Nelson Probability and Statistics 2 for Cambridge International a Level Online Student Book
Nelson Probability and Statistics 2 for Cambridge International a Level Online Student Book

Author: J. Chambers

Publisher: Oxford University Press, USA

Published: 2016-04-07

Total Pages: 224

ISBN-13: 9780198379867

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The Nelson Mathematics for Cambridge International AS and A Level series is tailored to the needs of A and AS level students of the latest 9709 syllabus. Developed by a team of experienced examiners and international authors, it provides comprehensive coverage for this syllabus and effectivepreparation for the Cambridge exams.Nelson Probability and Statistics 2 for Cambridge International A Level is for students taking the S2 exam paper. The text aids students in their understanding of course material by providing introductions to concepts accompanied by example questions and their solutions, showing each step of theworkings and commenting on the reasoning processes involved. Mixed exercises with more detailed questions, similar to those found in the actual examinations, test the knowledge of content covered in previous chapters, helping students to apply knowledge. In addition, practice exam papers providestudents with opportunities for effective exam preparation and so help them reach their full potential.

Nelson Mathematics for Cambridge International A Level: Probability and Statistics 2
Nelson Mathematics for Cambridge International A Level: Probability and Statistics 2

Author: Janet Crawshaw

Publisher: Oxford University Press - Children

Published: 2016-03-10

Total Pages: 228

ISBN-13: 0198379854

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The Nelson Mathematics for Cambridge International AS & A Level series is tailored to the needs of A and AS level students of the latest 9709 syllabus. Developed by a team of experienced examiners and international authors, it provides comprehensive coverage for this syllabus and effective preparation for the Cambridge exams. Nelson Probability and Statistics 2 for Cambridge International A Level is for students taking the S2 exam paper. The text aids students in their understanding of course material by providing introductions to concepts accompanied by example questions and their solutions, showing each step of the workings and commenting on the reasoning processes involved. Mixed exercises with more detailed questions, similar to those found in the actual examinations, test the knowledge of content covered in previous chapters, helping students to apply knowledge. In addition, practice exam papers provide students with opportunities for effective exam preparation and so help them reach their full

High-Dimensional Probability
High-Dimensional Probability

Author: Roman Vershynin

Publisher: Cambridge University Press

Published: 2018-09-27

Total Pages: 299

ISBN-13: 1108415199

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An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Cambridge International AS & A Level Mathematics Probability & Statistics 1
Cambridge International AS & A Level Mathematics Probability & Statistics 1

Author: Sophie Goldie

Publisher: Hachette UK

Published: 2018-05-14

Total Pages: 228

ISBN-13: 1510421033

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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.

Nelson Mathematics for Cambridge International A Level: Probability and Statistics 1
Nelson Mathematics for Cambridge International A Level: Probability and Statistics 1

Author: Janet Crawshaw

Publisher: Oxford University Press - Children

Published: 2016-03-10

Total Pages: 244

ISBN-13: 019837982X

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The Nelson Mathematics for Cambridge International AS & A Level series is tailored to the needs of A & AS level students of the latest 9709 syllabus. Developed by a team of experienced examiners and international authors, it provides comprehensive coverage for this syllabus and effective preparation for the Cambridge exams. Nelson Probability and Statistics 1 for Cambridge International A Level is for students taking the S1 exam paper. The text provides introductions to topics and step-by-step worked examples to aid students in their understanding of the course material. Mixed exercises with more detailed questions, similar to those found in the actual examinations, test the knowledge of content covered in previous chapters, helping students to apply knowledge. In addition, practice exam papers provide students with opportunities for effective exam preparation and so help them reach their full potential.

Introduction to Probability
Introduction to Probability

Author: David F. Anderson

Publisher: Cambridge University Press

Published: 2017-11-02

Total Pages: 447

ISBN-13: 110824498X

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This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.

Mathematical Statistics with Applications in R
Mathematical Statistics with Applications in R

Author: Kandethody M. Ramachandran

Publisher: Elsevier

Published: 2014-09-14

Total Pages: 825

ISBN-13: 012417132X

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Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students.Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. - Step-by-step procedure to solve real problems, making the topic more accessible - Exercises blend theory and modern applications - Practical, real-world chapter projects - Provides an optional section in each chapter on using Minitab, SPSS and SAS commands - Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods

MYP Mathematics 2: Print and Online Course Book Pack
MYP Mathematics 2: Print and Online Course Book Pack

Author: David Weber

Publisher: Oxford University Press, USA

Published: 2018-06-07

Total Pages: 0

ISBN-13: 9780198356264

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Build solid mathematical understanding and develop key conceptual connections. The inquiry-based approach integrates the MYP key concepts, helping you shift to a concept-based classroom and cement mathematical comprehension. Fully comprehensive and matched to the Revised MYP to support achievement. Progress your learners into IB Diploma - fully comprehensive and matched to the MYP Next Chapter curriculum Develop conceptual understanding in the best way for your learners - learn by mathematical unit or by key concept Drive active, critical exploration of mathematical principles - build rounded comprehension framed within the key and related concepts Develop meaningful cross-curricular connections that help learners recognize and manipulate mathematical ideas in other disciplines Support higher level thinking skills through an approach grounded in factual, conceptual and debatable questions Build a solid foundation of practical skills with extensive practice equipping learners to apply skills Fully prepare learners for the MYP eAssessment Multiplatform access, compatible with a wide range of devices Your first login will be facilitated by a printed access card that will be sent to you in the mail Includes one print course book and one online course book

Cambridge International AS & A Level Mathematics Probability & Statistics 2
Cambridge International AS & A Level Mathematics Probability & Statistics 2

Author: Sophie Goldie

Publisher: Hachette UK

Published: 2018-05-08

Total Pages: 164

ISBN-13: 1510421149

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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 6 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 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 2, including the Poisson distribution, linear combinations of random variables, continuous random variables, sampling and estimation and hypothesis tests.