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An Introduction to Statistics using Microsoft Excel
By Dan Remenyi
George Onofrei Joseph English “I highly recommend this book to researchers who are keen to use statistics but who have had difficulty doing so due to their lack of understanding and inability to use statistical packages. It is written in a simplified fashion making statistics accessible to anyone.” Prof Joan Ballantine, Department of Accounting, University of Ulster
“Remenyi et al. make significant inroads into demystifying statistics. Their book is concept- and practice-driven rather than tool-driven. They show that a familiar tool such as Excel is capable of handling many of our day-to-day statistical problems, and it sets the foundations for moving to more specialised tools when justified.”
Dr Paul D.R. Griffiths, Partner, The Birchman Group, Affiliate Professor, Catholic University Lima
“This book provides an excellent introduction to statistics without pain! Clear and concise with instructive exercises and examples taken mainly from the social sciences. This book will get you started quickly and, more importantly, help you to understand the underlying principles, analyze your data and get results. Highly recommended.”
Prof Brian Williams, South African Centre for Epidemiological Modelling and Analysis
“A vital resource for our postgraduate dissertation students who use Excel.”
Prof Ashly Pinnington, Dean Faculty of Business, The British University in Dubai
“Finally, a tutorial which brings to light Excel's power as a statistical research tool. Students and researchers wishing to bring a quantitative approach to their work, would benefit by this straight forward read.”
Prof Neil Hunt, Suffolk University Boston
“This book is excellent for anyone new to quantitative research. It provides both the statistical concepts and the tools to make the concept real. By using Excel, a tool that most are somewhat familiar with, the emphasis can remain on the concepts without added challenges associated with mastering the tool.”
Prof Marguerite Cronk, Harding University, Little Rock, Arkansas
ISBN 978-1-906638-55-9
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