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• ISBN:9781108407342
• Format:Paperback
• Subject(s):Mathematics
• Qualification:Cambridge AS and A Level
• Author(s):Jayne Kranat, 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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× This is a Sterling guide price. You will be invoiced in the appropriate currency for your country.

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• DESCRIPTION

Cambridge International AS & A Level Mathematics: Probability & Statistics 2 matches the corresponding unit of the syllabus, with a clear and logical progression through. It contains materials on topics such as hypothesis testing, Poisson distribution, linear combinations and continuous random variables, and sampling. 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.

• Contents
• FEATURES
• 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.

• Exam-style and past-paper questions at the end of each chapter and cross-topic revision exercises to provide opportunities for assessment.

• CONTENTS
• 1. Hypothesis testing
• 2. Poisson distribution
• 3. Linear combinations of random variables
• Cross-topic revision exercise 1
• 4. Continuous random variables
• 5. Sampling
• 6. Interpretation of sample data
• Cross-topic revision exercise 2
• Practice paper
• Glossary
• Index.

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