Complete Probability & Statistics 1 for Cambridge International AS & A Level 2nd Edition James Nicholson 9780198427612 0198427611

Complete Probability & Statistics 1 for Cambridge International AS & A Level 2nd Edition James Nicholson – Ebook Instant Download/Delivery ISBN(s): 9780198425151,019842515,9780198427612,0198427611

Product details:

• ISBN 10: 0198427611
• ISBN 13: 9780198427612 
• Author: James Nicholson

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.

Table contents:

Part 1. Introduction to statistical thinking
1.1. What is statistics and why is it important?
1.2. Types of data
Part 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
Part 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
Maths in real-life: Seeing the wood and the trees
Part 4. Probability
4.1. Basic concepts and language of probability
4.2. Two (or more) events
4.3. Tree diagrams
4.4. Conditional probability
4.5. Relationships between events
Part 5. Probability distributions anddiscrete 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
Part 6. Permutations and combinations
6.1. Permutations of n distinct objects in a line
6.2. Permutations of k objects from n distinct objectsin a 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 using permutationsor combinations
Maths in real-life: Sporting statistics
Part 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
Part 8. The geometric distribution
8.1. Introducing the geometric distribution
8.2. The mean of the geometric distribution
8.3. Modelling with the geometric distribution
Part 9. The normal distribution
9.1. Continuous probability distributions andthe normal distribution
9.2. Standard normal distribution
9.3. Calculating probabilities for the N(μ, σ2) distribution
9.4. Modelling with the normal distribution
Part 10. The normal approximation tothe binomial distribution
10.1. Normal shape of some binomial distributions
10.2. Continuity correction
10.3. The parameters for the normal approximation

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