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            Phoenix Senior Maths Topics

             Differential Calculus

                   Probability

                   Series & Sequences

                                                           by George Fisher

 

Phoenix Senior Maths Topics provide thorough and detailed explanations, worked examples, summaries and practice exam questions on essential senior maths topics. Each book is a detailed treatment of a topic selected because of its importance in senior maths. They can be used at school, to supplement the textbook, providing more detail and exercises, and at home, to aid home study and exam preparation.

These books are for senior secondary students, particularly those who:

o       want to study a topic in more depth

o       are having difficulty with a topic

 Phoenix Senior Maths Topics books can be used:

·     to learn and understand the topic: a full and detailed treatment of the topic with clear step-by-step explanations and plenty of worked examples.

·     as a study and revision aid: a separate summary contains the information which has to be learned, as well as exercises and sample tests with typical examination questions. Solutions are provided.

·     as a reference: all the relevant information is easy to find and easy to understand.

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Differential Calculus Contents  

About this book

Chapter 1 Limits

Definition

Properties of limits

Chapter 2 Continuity

Chapter 3 Gradient of a secant

Chapter 4 Gradient of a tangent

Chapter 5 The gradient function

Chapter 6 Continuity and smoothness

Chapter 7 Differentiation

The derived function

Differentiation from first principles

Increment notation

Using the delta notation

Chapter 8 Rules for differentiation

The derivative of xn for n an integer

The derivative of cxn

The derivative of cx

The derivative of a constant

The derivative of sums and differences of functions

The derivative of xn for negative indices

The derivative of xn for fractional indices

Differentiation with respect to other variables

 

Chapter 9 Further rules for differentiation

The function of a function rule

The chain rule

The product rule

The product rule involving the function of a function rule

The quotient rule

The quotient rule involving the function of a function rule

Chapter 10 Geometric applications of differentiation

Tangents and normals

Higher derivatives

Stationary points

Turning points

Significants of the second derivative

Maxima and minima

Practical applications of maxima and minima

Chapter 11 Miscellaneous examples

Summary

Sample tests

Answers

 

  Series and Sequences Contents  

About this book

Chapter 1 Basic definitions

Definitions, notation

The general term of a series

Sum of a series

Given Sn find Tn

Chapter 2 Arithmetic progression

Definition

The general AP

The sum of an AP

The arithmetic mean

Chapter 3 Geometric progression

Definition

The general GP

The sum of a GP

The geometric mean

Chapter 4 Applications of AP

 

Chapter 5 Applications of GP

Simple and compound interest

Superannuation, annuities and time payments

Sum to infinity

Recurring decimals

Chapter 6 Miscellaneous problems

Chapter 7 Mathematical induction

Some preliminary results

Mathematical induction

Summary

Sample tests

Answers

 

Probability Contents  

About this book

Chapter 1 Basic definitions and ideas

Random experiments.  Equally likely outcomes

Non-equally likely outcomes

Simple events

Composite events

Sample space

Favourable outcomes

Chapter 2 Diagrammatic representation of sample spaces

Tree diagrams

Geometric representation of sample space

Contracted form of tree diagrams

Chapter 3 The probability of an event

Definition

Successive outcomes

The multiplication principle 

Probability by tree diagrams

Probability that an event does not occur

The box-filling technique

Chapter 4 Conditional probability

Chapter 5 Sets and the Venn diagram

Intersection

Union

Chapter 6 The addition principle

Mutually exclusive events

Events that are not mutually exclusive

Using Venn diagrams

Chapter 7 The product theorem of probability

Multi-stage random experiments

Product rule

Summary of the 'product theorems' results

Using complementary events

Chapter 8 Probability trees

Chapter 9 Miscellaneous

The addition and product theorems

Sampling without replacement

Chapter 10 Permutations and combinations

Permutations

Combinations

Circular arrangements of unlike things

Chapter 11 The binomial theorem

Chapter 12 Further probability

Application of counting techniques

Binomial probability distribution

Expected value

Summary

Sample tests

Answers