Cambridge International AS & A Level Further Mathematics Further Probability & Statistics

£16.99

Cambridge International AS & A Level Further Mathematics Further Probability & Statistics

Educational: Mathematics and numeracy

Author: John du Feu

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Language: English

Published by: Hodder Education

Published on: 29th May 2018

Format: LCP-protected ePub

Size: 60 Mb

ISBN: 9781510422131


Exam board: Cambridge Assessment International Education

Level: A-level

Subject: Mathematics

First teaching: September 2018

First exams: Summer 2020

Endorsed by Cambridge Assessment International Education to provide full support for Paper 4 of the syllabus for examination from 2020.

Take mathematical understanding to the next level with this accessible series, written by experienced authors, examiners and teachers.

  • Improve confidence as a mathematician with clear explanations, worked examples, diverse activities and engaging discussion points.
  • Advance problem-solving, interpretation and communication skills through a wealth of questions that promote higher-order thinking.
  • Prepare for further study or life beyond the classroom by applying mathematics to other subjects and modelling real-world situations.
  • Reinforce learning with opportunities for digital practice via links to the Mathematics in Education and Industry's (MEI) Integral platform in the eBooks.*

*To have full access to the eBooks and Integral resources you must be subscribed to both Boost and Integral. To trial our eBooks and/or subscribe to Boost, visit: www.hoddereducation.co.uk/boost; to view samples of the Integral resources and/or subscribe to Integral, visit integralmaths.org/international

Please note that the Integral resources have not been through the Cambridge International endorsement process.

Answers to exercise questions are on Cambridge Extras: www.hoddereducation.co.uk/cambridgeextras

This book covers the syllabus content for Further Probability and Statistics, including continuous random variables, inference using normal and t-distributions, chi-squared tests, non-parametric tests and probability generating functions.

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