Cambridge O-Level Statistics Coursebook PDF Download
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Author: Dean James Chalmers
Publisher: Cambridge University Press
ISBN: 1107577039
Category : Education
Languages : en
Pages : 289
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Book Description
Cambridge O-Level Statistics develops the use of statistical techniques through a skill-building approach. Cambridge O-Level Statistics uses a skill-building approach that encourages the application of knowledge to a range of statistical problems. The coursebook provides learners with the opportunity to practice and consolidate the skills required of the Cambridge O Level (4040) syllabus, while understanding the ideas, methodology and terminology used in statistics.
Author: Dean James Chalmers
Publisher: Cambridge University Press
ISBN: 1107577039
Category : Education
Languages : en
Pages : 289
Get Book Here
Book Description
Cambridge O-Level Statistics develops the use of statistical techniques through a skill-building approach. Cambridge O-Level Statistics uses a skill-building approach that encourages the application of knowledge to a range of statistical problems. The coursebook provides learners with the opportunity to practice and consolidate the skills required of the Cambridge O Level (4040) syllabus, while understanding the ideas, methodology and terminology used in statistics.
Author:
Publisher: East African Publishers
ISBN: 9789966463517
Category : Statistics
Languages : en
Pages : 308
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Book Description
Author: Dean James Chalmers
Publisher: Cambridge University Press
ISBN: 9780521169547
Category : Juvenile Nonfiction
Languages : en
Pages : 232
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Book Description
O Level Statistics provides comprehensive coverage of the Cambridge syllabus, and will also be of invaluable use to those studying Statistics and/or Probability on any other syllabus at a similar or higher level. The chapters in this book have been constructed and arranged in such a way that the entire syllabus can be covered by working through chapters 1 and 12 in sequence. However, the teachers and students are at liberty to study the topics in an order of their choice. Chapter 13 contains work on three additional topics that can be used as and when needed. The aim of this book is to serve as a basic introduction to the study of Statistics and Probability, enabling students to gain a sound knowledge and understanding of the elementary ideas, methods and terminology used in the subject.
Author: Peck Hoon Teo
Publisher: Pearson Education South Asia
ISBN: 9789810613259
Category : Chemistry
Languages : en
Pages : 276
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Book Description
Author: Jonathan Blundell
Publisher:
ISBN: 1009282964
Category : Juvenile Nonfiction
Languages : en
Pages : 313
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Book Description
Help learners build a deep understanding of sociological concepts by exploring links between global topics such as identity, family and culture. Varied activities support the development of key research and analysis skills, as learners apply what they have learnt to real-world scenarios. Written with English as second language learners in mind, this coursebook includes key word definitions and opportunities for learners to check their understanding. Suitable for the Cambridge IGCSE(TM) and O Level Sociology syllabuses (0495/2251) for examination from 2025. Answers are available to teachers via Cambridge GO.
Author: Audrey Simpson
Publisher: Cambridge University Press
ISBN: 1316506444
Category : Education
Languages : en
Pages : 729
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Book Description
Cambridge O Level Mathematics is a resource to accompany the revised 4024 syllabus. This coursebook provides a complete course for developing and practising the skills required for the O Level Mathematics qualification. The content has been written to offer a range of tasks that support all aspects of the Cambridge O Level Mathematics syllabus (4024) giving students the confidence to use the mathematical techniques required to solve the range of maths problems required. With detailed explanations of concepts, worked examples and exercises, this coursebook can be used as a classroom text and for self-study.
Author: M.G. Akritas
Publisher: Elsevier
ISBN: 0080540376
Category : Mathematics
Languages : en
Pages : 522
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Book Description
The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime examples include the bootstrap and resampling methods, wavelets and nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting. This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium. Key features: • algorithic approaches • wavelets and nonlinear smoothers • graphical methods and data mining • biostatistics and bioinformatics • bagging and boosting • support vector machines • resampling methods
Author: Dean Chalmers
Publisher: Cambridge University Press
ISBN: 1108407307
Category : Education
Languages : en
Pages : 265
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Book Description
This series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020. Cambridge International AS & A Level Mathematics: Probability & Statistics 1 matches the corresponding unit of the syllabus, with a clear and logical progression through. It contains materials on topics such as data, variation, probability, permutations and combinations, binomial and geometric distributions, and normal distribution. This coursebook contains a variety of features including recap sections for students to check their prior knowledge, detailed explanations and worked examples, end-of-chapter and cross-topic review exercises and 'Explore' tasks to encourage deeper thinking around mathematical concepts. Answers to coursebook questions are at the back of the book.
Author: Shein-Chung Chow
Publisher: CRC Press
ISBN: 135111025X
Category : Medical
Languages : en
Pages : 4057
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Book Description
Since the publication of the first edition in 2000, there has been an explosive growth of literature in biopharmaceutical research and development of new medicines. This encyclopedia (1) provides a comprehensive and unified presentation of designs and analyses used at different stages of the drug development process, (2) gives a well-balanced summary of current regulatory requirements, and (3) describes recently developed statistical methods in the pharmaceutical sciences. Features of the Fourth Edition: 1. 78 new and revised entries have been added for a total of 308 chapters and a fourth volume has been added to encompass the increased number of chapters. 2. Revised and updated entries reflect changes and recent developments in regulatory requirements for the drug review/approval process and statistical designs and methodologies. 3. Additional topics include multiple-stage adaptive trial design in clinical research, translational medicine, design and analysis of biosimilar drug development, big data analytics, and real world evidence for clinical research and development. 4. A table of contents organized by stages of biopharmaceutical development provides easy access to relevant topics. About the Editor: Shein-Chung Chow, Ph.D. is currently an Associate Director, Office of Biostatistics, U.S. Food and Drug Administration (FDA). Dr. Chow is an Adjunct Professor at Duke University School of Medicine, as well as Adjunct Professor at Duke-NUS, Singapore and North Carolina State University. Dr. Chow is the Editor-in-Chief of the Journal of Biopharmaceutical Statistics and the Chapman & Hall/CRC Biostatistics Book Series and the author of 28 books and over 300 methodology papers. He was elected Fellow of the American Statistical Association in 1995.
Author: Rudolf Kruse
Publisher: Springer Science & Business Media
ISBN: 364233041X
Category : Computers
Languages : en
Pages : 555
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Book Description
In recent years there has been a growing interest to extend classical methods for data analysis. The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance. Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present in the form of randomness --- various types of incomplete or subjective information have to be handled. About twelve years ago the idea of strengthening the dialogue between the various research communities in the field of data analysis was born and resulted in the International Conference Series on Soft Methods in Probability and Statistics (SMPS). This book gathers contributions presented at the SMPS'2012 held in Konstanz, Germany. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics. Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.
