O LEVEL STATISTICS

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O Level Statistics

Author : Dean James Chalmers
ISBN : 0521169542
Genre : Juvenile Nonfiction
File Size : 42.36 MB
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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.
Category: Juvenile Nonfiction

Cambridge O Level Statistics Coursebook

Author : Dean James Chalmers
ISBN : 9781107577039
Genre : Juvenile Nonfiction
File Size : 28.71 MB
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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.
Category: Juvenile Nonfiction

Cambridge O Level Mathematics

Author : Audrey Simpson
ISBN : 9780521186049
Genre : Juvenile Nonfiction
File Size : 78.90 MB
Format : PDF
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Endorsed by University of Cambridge International Examinations. Cambridge O Level Mathematics Volume 1 provides a two-year course leading to O Level examinations from University of Cambridge International Examinations in Mathematics. The book is designed to be worked through sequentially and can be used as a classroom textbook or for self-study.
Category: Juvenile Nonfiction

Applied Statistics In Occupational Safety And Health

Author : Christopher A. Janicak
ISBN : 0865871698
Genre : Mathematics
File Size : 23.32 MB
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Applied Statistics in Occupational Safety and Health, second edition, provides occupational safety and health professionals with an introductory guide to basic statistics and data analysis. This book is written in an easy-to-understand format with step-by-step procedures to analyze data using a variety of statistical techniques. In this second edition new and updated examples are provided as well as additional statistical tests. Topics in this book include statistical procedures for analyzing means, descriptive statistical methods, correlations, regression, and non-parametric statistical tests. At the end of each chapter, the author has provided sample problems and solutions.
Category: Mathematics

Occupational Outlook Handbook 2009

Author : U. S. Department of Labor
ISBN : 9781602393202
Genre : Business & Economics
File Size : 57.4 MB
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A directory for up-and-coming jobs in the near-future employment market includes recommendations for finding or advancing a career and draws on statistics from the U.S. Department of Labor, in a guide that includes coverage of more than 250 occupations. Original.
Category: Business & Economics

An Introduction To Statistical Learning

Author : Gareth James
ISBN : 9781461471387
Genre : Mathematics
File Size : 82.26 MB
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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 to marketing to 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, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
Category: Mathematics

The Elements Of Statistical Learning

Author : Trevor Hastie
ISBN : 9780387216065
Genre : Mathematics
File Size : 81.10 MB
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During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Category: Mathematics

Introductory Statistics With R

Author : Peter Dalgaard
ISBN : 9780387790541
Genre : Mathematics
File Size : 27.29 MB
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This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
Category: Mathematics

O Level Mathematics Challenging Drill Questions Yellowreef

Author : Thomas Bond
ISBN : 9780797802117
Genre : Education
File Size : 75.67 MB
Format : PDF, ePub
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• new questions from top schools & colleges from 2003 – 2015 • complete and true encyclopedia of all question-types • expose all “surprise & trick” questions • complete answer keys • most efficient method of learning, hence saves time • arrange from easy-to-hard both by topics and question-types to facilitate easy absorption • full set of step-by-step solution approaches (available separately) • advanced trade book with teachers’ comments • buy online at www.yellowreef.com to enjoy attractive discounts • complete edition and concise edition eBooks available • also suitable for • Cambridge IGCSE • Cambridge International GCE OL • Books available for other subjects including Physics, Chemistry, Biology, Mathematics, Economics, English • Primary level, Secondary level, GCE O-level, GCE A-level, iGCSE, Cambridge A-level, Hong Kong DSE • visit www.yellowreef.com for sample chapters and more
Category: Education