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Title: 100 Statistical Tests
ISBN: 141292376X
Author:   Gopal K Kanji
Publicate Date: 2006-08-07
Publish: 2006-08-07
List Price: $41.95
Average Customer Rating: 4.5
Format: Paperback
Amazon Lowest New Price: $36.67
Amazon Lowest Used Price: $36.00
Amazon Merchant Price: $37.75

Customer Review:

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

2: -I bought this book by curiosity in order to know more ...-
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.

3: If you have the data but still can't explain your conclusion
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.

4: Very Succinct, Efficient, Applicable & Effective!
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!
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