| Author | : Steve Dobbs |
| Publisher | : Cambridge University Press |
| Total Pages | : 183 |
| Release | : 2003-03-06 |
| Genre | : Juvenile Nonfiction |
| ISBN | : 9780521530149 |
Written to match the contents of the Cambridge syllabus. Statistics 2 corresponds to unit S2. It covers the Poisson distribution, linear combinations of random variables, continuous random variables, sampling and estimation, and hypothesis tests.
| Author | : Greg Attwood |
| Publisher | : Heinemann |
| Total Pages | : 148 |
| Release | : 2001 |
| Genre | : Mathematics |
| ISBN | : 9780435510855 |
A syllabus-specific textbook providing worked examples, exam-level questions and many practice exercises, in accordance to the new Edexcel AS and Advanced GCE specification.
| Author | : James Nicholson |
| Publisher | : Oxford University Press - Children |
| Total Pages | : 212 |
| Release | : 2019-09-05 |
| Genre | : Mathematics |
| ISBN | : 0198427662 |
Providing complete syllabus support (9709), this stretching and practice-focused course builds the advanced skills needed for the latest Cambridge assessments and the transition to higher education. Engaging, real world examples make mathematics relevant to real life.
| Author | : Sophie Goldie |
| Publisher | : Hachette UK |
| Total Pages | : 164 |
| Release | : 2018-05-08 |
| Genre | : Study Aids |
| ISBN | : 1510421149 |
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.
| Author | : Keith Pledger |
| Publisher | : Pearson Education Ltd |
| Total Pages | : 220 |
| Release | : 2008-07 |
| Genre | : Mathematics |
| ISBN | : 9780435519124 |
Including student-friendly worked examples and solutions that lead up to practice questions, this title gives students revision advice, ideas, summaries and exam practice, with hints and tips.
| Author | : Gareth James |
| Publisher | : Springer Nature |
| Total Pages | : 617 |
| Release | : 2023-08-01 |
| Genre | : Mathematics |
| ISBN | : 3031387473 |
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
| Author | : Greg Port |
| Publisher | : Hodder Education |
| Total Pages | : 0 |
| Release | : 2014-09-26 |
| Genre | : A-level examinations |
| ISBN | : 9781444197686 |
Deepen your students understanding through hundreds of additional practice questions. - Contains a wealth of levelled questions, including stretch and challenge for higher ability students - Provides exam practice with questions from past Cambridge exam papers - Ideal as a course companion or homework book to learn and practices the course content This title accompanies our series of Cambridge endorsed Student's Books, but has not been through the Cambridge endorsement process.
| Author | : Sophie Goldie |
| Publisher | : Hachette UK |
| Total Pages | : 228 |
| Release | : 2018-05-14 |
| Genre | : Study Aids |
| ISBN | : 1510421033 |
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.
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2005 |
| Genre | : International baccalaureate |
| ISBN | : 9781876543518 |
