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Front Cover Of Cam/Ie As & A Level Maths Prob & Statistics 1
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Cam/Ie As & A Level Maths Prob & Statistics 1

ISBN: 9781510421752

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SKU: 9781510421752
Front Cover Of Cam/Ie As & A Level Maths Prob & Statistics 1

Cam/Ie As & A Level Maths Prob & Statistics 1

R 768.00
  • Publisher: Hachette Learning
  • Published: 2018
  • Format: Paperback
  • Pages: 224
  • Language: English
  • ISBN: 9781510421752
  • Dimensions: 24.4 x 18.8 x 1.2 cm
  • Weight: 0.5 kg
  • Synopsis:

    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 5 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 Boost eBook.*

    *To have full access to the eBook and Integral resources you must be subscribed to both Boost and Integral. To trial our eBooks and/or subscribe to Boost, visit: www.hoddereducation.com/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.

    This book covers the syllabus content for Probability and Statistics 1, including representation of data, permutations and combinations, probability, discrete random variables and the normal distribution.

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