- Qualification:Cambridge AS and A Level
- Author(s):Dean Chalmers, Julian Gilbey
- Available from: No date available
This series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020.
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Cambridge International AS & A Level Mathematics: Probability & Statistics 1 matches the corresponding unit of the syllabus, with a clear and logical progression through. It contains materials on topics such as data, variation, probability, permutations and combinations, binomial and geometric distributions, and normal distribution. This coursebook contains a variety of features including recap sections for students to check their prior knowledge, detailed explanations and worked examples, end-of-chapter and cross-topic review exercises and 'Explore' tasks to encourage deeper thinking around mathematical concepts. Answers to coursebook questions are at the back of the book.
Clear explanations and worked examples leading into practice exercises for students to familiarise themselves with concepts and apply them to answer questions.
Written specifically for the syllabus for examination from 2020, giving teachers and learners confidence that the content of the syllabus is comprehensively covered.
Clear diagrams assist with visual learning of ideas.
“Explore” feature provides opportunities for further investigation to encourage discussion and reflection upon key mathematical concepts.
Weblinks to further resources from Underground Mathematics promote deeper understanding of concepts.
Exam-style and past-paper questions at the end of each chapter and cross-topic revision exercises to provide opportunities for assessment.
- 1. Representation of data
- 2. Measures of central tendency
- 3. Measures of variation
- Cross-topic revision exercise 1
- 4. Probability
- 5. Permutations and combinations
- Cross-topic revision exercise 2
- 6. Probability distributions
- 7. The binomial and geometric distributions
- 8. The normal distribution
- Cross-topic revision exercise 3
- Practice paper
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