This text is aimed at students who may not like statistics but who need to understand the subject in order to complete their course or gain employment. It is a comprehensive but digestible introduction to statistics, guiding the reader through the number crunching of data analysis without memorising formulae. It is designed to help students understand the theory of data analysis. The text is divided into three parts - understanding data, preparing data for analysis and carrying out analysis - which link the stages of the data analysis process. Examples are used throughout and hints and warnings emphasise key points. This text is suitable for all students studying quantitative methods.
This book is a classic. It's written by a professor at the Vienna University of Economics and Business Administration (in the International Marketing and Management department) and a colleague of his. For statistics, this is the best book I've come across and the one that helped me the most.
It presents data analysis basics in an easily understandable format. It's not a well of detailed information. Rather, it shows the concepts you need to understand statistics and it is enough for anyone who wants to create a questionnaire and built data analysis on the findings.
If you work with statistics on a daily basis and are working on nitty-gritty details ... this is something you should already know. For a student and first time user however, it's ideal.
The approach to writing is very much like a US textbook - i.e. nicely chaptered, with many illustrations and extra boxes for the most important points that need to be highlighted. It's wonderful learning material.
(The general Austrian/European textbooks I came across are usually much more focused on details and tons of material that is presented in a way that is not as easily digestible.)