* Join the Educational Research Forum *
Have your say, earn rewards. Find out more

Complete Probability & Statistics 1 for Cambridge International AS & A Level

View larger

Look inside

Look Inside (PDF)

Part of Oxford Mathematics for Cambridge International AS & A Level

Develop advanced mathematical skills with a real-world focus

Author James Nicholson

Suitable for: Students of Cambridge International AS & A Level Mathematics (9709)

Price: £24.99

ISBN: 978-0-19-842515-1
Publication date: 12/07/2018
Paperback: 224 pages
Dimensions: 246x189mm

Availability: In stock.

Added. View basket

You can use the basket to:

pay by credit card
order on account
forward to a colleague

Description

Providing complete syllabus support (9709), this stretching and practice-focused course builds the advanced skills needed for the latest Cambridge assessments and the transition to higher education. Engaging, real world examples make mathematics relevant to real life.

Features

Be confident of full syllabus support with a comprehensive mapping grid drawn directly from the latest syllabus (9709) for examination from 2020
Help every student hone their skills with clear explanations and extensive graduated practice for every topic
Get students ready for higher education with a focus on real world application via up-to-date international examples
Give students realistic exam practice with exam style questions covering all topics
Eliminate confusion with worked examples that show important techniques so students can confidently tackle every question

This page was last updated on 22 December 2024 at 20:30 GMT

Syllabus matching grid
1 Introduction to statistical thinking
1.1: What is statistics and why is it important?
1.2: Types of data
2 Measures of location and spread
2.1: Averages
2.2: Quartiles and the interquartile range
2.3: Variance and standard deviation
2.4: Which average should you use?
2.5: Coding
3 Representing and analysing data
3.1: Stem-and-leaf diagrams
3.2: Box-and-whisker plots
3.3: Histograms
3.4: Cumulative frequency graphs
3.5: Skewness
3.6: Comparing distributions
Review exercise A
Maths in real-life: Seeing the wood and the trees
4 Probability
4.1: Basic concepts and language f probability
4.2: Two (or more) events
4.3: Tree diagrams
4.4: Conditional probability
4.5: Relationships between events
5 Probability distributions and discrete random variables
5.1: Discrete random variables
5.2: The probability function, p(x)
5.3: Expectation of a discrete random variable
5.4: The variance of a discrete random variable
6 Permutations and combinations

6.1: Permutations of n distinct objects in a straight line
6.2: Permutations of k objects from distinct objects in a straight line
6.3: Allowing constraints on permutations (for n distinct objects)
6.4: Permutations when some objects are not distinguishable
6.5: Combinations
6.6: Evaluate probabilities by calculation sing permutations or combinations
Review exercise B
Maths in real-life: Sporting statistics
7 The binomial distribution
7.1: Introducing the binomial distribution
7.2: Mean and variance of the binomial distribution
7.3: Modelling with the binomial distribution
8 The geometric distribution
8.1: Introducing the geometric distribution
8.2: The mean of the geometric distribution
9 The normal distribution
9.1: Continuous probability distributions and the normal distribution
9.2: Standard normal distribution
9.3: Calculating probabilities for the (µ, *s2) distribution
9.4: Using the normal distribution
10 The normal approximation to the binomial distribution
10.1: Normal shape of some binomial distributions
10.2: Continuity correction
10.3: The parameters for the normal approximation
Review exercise C
Maths in real-life: Statistics is definitely not a lonely world
Exam-style paper A
Exam-style paper B
Answers
Data sets
Glossary of terms
Index