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100 Statistical Tests, by Gopal K Kanji
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This expanded and updated Third Edition of Gopal K. Kanji's best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. Each entry begins with a short summary statement about the test's purpose, and contains details of the test objective, the limitations (or assumptions) involved, a brief outline of the method, a worked example, and the numerical calculation. 100 Statistical Tests, Third Edition is the one indispensable guide for users of statistical materials and consumers of statistical information at all levels and across all disciplines.
- Sales Rank: #439425 in Books
- Color: Paperback,
- Brand: Brand: SAGE Publications Ltd
- Published on: 2006-08-07
- Released on: 2006-07-18
- Original language: English
- Number of items: 1
- Dimensions: 9.51" h x .58" w x 6.68" l, .97 pounds
- Binding: Paperback
- 256 pages
- Used Book in Good Condition
Review
'This is a very valuable book for statisticians and users of statistics. It contains a remarkable number of statistical tests which are currently available and useful for practical purposes' - Statistical Papers
"Although very practical for teachers and students of statistics, practitioners will also find this useful as a quick reference." (SciTech Book News 2006-12-05)
About the Author
Gopal K Kanji, Emeritus Professor of Applied Statistics at Sheffield Hallam University, is also a founder editor of the two international journals namely, Journal of Applied Statistics and Total Quality Management. With a career spanning 37+ years in the field of statistics and quality teaching, publishing journals and books, writing technical papers and presenting research findings around the world, he is a true teacher, trainer, researcher and innovator and consultant.
More than 90 research papers and 15 books in Statistics and Total Quality Management have been published by him. He has been a very active member of the American Society for Quality (ASQ) and a promoter of ASQ in the UK. Recently, he was appointed as Vice Chair of the International Chapter of ASQ for Europe and the Middle East. He has presented papers at the Annual ASQ Congress. He is a fellow of the Institute of Statisticians, the Royal Statistical Society and member of the International Statistical Institute (ISI). He is Academian of the International Academy for Quality (IAQ). He has been teaching and consulting in different parts of the world, and as chairman, has helped to develop a European Master programme in Total Quality Management under the umbrella of EFQM. He has also supervised many PhD students in TQM and Applied Statistics.
Since 1995, he has organised World Congresses for Total Quality Management at Sheffield Hallam University, UK and other European countries. He has acted as a technical expert for the development of the European Customer Satisfaction Index. Recently he introduced a Business Excellence Model to measure stakeholders’ satisfaction within the organisations.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Another good stat book
By Amazon Customer
Nice book to find out of the way stat tests for engineer and design related efforts. Also for process control and clinical testing.
0 of 7 people found the following review helpful.
I had to buy this for school...so I hated it!
By Bryan Lasater
I had to buy this for school...so I hated it!
4 of 4 people found the following review helpful.
Enough Flaws to Prevnt me giving 5 Stars
By D. R. Pitts
I would have liked a more cookbook step by step approach working from the raw data (similiar to the excellent Experiment, Design and Statistics in Psychology by Colin Robson). Many of the examples start from already claculated statistics. However there are typesetting errors in some of the worked examples (see page 121 for example) - consequently we cannot take any of the calculations at face value)
I would have liked to have seen a better way of navigating through the test, how to select between similar test and how they are likely to give different results. The index is poor.
Finally I would guess that most people are wanted to use these test in Excel, so Publishing tables of P vales Is not the best way - I would have liked a section on how to duplicate these results using Excel.
Having said that however Its a Valuable reference - but requires thoughtfull review - the tests are not that accessible
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