-15 %
COMPLETE PROBABILITY AND STATISTICS 1 FOR CAMBRIDGE INTERNATIONAL AS AND A LEVEL: STUDENT BOOK (2ED) - 9780198425151
- Stock: In Stock
- Publisher: Oxford University Press
- Weight: 0.50kg
- ISBN: 9780198425151
RM133.90
RM157.50
Ex Tax: RM133.90
Description
- Full syllabus support with a comprehensive mapping grid drawn directly from the latest syllabus (9709) for examination from 2020
- Clear explanations and extensive graduated practice for every topic to help every student hone their skills
- Focus on real-world application via up-to-date international examples to prepare students for higher education
- Realistic exam practice with exam-style questions covering all topics
- Worked examples provided to eliminate confusion and demonstrate important techniques for confident tackling of every question
- Table of Contents:
- Syllabus matching grid
- Introduction to statistical thinking
- What is statistics and why is it important?
- Types of data
- Measures of location and spread
- Averages
- Quartiles and the interquartile range
- Variance and standard deviation
- Which average should you use?
- Coding
- Representing and analysing data
- Stem-and-leaf diagrams
- Box-and-whisker plots
- Histograms
- Cumulative frequency graphs
- Skewness
- Comparing distributions
- Review exercise A
- Maths in real-life: Seeing the wood and the trees
- Probability
- Basic concepts and language of probability
- Two (or more) events
- Tree diagrams
- Conditional probability
- Relationships between events
- Probability distributions and discrete random variables
- Discrete random variables
- The probability function, p(x)
- Expectation of a discrete random variable
- The variance of a discrete random variable
- Permutations and combinations
- Permutations of n distinct objects in a straight line
- Permutations of k objects from distinct objects in a straight line
- Allowing constraints on permutations (for n distinct objects)
- Permutations when some objects are not distinguishable
- Combinations
- Evaluate probabilities by calculation using permutations or combinations
- Review exercise B
- Maths in real-life: Sporting statistics
- The binomial distribution
- Introducing the binomial distribution
- Mean and variance of the binomial distribution
- Modelling with the binomial distribution
- The geometric distribution
- Introducing the geometric distribution
- The mean of the geometric distribution
- The normal distribution
- Continuous probability distributions and the normal distribution
- Standard normal distribution
- Calculating probabilities for the (µ, σ²) distribution
- Using the normal distribution
- The normal approximation to the binomial distribution
- Normal shape of some binomial distributions
- Continuity correction
- 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