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- 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
| Erscheinungsjahr: | 2018 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 224 |
| Inhalt: | Bundle |
| ISBN-13: | 9780198425151 |
| ISBN-10: | 0198425155 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Nicholson, James |
| Hersteller: | Oxford University Press |
| Maße: | 190 x 245 x 15 mm |
| Von/Mit: | James Nicholson |
| Erscheinungsdatum: | 12.07.2018 |
| Gewicht: | 0,442 kg |
- 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
| Erscheinungsjahr: | 2018 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 224 |
| Inhalt: | Bundle |
| ISBN-13: | 9780198425151 |
| ISBN-10: | 0198425155 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Nicholson, James |
| Hersteller: | Oxford University Press |
| Maße: | 190 x 245 x 15 mm |
| Von/Mit: | James Nicholson |
| Erscheinungsdatum: | 12.07.2018 |
| Gewicht: | 0,442 kg |
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