Jun

17

One grows tired of not possessing a concise, very readable and practical text covering the majority of known statistical tests.

Despite the last edition being 10 years old, I believe that the book 100 Statistical Tests by Gopal K. Kanji is the very best book of its kind–period.

Each test covers no more than 2 pages. The author suggests when to use it, shows a practical worked example and some other info with tables in the back of the book.

If one wants more detail then a deeper text can be consulted elsewhere. But as a grab off the shelf, check the index for your test and then see how it is done tool, this book scores very highly with me.

William Hughes writes:

Here is a downloadable pdf link for the "100 Statistical Tests" book you were discussing.

Jeff Watson writes: 

In addition to that excellent book here is a great probability and statistics cheat sheet.  


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  1. Ferdinand on June 29, 2015 1:56 pm

    That’s fine, but determining which of the 100 statistical tests is appropriate and then applying it is typically the last 1% of the job, and can be handled with a quick google.

    In recent years, Hadley Wickham and others in the R community have made a great contribution by focusing on data acquisition and munging, typically 80- 90% of the job but underappreciated.

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