setengah)
(MALAYSIA HIGHER SCHOOL CERTIFICATE)
Instruction to candidates:
DO NOT OPEN THIS QUESTION PAPER UNTIL YOU ARE TOLD TO DO SO.
Answer all questions in Section A and any one question in Section B. Answers may be written in
either English or Bahasa Malaysia.
All necessary working should be shown clearly.
Scientific calculators may be used. Programmable and graphic display calculators are
prohibited.
A list of mathematical formulae is provided on page of this question paper.
Arahan kepada calon:
JANGAN BUKA KERTAS SOALAN INI SEHINGGA DIBERITAHU UNTUK BERBUAT
DEMIKIAN.
Jawab semua soalan dalam Bahagian A dan mana-mana satu soalan dalam Bahagian B.
Jawapan boleh ditulis dalam bahasa Inggeris atau Bahasa Malaysia.
Semua kerja yang perlu hendaklah ditunjukkan dengan jelas.
Kalkulator sainstifik boleh digunakan. Kalkulator boleh atur cara dan kalkulator paparan grafik
tidak dibenarkan.
Senarai rumus matematik dibekalkan pada halaman dalam kertas soalan ini.
__________________________________________________________________________________
This question paper consists of printed pages and blank page.
(Kertas soalan ini terdiri daripada halaman bercetak dan halaman kosong.)
© Majlis Peperiksaan Malaysia
STPM 954/1

22
Section A [45 marks]
Answer all questions in this section.
1 The functions f and g are defined by
2
2
f : e , ;
g : (ln ) , 0.
x
x x
x x x


 

(a) Find f1
and state its domain. [3 marks]
(b) Show that  1
2
g = g(2), and state, with a reason, whether g has an inverse. [4 marks]
2 A sequence is defined by ur = e–(r – 1)
– e–r
for all integers r 1. Find
1
,
n
r
r
u

 in terms of n, and
deduce the value of
1
.r
r
u


 [5 marks]
3 The matrices P =
2 2 0
0 0 2
a b c
 
 
 
 
 
and Q =
1 1 0
0 0 1
0 2 2
 
 
 
  
are such that PQ = QP.
(a) Determine the values of a, b and c. [5 marks]
(b) Find the real numbers m and n for which P = mQ + nI, where I is the 3  3 identity matrix.
[5 marks]
4 Express the complex number z = 1 3i in polar form. [4 marks]
Hence, find 5
5 1
z
z  and 5
5
1
.z
z
 [4 marks]
5 The equation of a hyperbola is 4x2
– 9y2
– 24x –18y – 9 = 0.
(a) Obtain the standard form for the equation of the hyperbola. [3 marks]
(b) Find the vertices and the equations of the asymptotes of the hyperbola. [6 marks]
6 Find the equation of the plane which contains the straight line
2
1
3
4
3




zy
x and is
perpendicular to the plane 3x + 2y  z = 3. [6 marks]
954/1
>

23
Bahagian A [45 markah]
Jawab semua soalan dalam bahagian ini.
1 Fungsi f dan g ditakrifkan oleh
2
2
f : e , ;
g : (ln ) , 0.
x
x x
x x x


 

(a) Cari f1
dan nyatakan domainnya. [3 markah]
(b) Tunjukkan bahawa  1
2
g = g(2), dan nyatakan, dengan satu sebab, sama ada g mempunyai
songsangan. [4 markah]
2 Satu jujukan ditakrifkan oleh ur = e–(r – 1)
– e–r
bagi semua integer r 1. Cari
1
,
n
r
r
u

 dalam sebutan
n, dan deduksikan nilai
1
.r
r
u


 [5 markah]
3 Matriks P =
2 2 0
0 0 2
a b c
 
 
 
 
 
dan Q =
1 1 0
0 0 1
0 2 2
 
 
 
  
adalah sebegitu rupa sehinggakan PQ = QP.
(a) Tentukan nilai a, b, dan c. [5 markah]
(b) Cari nombor nyata m dan n supaya P = mQ + nI, dengan I matriks identiti 3  3. [5 markah]
4 Ungkapkan nombor kompleks z = 1 3i dalam bentuk kutub. [4 markah]
Dengan yang demikian, cari 5
5 1
z
z  dan 5
5
1
.z
z
 [4 markah]
5 Persamaan satu hiperbola ialah 4x2
– 9y2
– 24x –18y – 9 = 0.
(a) Dapatkan bentuk piawai bagi persamaan hiperbola itu. [3 markah]
(b) Cari bucu dan persamaan asimptot hiperbola itu. [6 markah]
6 Cari persamaan satah yang mengandung garis lurus
2
1
3
4
3




zy
x dan serenjang dengan
satah 3x + 2y  z = 3. [6 markah]
954/1
>

24
Section B [15 marks]
Answer any one question in this section.
7 Express cos x + sin x in the form r cos (x  ), where r > 0 and 0 <  < 1
2
. Hence, find the
minimum and maximum values of cos x + sin x and the corresponding values of x in the interval
0 x 2. [7 marks]
(a) Sketch the graph of y = cos x + sin x for 0 x 2. [3 marks]
(b) By drawing appropriate lines on your graph, determine the number of roots in the interval
0 x 2 of each of the following equations.
(i) cos x + sin x = 1
2
 [1 mark]
(ii) cos x + sin x = 2 [1 mark]
(c) Find the set of values of x in the interval 0 x 2 for which cos sin 1.x x  [3 marks]
8 The position vectors a, b and c of three points A, B and C respectively are given by
a = i + j + k,
b = i + 2j + 3k,
c = i – 3j +2k.
(a) Find a unit vector parallel to a + b + c. [3 marks]
(b) Calculate the acute angle between a and a + b + c. [3 marks]
(c) Find the vector of the form i + j + k perpendicular to both a and b. [2 marks]
(d) Determine the position vector of the point D which is such that ABCD is a parallelogram
having BD as a diagonal. [3 marks]
(e) Calculate the area of the parallelogram ABCD. [4 marks]
954/1
< <
< <
< <
< <

25
Bahagian B [15 markah]
Jawab mana-mana satu soalan dalam bahagian ini.
7 Ungkapkan kos x + sin x dalam bentuk r kos (x  ), dengan r > 0 dan 0 <  < 1
2
. Dengan yang
demikian, cari nilai minimum dan nilai maksimum kos x + sin x dan nilai x yang sepadan dalam
selang 0 x 2. [7 markah]
(a) Lakar graf y = kos x + sin x bagi 0 x 2. [3 markah]
(b) Dengan melukis garis yang sesuai pada graf anda, tentukan bilangan punca dalam selang
0 x 2 setiap persamaan yang berikut.
(i) kos x + sin x = 1
2
 [1 markah]
(ii) kos x + sin x = 2 [1 markah]
(c) Cari set nilai x dalam selang 0 x 2 supaya kos sin 1.x x  [3 markah]
8 Vektor kedudukan a, b, dan c tiga titik A, B, dan C masing-masing diberikan oleh
a = i + j + k,
b = i + 2j + 3k,
c = i – 3j +2k.
(a) Cari vektor unit yang selari dengan a + b + c. [3 markah]
(b) Hitung sudut tirus di antara a dengan a + b + c. [3 markah]
(c) Cari vektor dalam bentuk i + j + k yang serenjang dengan kedua-dua a dan b. [2 markah]
(d) Tentukan vektor kedudukan titik D yang sebegitu rupa sehinggakan ABCD ialah satu
segiempat selari dengan BD sebagai satu pepenjuru. [3 markah]
(e) Hitung luas segiempat selari ABCD. [4 markah]
954/1
< <
< <
< <
< <

26
MATHEMATICAL FORMULAE (RUMUS MATEMATIK)
Binomial expansions (Kembangan binomial)
(a + b)n
= 1 2 2
,
1 2
n n n n r r n
n n n
a a b a b a b b
r
  
           
     
     
     
n 

(1 + x)n
= 1 + nx + 2( 1) ( 1). . .( 1)
,
2! !
rn n n n n r
x x
r
   
         n  , |x| < 1
Conics (Keratan kon)
Parabola with vertex ( h, k ), focus ( a + h , k ) and directrix x = a + h
(Parabola dengan bucu ( h, k ), fokus ( a + h , k ) dan direktriks x = a + h)
( y – k )2
= 4a ( x – h )
Ellipse with centre ( h, k ) and foci ( c + h, k ), ( c + h, k ), where c2
= a2
 b2
(Elips dengan pusat ( h, k ) dan fokus ( c + h, k ), ( c + h, k ), dengan c2
= a2
 b2
)
2 2
2 2
( ) ( )
1
x h y k
a b
 
 
Hyperbola with centre ( h, k ) and foci ( c + h, k ), ( c + h, k ), where c2
= a2
+ b2
(Hiperbola dengan pusat ( h, k ) dan fokus ( c + h, k ), ( c + h, k ), dengan c2
= a2
+ b2
)
2 2
2 2
( ) ( )
1
x h y k
a b
 
 
954/1

27
SPECIMEN PAPER
954/2 STPM
PAPER 2 (KERTAS 2)
prohibited.
A list of mathematical formulae is provided on page of this question paper.
DEMIKIAN.
tidak dibenarkan.
Senarai rumus matematik dibekalkan pada halaman dalam kertas soalan ini.
__________________________________________________________________________________
STPM 954/2

28
1 The function f is defined by
1, 1;
f( )
| | 1, otherwise.
x x
x
x
  
 

(a) Find
1
lim f( ).
x
x

[3 marks]
(b) Determine whether f is continuous at x = 1. [2 marks]
2 Find the equation of the normal to the curve with parametric equations 1 2x t  and y = 2 +
2
t
at the point (3, –4). [6 marks]
3 Using the substitution 2
4sin ,x u evaluate
1
0
d .
4
x
x
x [6 marks]
4 Show that
22
( 1)d
e .
1
x
x x x x
x




 [4 marks]
Hence, find the particular solution of the differential equation
2
d 2 1
d ( 1) ( 1)
y x
y
x x x x x

  
 
which satisfies the boundary condition y =
3
4
when x = 2. [4 marks]
5 If y  sin1
x, show that
3
2
2
d
d
d
d







x
y
x
x
y
and
3 53
2
3
d d d
3
d dd
y y y
x
x xx
   
    
   
. [5 marks]
Using Maclaurin’s theorem, express sin1
x as a series of ascending powers of x up to the term in
x5
. State the range of values of x for which the expansion is valid. [7 marks]
6 Use the trapezium rule with subdivisions at x = 3 and x = 5 to obtain an approximation to
7 3
4
1
d ,
1
x
x
x giving your answer correct to three places of decimals. [4 marks]
By evaluating the integral exactly, show that the error of the approximation is about 4.1%.
[4 marks]
954/2
>

29
1 Fungsi f ditakrifkan oleh
1, 1;
f( )
| | 1, jika tidak.
x x
x
x
  
 

(a) Cari
1
had f( ).
x
x

[3 markah]
(b) Tentukan sama ada f adalah selanjar di x = 1. [2 markah]
2 Cari persamaan normal kepada lengkung dengan persamaan berparameter 1 2x t  dan
y = 2 +
2
t
di titik (3, –4). [6 markah]
3 Dengan menggunakan gantian 2
4sin ,x u nilaikan
1
0
d .
4
x
x
x [6 markah]
4 Tunjukkan bahawa
22
( 1)d
e .
1
x
x x x x
x




 [4 markah]
Dengan yang demikian, cari selesaian khusus persamaan pembezaan
2
d 2 1
d ( 1) ( 1)
y x
y
x x x x x

  
 
yang memenuhi syarat sempadan y =
3
4
apabila x = 2. [4 markah]
5 Jika y  sin1
x, tunjukkan bahawa
3
2
2
d
d
d
d







x
y
x
x
y
dan
3 53
2
3
d d d
3
d dd
y y y
x
x xx
   
    
   
. [5 markah]
Dengan menggunakan teorem Maclaurin, ungkapkan sin1
x sebagai satu siri kuasa x menaik
hingga sebutan dalam x5
. Nyatakan julat nilai x supaya kembangan itu sah. [7 markah]
6 Gunakan petua trapezium dengan subbahagian di x = 3 dan x = 5 untuk memperoleh
penghampiran
7 3
4
1
d ,
1
x
x
x dengan memberikan jawapan anda betul hingga tiga tempat perpuluhan.
[4 markah]
Dengan menilai kamiran itu secara tepat, tunjukkan bahawa ralat penghampiran adalah lebih
kurang 4.1%. [4 markah]
954/2
>

30
7 A right circular cone of height a + x, where –a x a, is inscribed in a sphere of constant radius
a, such that the vertex and all points on the circumference of the base lie on the surface of the sphere.
(a) Show that the volume V of the cone is given by .))(( 2
3
1
xaxaV   [3 marks]
(b) Determine the value of x for which V is maximum and find the maximum value of V.
[6 marks]
(c) Sketch the graph of V against x. [2 marks]
(d) Determine the rate at which V changes when 1
2
x a if x is increasing at a rate of 1
10
a per
minute. [4 marks]
8 Two iterations suggested to estimate a root of the equation 064 23
 xx are
21
6
4
n
n
x
x  and .)6( 2
1
3
2
1
1  nn xx
(a) Show that the equation 064 23
 xx has a root between 3 and 4. [3 marks]
(b) Using sketched graphs of y = x and y = f(x) on the same axes, show that, with initial
approximation x0 = 3, one of the iterations converges to the root whereas the other does not. [6 marks]
(c) Use the iteration which converges to the root to obtain a sequence of iterations with x0 = 3,
ending the process when the difference of two consecutive iterations is less than 0.05. [4 marks]
(d) Determine whether the iteration used still converges to the root if the initial approximation is
x0 = 4. [2 marks]
954/2
<<

31
7 Satu kon bulat tegak dengan tinggi a + x, dengan –a x a, terterap di dalam satu sfera berjejari
malar a, sebegitu rupa sehinggakan bucu dan semua titik pada lilitan tapak terletak pada permukaan
sfera itu.
(a) Tunjukkan bahawa isi padu V kon itu diberikan oleh .))(( 2
3
1
xaxaV   [3 markah]
(b) Tentukan nilai x supaya V maksimum dan cari nilai maksimum V. [6 markah]
(c) Lakar graf V lawan x. [2 markah]
(d) Tentukan kadar V berubah apabila 1
2
x a jika x menokok pada kadar 1
10
a per minit.
[4 markah]
8 Dua lelaran yang dicadangkan untuk menganggar satu punca persamaan 064 23
 xx ialah
21
6
4
n
n
x
x  dan .)6( 2
1
3
2
1
1  nn xx
(a) Tunjukkan bahawa persamaan 064 23
 xx mempunyai satu punca antara 3 dengan 4.
[3 markah]
(b) Dengan menggunakan lakaran graf y = x dan y = f(x) pada paksi yang sama, tunjukkan
bahawa, dengan penghampiran awal x0 = 3, salah satu lelaran menumpu kepada punca itu sedangkan
yang lain tidak. [6 markah]
(c) Gunakan lelaran yang menumpu kepada punca itu untuk memperoleh satu jujukan lelaran
dengan x0 = 3, dengan menamatkan proses apabila beza dua lelaran yang berturut-turut kurang
daripada 0.05. [4 markah]
(d) Tentukan sama ada lelaran yang digunakan masih menumpu kepada punca itu jika
penghampiran awal ialah x0 = 4. [2 markah]
954/2
<<

32
Differentiation (Pembezaan)
d
dx
(sin1
x) =
2
1
1 x
d
dx
(cos1
x) = 
2
1
1 x
d
dx
(tan1
x) = 2
1
1+ x
Integration (Pengamiran)
f ( )
d
f( )
x
x
x

 = ln |f(x) + c
d d
d d
d d
v u
u x uv v x
x x
  
Maclaurin series (Siri Maclaurin)
2
e 1
2! !
r
x x x
x
r
          
 
2 3
1
ln(1 ) 1
2 3
r
rx x x
x x
r

            , 1  x 1
 
3 5 2 1
sin 1
3! 5! (2 1)!
r
rx x x
x x
r

         

 
2 4 2
cos 1 1
2! 4! (2 )!
r
rx x x
x
r
         
Numerical methods (Kaedah berangka)
Newton-Raphson method (Kaedah Newton-Raphson)
1nx  = xn –
f( )
f ( )
n
n
x
x
, n = 0, 1, 2, 3, . . .
Trapezium rule (Petua trapezium)
0 1 2 1
1
d [ 2( )
2
],
b
n na
y x h y y y y y
       
b a
h
n


954/2
<

33
SPECIMEN PAPER
954/3 STPM
PAPER 3 (KERTAS 3)
prohibited.
A list of mathematical formulae, statistical tables and a graph paper are provided on pages to
of this question paper.
DEMIKIAN.
tidak dibenarkan.
Senarai rumus matematik, sifir statistik, dan satu kertas graf dibekalkan pada halaman hingga
dalam kertas soalan ini.
__________________________________________________________________________________
STPM 954/3

34
1 The number of ships anchored at a port is recorded every week. The results for 26 particular
weeks are as follows:
32 28 43 21 35 19 25 45 35 32 18 26 30
26 27 38 42 18 37 50 46 23 40 20 29 46
(a) Display the data in a stem-and-leaf diagram. [2 marks]
(b) Find the median and interquartile range. [4 marks]
(c) Draw a box-and-whisker plot to represent the data. [3 marks]
(d) State the shape of the frequency distribution, giving a reason for your answer. [2 marks]
2 The events A and B are such that P(A)  0 and P(B)  0.
(a) Show that P( '| ) 1 P( | ).A B A B  [2 marks]
(b) Show that P( '| ) P( ')A B A if A and B are independent. [3 marks]
3 The number of defective electrical components per 1000 components manufactured on a machine
may be modelled by a Poisson distribution with a mean of 4.
(a) Calculate the probability that there are at most 3 defective electrical components in the next
100 components manufactured on the machine. [3 marks]
(b) State the assumptions that need to be made about the defective electrical components in order
that the Poisson distribution is a suitable model. [2 marks]
4 The masses of bags of flour produced in a factory have mean 1.004 kg and standard deviation
0.006 kg.
(a) Find the probability that a randomly selected bag has a mass of at least 1 kg. State any
assumptions made. [4 marks]
(b) Find the probability that the mean mass of 50 randomly selected bags is at least 1 kg.
[4 marks]
5 The proportion of fans of a certain football club who are able to explain the offside rule correctly
is p. A random sample of 9 fans of the football club is selected and 6 fans are able to explain the
offside rule correctly. Test the null hypothesis H0: p = 0.8 against the alternative hypothesis
H1: p < 0.8 at the 10% significance level. [6 marks]
954/3

35
1 Bilangan kapal yang berlabuh di pelabuhan direkodkan setiap minggu. Keputusan selama
26 minggu adalah seperti yang berikut:
32 28 43 21 35 19 25 45 35 32 18 26 30
26 27 38 42 18 37 50 46 23 40 20 29 46
(a) Paparkan data itu dalam satu gambar rajah tangkai dan daun. [2 markah]
(b) Cari median dan julat antara kuartil. [4 markah]
(c) Lukis satu plot kotak dan misai untuk mewakilkan data itu. [3 markah]
(d) Nyatakan bentuk taburan kekerapan, dengan memberikan satu sebab bagi jawapan anda.
[2 markah]
2 Peristiwa A dan B adalah sebegitu rupa sehinggakan P(A)  0 dan P(B)  0.
(a) Tunjukkan bahawa P( '| ) 1 P( | ).A B A B  [2 markah]
(b) Tunjukkan bahawa P( '| ) P( ')A B A jika A dan B adalah tak bersandar. [3 markah]
3 Bilangan komponen elektrik yang cacat per 1000 komponen yang dikeluarkan pada satu mesin
boleh dimodelkan oleh satu taburan Poisson dengan min 4.
(a) Hitung kebarangkalian bahawa terdapat selebih-lebihnya 3 komponen elektrik yang cacat
dalam 100 komponen yang berikutnya yang dikeluarkan pada mesin itu. [3 markah]
(b) Nyatakan anggapan yang perlu dibuat tentang komponen elektrik yang cacat itu supaya
taburan Poisson ialah model yang sesuai. [2 markah]
4 Jisim beg tepung yang dihasilkan di sebuah kilang mempunyai min 1.004 kg dan sisihan piawai
0.006 kg.
(a) Cari kebarangkalian bahawa sebuah beg yang dipilih secara rawak mempunyai jisim
sekurang-kurangnya 1 kg. Nyatakan sebarang andaian yang dibuat. [4 markah]
(b) Cari kebarangkalian bahawa min jisim 50 beg yang dipilih secara rawak sekurang-kurangnya
1 kg. [4 markah]
5 Perkadaran peminat kelab bola sepak tertentu yang mampu menjelaskan peraturan ofsaid dengan
betul ialah p. Satu sampel rawak 9 peminat bola sepak itu dipilih dan 6 peminat mampu menjelaskan
peraturan ofsaid dengan betul. Uji hipotesis nol H0: p = 0.8 terhadap hipotesis alternatif H1: p < 0.8
pada aras keertian 10%. [6 markah]
954/3

36
6 It is thought that there is an association between the colour of a person’s eyes and the reaction of
the person’s skin to ultraviolet light. In order to investigate this, each of a random sample of 120
persons is subjected to a standard dose of ultraviolet light. The degree of the reaction for each person
is noted, “” indicating no reaction, “+” indicating a slight reaction and “++” indicating a strong
reaction. The results are shown in the table below.
Eye colour
Reaction
Blue
Grey or
green
Brown

+
++
7
29
21
8
10
9
18
16
2
Test whether the data provide evidence, at the 5% significance level, that the colour of a person’s
eyes and the reaction of the person’s skin to ultraviolet light are independent. [10 marks]
954/3

37
6 Dipercayai bahawa terdapat perkaitan antara warna mata seseorang dengan tindak balas kulit
orang itu terhadap cahaya ultra ungu. Untuk menyiasat perkara ini, setiap orang daripada satu sampel
rawak 120 orang diberi dos piawai cahaya ultra ungu. Darjah tindak balas bagi setiap orang dicatat,
dengan “” menandakan tiada tindak balas, “+” menandakan sedikit tindak balas dan “++”
menandakan tindak balas yang kuat. Keputusan ditunjukkan di dalam jadual di bawah.
Warna mata
Tindak balas
Biru
Kelabu atau
hijau
Coklat

+
++
7
29
21
8
10
9
18
16
2
Uji sama ada data itu memberikan bukti, pada aras keertian 5%, bahawa warna mata seseorang
dan tindak balas kulit orang itu terhadap cahaya ultra ungu adalah tak bersandar. [10 markah]
954/3

38
7 A random variable T, in hours, represents the life-span of a thermal detection system. The
probability that the system fails to work at time t hour is given by
21
5500
P( ) 1 e .
t
T t

  
(a) Find the probability that the system works continuously for at least 250 hours. [3 marks]
(b) Calculate the median life-span of the system. [3 marks]
(c) Find the probability density function of the life-span of the system and sketch its graph.
[4 marks]
(d) Calculate the expected life-span of the system. [5 marks]
8 A random sample of 48 mushrooms is taken from a farm. The diameter x, in centimetres, of each
mushroom is measured. The results are summarised by 4.300
48
1
i
ix and
48
2
1
2011.01.i
i
x


(a) Calculate unbiased estimates of the population mean and variance of the diameters of the
mushrooms. [3 marks]
(b) Determine a 90% confidence interval for the mean diameter of the mushrooms. [4 marks]
(c) Test, at the 10% significance level, the null hypothesis that the mean diameter of the
mushrooms is 6.5cm. [6 marks]
(d) Relate the confidence interval obtained in (b) with the result of the test in (c). [2 marks]
954/3

39
7 Pembolehubah rawak T, dalam jam, mewakilkan jangka hayat satu sistem pengesan haba.
Kebarangkalian bahawa sistem itu gagal berfungsi pada masa t jam diberikan oleh
21
5500
P( ) 1 e .
t
T t

  
(a) Cari kebarangkalian bahawa sistem itu berfungsi secara berterusan sekurang-kurangnya
250 jam. [3 markah]
(b) Hitung median jangka hayat sistem itu. [3 markah]
(c) Cari fungsi ketumpatan kebarangkalian jangka hayat sistem itu dan lakar grafnya. [4 markah]
(d) Hitung jangkaan jangka hayat sistem itu. [5 markah]
8 Satu sampel rawak 48 cendawan diambil dari sebuah ladang. Garis pusat x, dalam sentimeter,
setiap cendawan diukur. Keputusan diiktisarkan oleh 4.300
48
1
i
ix dan
48
2
1
2011.01.i
i
x


(a) Hitung anggaran saksama min dan varians populasi garis pusat cendawan itu. [3 markah]
(b) Tentukan satu selang keyakinan 90% bagi min garis pusat cendawan itu. [4 markah]
(c) Uji, pada aras keertian 10%, hipotesis nol bahawa min garis pusat cendawan itu ialah 6.5 cm.
[6 markah]
(d) Hubungkan selang keyakinan yang diperoleh dalam (b) dengan keputusan ujian dalam (c).
[2 markah]
954/3

40
Probability distributions (Taburan kebarangkalian)
Binomial distribution (Taburan binomial)
P(X = x) = (1 )x n x
n
p p
x


 
 
 
, x = 0, 1, 2, . . . , n
Poisson distribution (Taburan Poisson)
P(X = x) =
e
,
!
x
x


x = 0, 1, 2, . . .
Chi-squared tests (Ujian khi kuasa dua)
Test statistic (Statistik ujian)
2
2
1
( )k
i i
ii
O E
E



 
954/3

41
THE NORMAL DISTRIBUTION FUNCTION (FUNGSI TABURAN NORMAL)
If Z has a normal distribution
with mean 0 and variance 1,
then for each value of z, the
tabulated value of (z) is such
that(z) = P(Z z). For
negative values of z, use
(z) = 1  (z).
Jika Z mempunyai taburan normal
dengan min 0 dan varians 1, maka
bagi setiap nilai z, nilai terjadual
(z) adalah sebegitu rupa
sehinggakan(z) = P(Z z). Bagi
nilai negatif z, gunakan
(z) = 1  (z).
z0
(z)
z 0 1 2 3 4 5 6 7 8 9
1 2 3 4 5 6 7 8 9
ADD (TAMBAH)
0.0 0.5000 0.5040 0.5080 0.5120 0.5160 0.5199 0.5239 0.5279 0.5319 0.5359 4 8 12 16 20 24 28 32 36
0.1 0.5398 0.5438 0.5478 0.5517 0.5557 0.5596 0.5636 0.5675 0.5714 0.5753 4 8 12 16 20 24 28 31 35
0.2 0.5793 0.5832 0.5871 0.5910 0.5948 0.5987 0.6026 0.6064 0.6103 0.6141 4 8 12 15 19 23 27 31 35
0.3 0.6179 0.6217 0.6255 0.6293 0.6331 0.6368 0.6406 0.6443 0.6480 0.6517 4 8 11 15 19 23 26 30 34
0.4 0.6554 0.6591 0.6628 0.6664 0.6700 0.6736 0.6772 0.6808 0.6844 0.6879 4 7 11 14 18 22 25 29 32
0.5 0.6915 0.6950 0.6985 0.7019 0.7054 0.7088 0.7123 0.7157 0.7190 0.7224 3 7 10 14 17 21 24 27 31
0.6 0.7257 0.7291 0.7324 0.7357 0.7389 0.7422 0.7454 0.7486 0.7517 0.7549 3 6 10 13 16 19 23 26 29
0.7 0.7580 0.7611 0.7642 0.7673 0.7704 0.7734 0.7764 0.7794 0.7823 0.7852 3 6 9 12 15 18 21 24 27
0.8 0.7881 0.7910 0.7939 0.7967 0.7995 0.8023 0.8051 0.8078 0.8106 0.8133 3 6 9 11 14 17 19 22 25
0.9 0.8159 0.8186 0.8212 0.8238 0.8264 0.8289 0.8315 0.8340 0.8365 0.8389 3 5 8 10 13 15 18 20 23
1.0 0.8413 0.8438 0.8461 0.8485 0.8508 0.8531 0.8554 0.8577 0.8599 0.8621 2 5 7 9 11 14 16 18 21
1.1 0.8643 0.8665 0.8686 0.8708 0.8729 0.8749 0.8770 0.8790 0.8810 0.8830 2 4 6 8 10 12 14 16 19
1.2 0.8849 0.8869 0.8888 0.8907 0.8925 0.8944 0.8962 0.8980 0.8997 0.9015 2 4 5 7 9 11 13 15 16
1.3 0.9032 0.9049 0.9066 0.9082 0.9099 0.9115 0.9131 0.9147 0.9162 0.9177 2 3 5 6 8 10 11 13 14
1.4 0.9192 0.9207 0.9222 0.9236 0.9251 0.9265 0.9279 0.9292 0.9306 0.9319 1 3 4 6 7 8 10 11 13
1.5 0.9332 0.9345 0.9357 0.9370 0.9382 0.9394 0.9406 0.9418 0.9429 0.9441 1 2 4 5 6 7 8 10 11
1.6 0.9452 0.9463 0.9474 0.9484 0.9495 0.9505 0.9515 0.9525 0.9535 0.9545 1 2 3 4 5 6 7 8 9
1.7 0.9554 0.9564 0.9573 0.9582 0.9591 0.9599 0.9608 0.9616 0.9625 0.9633 1 2 3 3 4 5 6 7 8
1.8 0.9641 0.9649 0.9656 0.9664 0.9671 0.9678 0.9686 0.9693 0.9699 0.9706 1 2 2 3 4 4 5 6 6
1.9 0.9713 0.9719 0.9726 0.9732 0.9738 0.9744 0.9750 0.9756 0.9761 0.9767 1 1 2 2 3 4 4 5 5
2.0 0.9772 0.9778 0.9783 0.9788 0.9793 0.9798 0.9803 0.9808 0.9812 0.9817 1 1 1 2 2 3 3 4 4
2.1 0.9821 0.9826 0.9830 0.9834 0.9838 0.9842 0.9846 0.9850 0.9854 0.9857 0 1 1 2 2 2 3 3 4
2.2 0.9861 0.9864 0.9868 0.9871 0.9875 0.9878 0.9881 0.9884 0.9887 0.9890 0 1 1 1 2 2 2 3 3
2.3 0.9893 0.9896 0.9898 0.9901 0.9904 0.9906 0.9909 0.9911 0.9913 0.9916 0 1 1 1 1 2 2 2 2
2.4 0.9918 0.9920 0.9922 0.9925 0.9927 0.9929 0.9931 0.9932 0.9934 0.9936 0 0 1 1 1 1 1 2 2
2.5 0.9938 0.9940 0.9941 0.9943 0.9945 0.9946 0.9948 0.9949 0.9951 0.9952 0 0 0 1 1 1 1 1 1
2.6 0.9953 0.9955 0.9956 0.9957 0.9959 0.9960 0.9961 0.9962 0.9963 0.9964 0 0 0 0 1 1 1 1 1
2.7 0.9965 0.9966 0.9967 0.9968 0.9969 0.9970 0.9971 0.9972 0.9973 0.9974 0 0 0 0 0 1 1 1 1
2.8 0.9974 0.9975 0.9976 0.9977 0.9977 0.9978 0.9979 0.9979 0.9980 0.9981 0 0 0 0 0 0 0 1 1
2.9 0.9981 0.9982 0.9982 0.9983 0.9984 0.9984 0.9985 0.9985 0.9986 0.9986 0 0 0 0 0 0 0 0 0
Critical values for the normal distribution (Nilai genting bagi taburan normal)
If Z has a normal distribution with mean 0 and
variance 1, then for each value of p, the
tabulated value of z is such that P(Z z) = p.
Jika Z mempunyai taburan normal dengan min 0 dan
varians 1, maka bagi setiap nilai p, nilai terjadual z adalah
sebegitu rupa sehinggakan P(Z z) = p.
p 0.75 0.9 0.95 0.975 0.99 0.995 0.9975 0.999 0.9995
z 0.674 1.282 1.645 1.960 2.326 2.576 2.807 3.090 3.291
954/3
<
< <
<

42
CRITICAL VALUES FOR THE 2
-DISTRIBUTION (NILAI GENTING BAGI TABURAN 2
)
If X has a 2
-distribution with 
degrees of freedom, then for each
pair of values of p and , the
tabulated value of x is such
thatP(X x) = p.
Jika X mempunyai taburan 2
dengan
 darjah kebebasan, maka bagi
setiap pasangan nilai p dan , nilai
terjadual x adalah sebegitu rupa
sehinggakan P(X x) = p.
954/3
p 0.01 0.025 0.05 0.9 0.95 0.975 0.99 0.995 0.999
ν = 1 0.0³1571 0.0³9821 0.0²3932 2.706 3.841 5.024 6.635 7.879 10.83
2 0.02010 0.05064 0.1026 4.605 5.991 7.378 9.210 10.60 13.82
3 0.1148 0.2158 0.3518 6.251 7.815 9.348 11.34 12.84 16.27
4 0.2971 0.4844 0.7107 7.779 9.488 11.14 13.28 14.86 18.47
5 0.5543 0.8312 1.145 9.236 11.07 12.83 15.09 16.75 20.51
6 0.8721 1.237 1.635 10.64 12.59 14.45 16.81 18.55 22.46
7 1.239 1.690 2.167 12.02 14.07 16.01 18.48 20.28 24.32
8 1.647 2.180 2.733 13.36 15.51 17.53 20.09 21.95 26.12
9 2.088 2.700 3.325 14.68 16.92 19.02 21.67 23.59 27.88
10 2.558 3.247 3.940 15.99 18.31 20.48 23.21 25.19 29.59
11 3.053 3.816 4.575 17.28 19.68 21.92 24.73 26.76 31.26
12 3.571 4.404 5.226 18.55 21.03 23.34 26.22 28.30 32.91
13 4.107 5.009 5.892 19.81 22.36 24.74 27.69 29.82 34.53
14 4.660 5.629 6.571 21.06 23.68 26.12 29.14 31.32 36.12
15 5.229 6.262 7.261 22.31 25.00 27.49 30.58 32.80 37.70
16 5.812 6.908 7.962 23.54 26.30 28.85 32.00 34.27 39.25
17 6.408 7.564 8.672 24.77 27.59 30.19 33.41 35.72 40.79
18 7.015 8.231 9.390 25.99 28.87 31.53 34.81 37.16 42.31
19 7.633 8.907 10.12 27.20 30.14 32.85 36.19 38.58 43.82
20 8.260 9.591 10.85 28.41 31.41 34.17 37.57 40.00 45.31
21 8.897 10.28 11.59 29.62 32.67 35.48 38.93 41.40 46.80
22 9.542 10.98 12.34 30.81 33.92 36.78 40.29 42.80 48.27
23 10.20 11.69 13.09 32.01 35.17 38.08 41.64 44.18 49.73
24 10.86 12.40 13.85 33.20 36.42 39.36 42.98 45.56 51.18
25 11.52 13.12 14.61 34.38 37.65 40.65 44.31 46.93 52.62
26 12.20 13.84 15.38 35.56 38.89 41.92 45.64 48.29 54.05
27 12.88 14.57 16.15 36.74 40.11 43.19 46.96 49.65 55.48
28 13.56 15.31 16.93 37.92 41.34 44.46 48.28 50.99 56.89
29 14.26 16.05 17.71 39.09 42.56 45.72 49.59 52.34 58.30
30 14.95 16.79 18.49 40.26 43.77 46.98 50.89 53.67 59.70
x0
p
< <

Identity card number:......................................................... Centre number /index number:..........................................
(Nombor kad pengenalan) (Nombor pusat/angka giliran)
43
954/3
Pleasetearoffalongtheperforatedline.
(Silakoyakkandisepanjanggarisputus-putusini.)

45
SPECIMEN ASSIGNMENT
954/4 STPM
PAPER 4 (KERTAS 4)
STPM 954/4

46
Parabolas have many applications in science and technology. A cable hung between two towers of a
suspension bridge is usually in the shape of a parabola.
If a parabola is rotated about its axis of symmetry, a parabolic surface is formed which can be used to
reflect light. When a ray of light hits the surface of a parabolic concave mirror, the angle between the
incident ray and the tangent of the mirror at that point is equal to the angle between the reflected ray
and the tangent of the mirror at that point. It is interesting to find out what happens to the reflected
light if the incident ray of light is parallel to the principal axis of a parabolic concave mirror. This may
be done using precisely drawn graphs of parabolas.
1. (a) Draw the graph of y2
= 4x for 0 x 9.
(b) Draw as accurately as possible tangents (or normals) for a few suitable values of x and show
how the incident rays parallel to the x-axis are reflected. Make a conclusion for this investigation and
estimate the coordinates of the focus of the parabola y2
= 4x.
2. (a) Repeat the above procedures for parabolas y2
= kx, where k is a positive constant and k ≠ 4
and show how to obtain their respective foci.
(b) Deduce, in terms of k, the focus of the parabola y2
= kx, where k is a positive constant.
(c) Discuss the case when k is a negative constant.
3. Investigate and conclude the coordinates of the focus of the parabola y = kx2
, where k is a positive
constant.
4. A flash light with a parabolic reflecting mirror is positioned such that the axis of symmetry is
vertical. The bulb is located at the focus of the mirror and light from this point is reflected outward
parallel to the axis of symmetry. The mirror has a diameter of 40 cm and a depth of 20 cm. Where the
bulb should be placed relative to the vertex of the mirror?
954/4
< <

954 sp math(t)b

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