Practical Statistics

Edition: 1 Date: 03/11/2013 Price: £24.99 ISBN Paperback: 9780749468460 ISBN Ebook: 9780749468477 Pages: 184 Format (mm): 244x172 Product Category: Textbook Subject: Business Research « Enables readers and students to translate statistical data into comprehensive information « Supports readers at all levels of knowledge and experience through a two-level approach with ‘The essentials’ and ‘Tell me more’ sections « Encourages active distance and independent learners through case studies and simple explanations

Description

Practical Statistics is an introduction and reference guide for those studying business and management at postgraduate level, MBA students and professionals. It gives the reader a solid understanding of statistics without being too simple or mind-numbingly complex. It turns statistics, often perceived as being difficult and pointless, into something approachable and sensible.

John Buglear emphasizes the importance of working back from results rather than working out results. He starts the book with basic concepts that get increasingly more complex, from simple diagrams to multivariate methods, as well as using simple metaphors to aid understanding. The book has a two-level approach, with sections headed ‘The essentials’ and ‘Tell me more’ to support learning at all levels.

A rare book on business statistics that students and professionals can really understand, Practical Statistics supports active learning with use of applications and case studies, invaluable online learning materials and fully worked solutions to questions in the review section.

Author Information

John Buglear is Head of the Division of Management at Nottingham Business School. He teaches quantitative methods and basic accounting on undergraduate and postgraduate programmes. He has lectured in statistics, operational research and research methods on postgraduate international programmes: Azerbaijan (in collaboration with BP Exploration); the Czech Republic (in collaboration with PricewaterhouseCoopers) and Uzbekistan.

Table of Contents

Introduction 1 What you need to know before you start analysing data 2 Analysing univariate data 3 Analysing bivariate data 4 Analysing multivariate data with dependency 5 Analysing multivariate data for interdependency