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Using R for Introductory Statistics, Second Edition, Verzani


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Цена: 65320.00T
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Автор: Verzani
Название:  Using R for Introductory Statistics, Second Edition
ISBN: 9781466590731
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1466590734
Обложка/Формат: Hardback
Страницы: 518
Вес: 0.88 кг.
Дата издания: 13.08.2014
Серия: Chapman & hall/crc the r series
Язык: English
Издание: 2 ed
Иллюстрации: 42 tables, black and white; 112 illustrations, black and white
Размер: 239 x 163 x 29
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Probability & statistics, MATHEMATICS / Probability & Statistics / General
Основная тема: Statistics & Probability
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание:

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.

See Whats New in the Second Edition:

  • Increased emphasis on more idiomatic R provides a grounding in the functionality of base R.
  • Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible.
  • Use of knitr package makes code easier to read and therefore easier to reason about.
  • Additional information on computer-intensive approaches motivates the traditional approach.
  • Updated examples and data make the information current and topical.

The book has an accompanying package, UsingR, available from CRAN, Rs repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package=UsingR)), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text.

The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.



      Старое издание

Introductory Statistics for the Health Sciences

Автор: Deshea
Название: Introductory Statistics for the Health Sciences
ISBN: 1466565330 ISBN-13(EAN): 9781466565333
Издательство: Taylor&Francis
Рейтинг:
Цена: 91860.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics. Using a color format throughout, the book contains engaging figures that illustrate real data sets from published research. Examples come from many areas of the health sciences, including medicine, nursing, pharmacy, dentistry, and physical therapy, but are understandable to students in any field. The book can be used in a first-semester course in a health sciences program or in a service course for undergraduate students who plan to enter a health sciences program.

The book begins by explaining the research context for statistics in the health sciences, which provides students with a framework for understanding why they need statistics as well as a foundation for the remainder of the text. It emphasizes kinds of variables and their relationships throughout, giving a substantive context for descriptive statistics, graphs, probability, inferential statistics, and interval estimation. The final chapter organizes the statistical procedures in a decision tree and leads students through a process of assessing research scenarios.

Web Resource
The authors have partnered with William Howard Beasley, who created the illustrations in the book, to offer all of the data sets, graphs, and graphing code in an online data repository via GitHub. A dedicated website gives information about the data sets and the authors' electronic flashcards for iOS and Android devices. These flashcards help students learn new terms and concepts.


Introductory Statistics and Analytics - A Resampling Perspective

Автор: Bruce
Название: Introductory Statistics and Analytics - A Resampling Perspective
ISBN: 1118881354 ISBN-13(EAN): 9781118881354
Издательство: Wiley
Рейтинг:
Цена: 67530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Peter [Bruce] has provided relevant, newsworthy and interesting examples, and, he has the reader doing all sorts of experiments ... for getting the feel of the statistical process. I believe the topics cover the waterfront of what a primer should consist of. " From a User at Statistics.

Introductory Statistics,

Автор: Sheldon M. Ross
Название: Introductory Statistics,
ISBN: 0123743885 ISBN-13(EAN): 9780123743886
Издательство: Elsevier Science
Рейтинг:
Цена: 84990.00 T
Наличие на складе: Невозможна поставка.
Описание:

Introductory Statistics, Third Edition, presents statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also to understand why these procedures should be used. This book offers a unique historical perspective, profiling prominent statisticians and historical events in order to motivate learning.

To help guide students towards independent learning, exercises and examples using real issues and real data (e.g., stock price models, health issues, gender issues, sports, scientific fraud) are provided. The chapters end with detailed reviews of important concepts and formulas, key terms, and definitions that are useful study tools. Data sets from text and exercise material are available for download in the text website.

This text is designed for introductory non-calculus based statistics courses that are offered by mathematics and/or statistics departments to undergraduate students taking a semester course in basic Statistics or a year course in Probability and Statistics.


  • Unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and context
  • Use of exercises and examples helps guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, scientific fraud.
  • Summary/Key Terms- chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study tools

Statistics: Principles and Methods, 7th Edition

Автор: Richard A. Johnson, Gouri K. Bhattacharyya
Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
Рейтинг:
Цена: 235790.00 T
Наличие на складе: Поставка под заказ.
Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.

Introductory statistics for health and nursing using spss

Автор: Marston, Louise
Название: Introductory statistics for health and nursing using spss
ISBN: 1847874835 ISBN-13(EAN): 9781847874832
Издательство: Sage Publications
Рейтинг:
Цена: 53850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Specifically written for students in the health sciences, this book covers simple statistical concepts and then shows how to analyse data using SPSS.

A guide to doing statistics in second language research using SPSS and R

Автор: Larson Hall Jenifer
Название: A guide to doing statistics in second language research using SPSS and R
ISBN: 1138024570 ISBN-13(EAN): 9781138024571
Издательство: Taylor&Francis
Рейтинг:
Цена: 91860.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Edition, Jenifer Larson-Hall equips readers with a thorough understanding and the practical skills necessary to conducting and interpreting statisical research effectively using SPSS and R, ideal for graduate students and researchers in SLA, social sciences, and applied lingustics.

Introductory Statistics

Автор: Ross, Sheldon M.
Название: Introductory Statistics
ISBN: 0128043172 ISBN-13(EAN): 9780128043172
Издательство: Elsevier Science
Рейтинг:
Цена: 110030.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Introductory Statistics, Fourth Edition, reviews statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also how to understand why these procedures should be used. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, an explanation of intuition, and the ideas behind the statistical methods.

Concepts are motivated, illustrated, and explained in a way that attempts to increase one's intuition. To quote from the preface, it is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data. Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions, and examples.

Applications and examples refer to real-world issues, such as gun control, stock price models, health issues, driving age limits, school admission ages, use of helmets, sports, scientific fraud, and many others. Examples relating to data mining techniques using the number of Google queries or Twitter tweets are also considered.

For this fourth edition, new topical coverage includes sections on Pareto distribution and the 80-20 rule, Benford's law, added material on odds and joint distributions and correlation, logistic regression, A-B testing, and more modern (big data) examples and exercises.



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