Customer Reviews

100 Statistical Tests

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This reference text gives busy people at work exactly what they want, the way they want it. They know their data needs, so they look up the clear list of tests to find the test that meets that need, and follow the simple steps to implement it: assumptions, method, equation, and a brief example. No theory, no blabbing, just to the point and ready for use. Saves time, and reading. Also, having so many tests saves the hassle of looking for a specific test somewhere in the library. This is a complete investment!

A very useful general reference; even thick textbooks usually list only a subset of these tests -- and not in a uniform reference.

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

I bought an earlier edition of this text ten years ago. I've found it to be extremely useful. The tests are clearly explained with just enough information to be sure they are correctly applied and properly interpreted. The numerous tables in the back of the book assure that the right sampling distribution is used with each test. I don't use the book every day or even every week, but it's good to know it's there when I need it. Occasionally I leaf through it just because it's fun to do so. Money well spent!

Nice book to find out of the way stat tests for engineer and design related efforts. Also for process control and clinical testing.

Aucune démonstration mathématique mais ouvrage infiniment utile à avoir dans sa bibliothèque. Il y a effectivement 100 tests, avec des exemples complets, hypothèses de travail explicitées et interprétation des résultats. Que du bonheur! Le livre est relativement coûteux mais l'achat en vaut vraiment la peine.

This was a required text for me at Walden University. I have not only used it in academia but in business, also. The range of possible statistical test which can be used is daunting to the non-statistician. If you are doing or reading research, look up the statistical test used in this book for a better understanding.

I work in R&D for a manufacturer, have had some introductory training in statistics, 6 Sigma, etc. I usually use statistical tests with great trepidation, wondering if I had selected the wrong test or if there was some invalidating condition present in my data which would cause me to come to the wrong conclusion.

"100 Statistical Tests" goes a long way towards de-mystifying the purpose and assumptions for commonly applied statistical tests, e.g. all of the tests in the Excel Data Analysis add-in. The worked examples for each test are very helpful and practical, and there's a nice table in the front to help select the best tests for many common situations.

then this book is for you. Do you want to know if you were discriminated against, at some confidence level? Do you want to know if the moon phase affects the NASDAQ? If Bush High School seniors score an average of 74 and Gore High School seniors score an average of 73, is Bush High really statistically better than Gore High? These are just a few of the millions of tests that can be done with this book. If you believe in the saying, "In God we trust; all others bring data," then you'll love this book, especailly if you can force your peers to use it.

One day I was obliged to abandon my course, the second of a suite of two course on Statistics, in a university and I was kind of curious to see how tests and statistical software applications evolved since Internet and software applications are now spread everywhere and in schools because I would still want to complete this course.

I did not read this book entirely but I am rather amazed to see that some educators At LEAST understand that how-tos explained step-by-step are important when studying in a university because much work and readings have to be done in shorter time periods and there is less time to think of how to realize tests, claculations and whatever can be demanded by teachers. I am satisfied but cannot say more opinions for now.