The first characteristic of this book is the skipping of difficult theories, starting directly with typical examples, and the working out of the answers clearly by computer software. The aim is to help readers to be able to solve basic statistical problems in various Common Experimental Designs as soon as possible, and to be confident to run the tests and interpret the computer output, without being hesitated by the starting with large amount of difficult theories behind. This book has been reviewed by some experts as ‘…very practical, illustrative and directive, and is very useful for both practitioners and those who perform statistical analysis in experimental designs…’ On the other hand, there is a general belief that after getting a significant Anova result, using the built-in ‘Analysis TookPak’ Excel Add-In, nothing can be done further to find where do the differences exist, and we must use large packages such as SPSS to complete the job! However, we find that this might not be absolutely true. We can often find similar results as using SPSS by combining the overall Anova results with a few, simple, manual steps introduced in this book!
Cheng Ping Yuen ??? (Senior Technician, the University of Hong Kong) Bachelor of Life Science (BSc), Napier University, UK Master of Public Health (MPH), Hong Kong University Certificate of Hong Kong Statistics Society (HKSS) Fellow of British Royal Statistician Society (RSS) Microsoft Certified Professional (MCP) Hong Kong Registered Medical Technologist (Part I)