Year 9 Mathematics and Statistics Learning Workbook PDF Download
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Author: Phyl Haydock
Publisher:
ISBN: 9780947504854
Category :
Languages : en
Pages : 346
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Book Description
Author: Phyl Haydock
Publisher:
ISBN: 9780947504854
Category :
Languages : en
Pages : 346
Get Book Here
Book Description
Author: Phyl Haydock
Publisher:
ISBN: 9781877459085
Category :
Languages : en
Pages :
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Book Description
For use in classroom programmes or for home study. Will cover all the skills needed to for Year 10 of the new Mathematics Curriculum. Features bite-sized sections of theory, numerous worked examples and relevant sets of exercises for student practice. Students write their answers in the workbook and all answers are given in the back of the book.
Author: Pearson Education, Limited
Publisher: Intervention Maths
ISBN: 9780435183363
Category :
Languages : en
Pages : 64
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Book Description
Help your students catch up, keep up and make expected progress in GCSE (9-1) Maths with this new series of intervention workbooks. Now available for the schools price of only �1.99 (when quoting 568OTHR)
Author: Rory Barrett
Publisher:
ISBN: 9781877530593
Category : Mathematics
Languages : en
Pages : 296
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Book Description
Author: Phyl Haydock
Publisher:
ISBN: 9781927194935
Category : Mathematics
Languages : en
Pages : 120
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Book Description
"Updated for 2013. For exam revision and practising exam questions. Covers the four Level 1 External Mathematics Achievement Standards 1.2, 1.3, 1.6 and 1.12. Features brief revision notes, examples and questions from 2012 and 2011; earlier questions formatted for use in 2013. Answers have A, M and E grades"--From publisher.
Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
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Book Description
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: David Barton
Publisher:
ISBN: 9780947496470
Category :
Languages : en
Pages :
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Book Description
Author: Warwick Marlin
Publisher:
ISBN: 9781875462179
Category : Mathematics
Languages : en
Pages : 66
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Book Description
Includes: Maths vocabulary, integers, ratio and rates, the calculator, geometry theorems, triangles & quadrilaterals, how to reason in geometry, areas & volume, consumer arithmetic, algebra, eqations, the number plane & formulas, indices and scientific notation, statistics, graphs, formulae & problem solving, surface area, trigonometry, congruent & similar triangles, volumes, probability & chance.
Author: Chris MacLaren
Publisher:
ISBN: 9781877401343
Category : Mathematics
Languages : en
Pages : 408
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Book Description
Author: Robert Lakeland
Publisher:
ISBN: 9780732966690
Category : Mathematics
Languages : en
Pages :
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Book Description
