Автор: Richard A. Johnson, Gouri K. Bhattacharyya Название: Statistics: Principles and Methods, 7th Edition ISBN: 0470904119 ISBN-13(EAN): 9780470904114 Издательство: Wiley Рейтинг: Цена: 35369.00 р. 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.
Автор: Graham, Alan Название: Teach yourself statistics ISBN: 0340966165 ISBN-13(EAN): 9780340966167 Издательство: Hodder Arnold Рейтинг: Цена: 1582.00 р. Наличие на складе: Нет в наличии.
Описание: Nearly all aspects of our lives can be subject to statistical analysis. Teach Yourself Statistics will show you how to interpret, analyse and present figures.
Автор: Pelham Название: Intermediate Statistics ISBN: 1412994985 ISBN-13(EAN): 9781412994989 Издательство: Sage Publications Рейтинг: Цена: 18058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A student-friendly text which enables students to appreciate the logic of descriptive and inferential statistics, and understand which techniques are best suited to which kinds of data or research questions
Автор: Watkins Название: Student Solutions Manual Statistics 2e ISBN: 047053060X ISBN-13(EAN): 9780470530603 Издательство: Wiley Рейтинг: Цена: 7120.00 р. Наличие на складе: Поставка под заказ.
Описание: This book teaches statistics in a modern, data-analytic approach that uses graphing calculators and statistical software. It allows more emphasis to be put on statistical concepts and data analysis than on following recipes for calculations.
Автор: Lewis Margaret Название: Applied statistics for economists ISBN: 0415554683 ISBN-13(EAN): 9780415554688 Издательство: Taylor&Francis Рейтинг: Цена: 11023.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is an undergraduate text that introduces students to commonly used statistical methods in economics. Using examples based on contemporary economic issues and readily available data, it not only explains the mechanics of the various methods, but also guides students to connect statistical results to detailed economic interpretations. Because the goal is for students to be able to apply the statistical methods presented, online sources for economic data and directions for performing each task in Excel are also included.
Автор: McKillup Название: Statistics Explained ISBN: 0521183286 ISBN-13(EAN): 9780521183284 Издательство: Cambridge Academ Рейтинг: Цена: 5702.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Uses a clear and encouraging reader-friendly approach to help students improve their confidence in designing experiments and choosing appropriate statistical tests. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. End-of-chapter exercises, new to this edition, allow self-testing.
Автор: Hanna Donncha Название: Psychology Statistics For Dummies ISBN: 1119952875 ISBN-13(EAN): 9781119952879 Издательство: Wiley Рейтинг: Цена: от 1006.00 р. Наличие на складе: Есть
Описание: The introduction to statistics that psychology students can`t afford to be without Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise.
Автор: Consumer Dummies, Anderson Alan Название: Statistics for Big Data for Dummies ISBN: 1118940016 ISBN-13(EAN): 9781118940013 Издательство: Wiley Рейтинг: Цена: 2691.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Does the subject of data analysis make you dizzy? This book features introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programming languages. It helps you to identify valid, useful, and understandable patterns in data.
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