general

Often using real-life examples taken from the media, McClave presents materials in an orderly fashion. Sub-sections are small (usually 5-6 pages) and problem sets are very nicely divided into Mechanics, Basic, and Advanced problems. My only dislike was chapter 3 counting rules, which seemed to be added without proper foundation. As both a student and now a tutor of this text, I find McClave's level of explanation sufficent for an introductory text.

First of all I am not a statistics major and although I find statistics to be a very interesting but challenging subject I am afraid to say that so far I have not been very successful .... I need extra help and I have not yet found the solution manual for this textbook and I am amazed at the fact that there isn't one ? Can anyone help me...

Thanx

Norma_Zuniga@yahoo.com

Having taken an introductory college course that used this book up through most of chapter 9 (infrences based on two-samples using confidence intervals and hyopthesis tesing), I must say as usually happens in intro stat textbooks, the probablity chapter (3) is the weakest area, it needs more worded explinations on counting rules to clarify seemingly ambiguous situations. I've also heard professors complain that some of the examples used are over simplified and ignore obvious possiblities in the interpertations of results that add new dimentions to the problem. Not to mention the whole things needs a few more passes by some competent editors, as there's quite a few painfully obvious mistakes and misprints. Other than that, it's understandable enough, the applications problems are welcome, if occasionally flawed. For a more intensive introduction to general statistics, I suggest you seek a textbook that wasn't aimed at the widest possible market. (try the texts that say something like: statistics for engineers)