I was glad to get the book in good condition. Came in about 2 weeks which is great cause I ordered standard shipping. I was also notified at every stage such as dispatch and shipments.

I'm satisfied with fast delivery as well as good condition of the book. Thanks a lot!!

the book is very good on application, no proofs, which is fine since the book doesn't try to be all things, BUT i am a bit disappointed at the number of typos for a book in its 5th ed. i'm just finishing the 4th chapter (skipping ch 1 & 2, so basically i've only read 2 chapters so far) for a class and have found the number of typos in the exercises to be quite annoying (especially for a text in its 5th edition!).

the text exercises make heavy use of prior exercise such as 4.xxx says see the prior exercises and that exercise says see another exercise ... is tolerable, but when in the course of chaining exercises one exercise references an exercise in error you start scratching your head and quickly become annoyed.

also, the students solution manual, which has been very helpful, is sometimes provides the different graph than requested in the text. eg. the text ask you to create a histogram and the solutions manual uses a normal probability graph. this isn't too big a deal, but it leaves you with the impression that changes were made to say the text exercises, but not updated in the solutions manual.

again, a good book, especially for those with minimal math background, but for the cost of the text and being in its 5th ed, the number of typos is a bit annoying.

this book is amazing good. although lack of proofs, the application side of the book is immense. Toones of good real life examples and things are explained in a very clear and simple way. Very easy to understand and in great details.
Must buy if you really interested in the application side of statistical methods which everyone should.

We used this as our primary textbook in a graduate psychology / consumer behavior research methods / data analyis class, and I found it to be an invaluable aid in statistical analysis. From simple measures such as z-scores, t-tests & f-tests, and chi-squares, to more in depth methods such as GLM, ANOVA, and regression, this book is clear and concise. While it can be slightly cursory at times as to the theoretical underpinnings underneath the data analysis methods being used, it is a very helpful book in understanding how to actually make the methods work, and more importantly, knowing which method to apply in which situation.

Untill Prof. Lattin releases his statistical analysis book for behavioral students, Ott's book is the #1 stat resource on my bookshelf.