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SPSS for Applied Sciences:
Basic Statistical Testing

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SPSS for Applied Sciences: Basic Statistical Testing, by Cole Davis

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Reviews of this book

"This is the best statistics book Iíve ever read! Cole leads the learners nicely and quickly through everything they need to know in order to get the job done. It is so well written that one can simply do an advanced statistical analysis just by reading it and following the SPSS screenshots. Without this book it was much harder, almost impossible to learn how do to it by yourself.

"The book also contributes a lot to an understanding of the subject. Written in a very clear and practical way, this will suit first degree students perfectly, but statisticians as well, as some advanced statistical analyses are there too. I have learned a lot from his book and will use much of it along my professional path."
Ofra Reuven, statistician and data analyst

"This book is long awaited medicine for those who find statistics opaque and pointless. Cole Davis has produced a most splendid book that combines rigorous explanation, relevant application and exercises for readers to practise their newly learnt skills. It is most unusual to find a book on statistics that combines clear exposition with humour but here the reader finds both. Reference to 'Red Balloons' and 'Badgers' within the first 11 pages demonstrate that the author has gone to great effort to put the reader at ease by using joyous symbolism. How many other statistics books do that? None that I have read. I await further publications with eagerness."
Nick Jones, Bournemouth and Poole College

"I feel totally out of my depth whenever someone mentions anything to do with statistics or statistical testing. But Cole Davisí book is invaluable to the likes of me and anyone who is at an intermediate level. It will definitely give you confidence and enable you to extend your expertise in scientific surroundings. Techniques acquired after reading this book will be of enormous benefit to you."
Kerin Freeman, scientific editor

"This book is important particularly to those who wish to use SPSS as an analytical tool from the beginning. Cole Davis contributes significantly to the understanding of statistics; the clarity of his writing, his ability to explain statistical nuances shines through."
Steven Chan, Professor of Surgery, The University of Melbourne

"Cole Davis presents the clearest explanations for the concepts underlying the most useful statistical tests. He provides great guidance on the steps required to perform the tests, and the justification for these steps. His writing flows yet he does not pass over difficult ideas with jargon, as is often the case with statistics books. Rather he supplies the reader with useful analogies and comparisons in everyday language that aid understanding.

"His book is the missing link when going from learning about statistical concepts to actually applying those concepts to real data. Even for someone with advanced experience in statistics, this book is a great reminder of the foundations of statistical analysis that can get taken for granted and cause confusion in the academic literature.

"I recommend this book not only to people doing statistics, but to everyone because a basic understanding of statistics and data are becoming essential to being a literate person in the 21st century. Understanding probability, data and statistical analysis can create the necessary mental tools people increasingly need to navigate our complex data-driven world."
Andrew Smart, neuroscientist and author of Autopilot

"While there was no mathematics in the book it is a very a good desk reference for students and experienced statistics users, or interested laymen to get an overview of basic statistical analysis. In my case I feel that I could use the software now and might even play with it at some point for trade studies of complex systems (systems engineering). That discipline relies many times upon ordinal data and yes/no-good/better/best data to pick the preferred approach to analysis of the cost-technical-schedule problems of systems engineering."
Mick Macartney, defence and aerospace engineering