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This book offers readers huge support in relating theoretical concepts with practical issues. The authors take a caring approach and have a good understanding of what many business students need the most.
This book is taking the challenging and making it understandable. It contains useful advice on the application of statistics to a variety of contexts. I particularly like the focus on decision making and the point that understanding statistics can be useful for managers and help you in your work.
It is a technically well-written thorough text and at the same time easy read, which I am sure will be appreciated by both students new to SPSS and the professionals who need a quick refresh. The book covers the main theoretical concepts in enough depth to be used at both undergraduate and postgraduate levels (especially on MBA and DBA programmes), and at the same time supports the development of the skills needed to use one of the most widely used statistical programmes, not only in the business, but also in other social science disciplines.
Quantitative data analysis is explained in a very informative way that is easily comprehensable for many students who are new to research.
It is quite easy for students to follow and also contains useful material for them.
useful resources and easy to read
A very good starting place for under and postgrad students. Often complex concepts are explained in a plain language making it user-friendly. Highly recommended and already adopted in our courses.
This is an excellent book which we will recommend to students and I have suggested be bought for the library.
The book covers such a range of topics and is for my class too much focussed on business aspects that I would only confuse my students who are starting very fresh in their career as Sociology students.
Clear and comprehensive.
I am using the book for the course datamining with SPSS, but it didn't cover allthings we need in this course.
Often, SPSS or Statisttica appear to be the exclusive applications to deal with large amounts of data. However, doing statistics with Excel is an alternative, at least for smaller sample sizes (below 9.000). Just, until now, related literature was missing and teaching methods on this level was just good enough for volunteers. The book offers an opportunity to hand it over to students when starting to work on their theses. Thanks to the author.
Good book, but too involved for the work required
An easy to read and interpretation of Statistics. Clear and concise. Some good tips and recommendation. Examples very simple to follow. Beginner level of stats.
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