The Caribbean Environment for CSEC® Geography PDF Download
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Author: Mark Wilson Publisher: Oxford University Press - Children ISBN: 0198395655 Category : Juvenile Nonfiction Languages : en Pages : 360
Book Description
The Caribbean Environment has been fully revised with a wealth of new topical case study material to match the latest syllabus. Completely up to date, it is the most comprehensive and accessible resource for CSEC geography. It contains questions, mapwork skills and activities, clear explanations, high-quality informative photographs and diagrams. Additional digital resources offer further support as students make progress in their programme of study.
Author: Mark Wilson Publisher: Oxford University Press - Children ISBN: 0198395655 Category : Juvenile Nonfiction Languages : en Pages : 360
Book Description
The Caribbean Environment has been fully revised with a wealth of new topical case study material to match the latest syllabus. Completely up to date, it is the most comprehensive and accessible resource for CSEC geography. It contains questions, mapwork skills and activities, clear explanations, high-quality informative photographs and diagrams. Additional digital resources offer further support as students make progress in their programme of study.
Author: Ann Fullick Publisher: Hodder Education ISBN: 1398380164 Category : Study Aids Languages : en Pages : 981
Book Description
Provide a comprehensive and engaging student-centred approach to Human and Social Biology with an updated textbook aligned to the latest CSEC syllabus for examination from June 2022. - Cover all topics with brand new content on the environment, diseases and pandemics with a full focus on their impact in the Caribbean - Develop subject knowledge with 'Did you know?' features; and consolidate learning using objectives, end of section checkpoint questions and summaries within each chapter - Create meaningful links with 'The Biologist's Toolkit' feature to strengthen maths, science and language skills needed to meet the course objectives - Support application of practical tasks via step-by-step guidance on how to research, present and analyse data, and come to realistic conclusions and recommendations - Avoid common errors with an increased focus on 'What the Examiners say' for problem topics Added for the eBook - Aid visual learning using diagrams, illustrations, video links and demonstrations in the eBook
Author: Derek McMonagle Publisher: Oxford University Press - Children ISBN: 0198395620 Category : Juvenile Nonfiction Languages : en Pages : 388
Book Description
Written specifically for use in Caribbean schools, this course is tailored to the requirements of Integrated Science students and the latest CSEC syllabus by providing course contents in a clear, concise and accessible way. It now features newly added digital resources and increased SBA guidance, to help engage students and provide additional support as they study for their examination.
Author: John Avison Publisher: Oxford University Press, USA ISBN: 9781408525111 Category : Juvenile Nonfiction Languages : en Pages : 384
Book Description
Newly revised in line with the latest syllabus and with a modernised, student-friendly design, including a truly interactive CD which provides additional practice for students and brings lab work to life with exciting activities and simulations.
Author: Anne Tindale Publisher: Oxford University Press - Children ISBN: 019835715X Category : Science Languages : en Pages : 373
Book Description
Newly revised in line with the latest syllabus and with a modernised, student-friendly design, which provides additional practice for students and brings lab work to life with exciting activities and simulations.
Author: Alvin C. Rencher Publisher: John Wiley & Sons ISBN: 0470192607 Category : Mathematics Languages : en Pages : 690
Book Description
The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.
Author: Mark Wilson
Author: Mark Wilson
Author: Gale Group
Author: Mark Wilson
Author: Ann Fullick
Author: Derek McMonagle
Author: 
Author: Mike Morrissey
Author: John Avison
Author: Anne Tindale
Author: Alvin C. Rencher