Customer Reviews:
Showing reviews 1-5 of 13
 This book kicks a**. August 3, 1999
31 out of 33 found this review helpful
I am a biochemist with a Ph.D. with a poor background in statistics. This is a very useful book that helped me learn to analyze basic biological data. It is easy to use, easy to read, and contains lots of clear examples. I use it every time I write a paper to make sure my statistical analyses are as thorough as possible. It contains lots of explanations of which test you should use and when to use them.
Best stats book out there without the errors of the 6th edition May 6, 2007
J. G. (CA USA)
4 out of 5 found this review helpful
The quickest, most accurate stats book out there. Warning: you must read it carefully, you can't really skim. That said, if you do read it carefully, even just the first few chapters, you will truly understand basic stats. Before reading this I didn't get significance or what a t-test really meant. Now I can speak the lingo and critically assess other authors work. Just a great book if you give it a few hours to sink in.
Get the 5th edition, not the 6th, for some reason the 6th is full of typos and errors in the examples.
Excellent July 16, 2009
Jared Becksfort
1 out of 1 found this review helpful
This is a great book. I went from knowing very little about statistics to being able to understand the statistics of research papers very quickly. I have seen a lot of complaints about errors, but I have not found many in the newest edition and printing that Amazon is currently selling.
Non-mathematical introduction to biostatistics March 29, 2006
Brant Inman (Somewhere out there)
6 out of 9 found this review helpful
This is not a treatise in mathematics. The author uses easy to understand examples to explain concepts. Other reviewers have noted typos that altered their learning experience; I have not. Other reviewers report that the presentation of ANOVA is not easily understood; I disagree. Statisticians that are used to the Fisher and Scheffé methods of explaining ANOVA will clearly find this different. I actually found it useful to present ANOVA before the T-test and to use the examples he did. Glantz's text on regression and ANOVA is also very good.
Outstanding text September 28, 2002
Erik Kulstad, M.D. (Oak Lawn, IL United States)
5 out of 9 found this review helpful
Truly one of the best bio-statistics books available. Should be required reading for all physicians!
Showing reviews 1-5 of 13
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