5 stars (I used this book for an online stats with ease.) - I did not have the luxary of an instructor guide me through problems and have my questions clarified in class. I took the class online and I had no problem inderstanding how to wrok out the problems. It goes into detail on how to work out problems and gives examples step by step. There are also a lot of practice problems in the text with odd numbers answered for review. The CD in also a great learning advantage with some of the chapters with E-professor. Excellent to walk you through your stats course. 5 stars (Excellent Statistics Book) - Excellent college book and I intend to keep this in my library for future reference. This book was well done for the beginner and some advance users. This book covers many step-by-step solutions using excel and the "TI83 calculator." ... McGraw-Hill Science-Engineering-Math :: Science&Mathematics :: Probability & Statistics - General :: Mathematics :: Mathematical Statistics :: Allan Bluman :: Allan G Bluman :: :: MP- Elementary Statistics with CD-ROM
4 stars (Very good for first-time learner of statistics) - I agree with the previous reviewer Jason --- this book is very good in helping a first-time learner understand statistics applied to real-life situations. Usually university teachers don't make good choices for course textbooks but in this case, this book is absolutely the most correct choice. 5 stars (take another look) - This introductory statistics book is unlike any other I read, so it is understandable why it received negative reviews. First off, it deals with "the practice" of statistics, so don't expect mathematical explanations of the statistical analyses presented. Second, it thoroughly explains the conceptual basis and applied aspects of statistics, so don't be surprised if it is a bit more wordy or repetitive than other statistics books. Reenforcement is necessary when learning a new language, and it doesn't assume mathematical formulas are understandable without explanations. Its highlight is its coverage of collecting data. Most statistics books don't even mention how data is collected, or should be collected; they only show you how to analyze it. General principles of sampling and experimentation are licidly covered, as are the implications of using these two fundamentally different approaches to research. The second strong point of this book is its general overview of statistics. It shows how different analyses are used for different types of data (categorical vs. quantitative), although the general premise is the same--relationship between variables. Finally, it makes a connection between real data and theoretical distributions. Most statistics books start off saying, "assume the data follow a normal distribution" but real data never does. Moore and McCabe explains how we can use a mathematical formula to model our real data, and the advantages and limitations of doing so. This is the bridge necessary to place the theoretical world of probability and mathematical statistics into the real w... W H Freeman - Company :: Probability & statistics :: Science&Mathematics :: Probability & Statistics - General :: Mathematics :: Mathematical statistics :: George P McCabe :: David S Mo :: Introduction to the Practice of Statistics (Introduction to the Practice of Statistics)
5 stars (Good text overall) - In my opinion this is one of the best texts for introductory statistics. It contains a lot of useful material and is nice to read quickly since important formulas are highlighted. Examples are also helpful to learn the material. The only problem is that sometimes the excercises are too much of a real-world kind, which can be annoying if your course is theoretical. Still, I think that this book is always nice to have around in case you forget some things on probability or stats. 2 stars (Look elsewhere if you're looking for a rigorous text.) - If you like applications and problem sloving, pick it up--it's loaded with it. But if you're looking for a book with a strong theoretical foundation, look elsewhere. Quite often my professor would see it fit to do a "more general case" or a "more rigorous proof." I found the examples and motivations to be weak and not very helpful, and the proofs to be kind of a joke. I often felt like I was reading a freshman calculus book while reading this one, as it's been a while since I read a math text that hi-lited definitions and theorems... 3 stars (This book is more theoretical.) - This book simply does not have enough worked out examples. This book is more theoretical than applied. I personally favor applied books more. I purchased Probability for Risk Management by Hassett and it is a lot more "hands on." It explains what you need to know in a few paragraphs whereas Wackerly takes pages to say the same thing. Granted, if you're looking more for theory, go with Wackerly's Mathematical Statistics. If you're looking to pass an actuarial exam, Hassett is undoubtedly the way to go. ... Duxbury Press :: Mathematics & Statistics :: Statistics :: Science&Mathematics :: Probability & Statistics - General :: Mathematics :: Mathematical statistics :: Applied :: Richard :: Mathematical Statistics with Applications
4 stars (Excellent Introduction) - I just completed a SAS course that used this book. I never used SAS before and found the book to be very useful and informative. The authors show you how to use the built in SAS procedures and provide basic guidance on how to interpret the results. It has a numerous examples which really helped me learn the basics about running t-tests, ANOVA, and regression. Notes: (a) The book does not cover every option available with the SAS procedures - this is actually good in an introductory book because it keeps the reader from getting confused. Don't buy the book expecting a technical programming manual. (b) The book does not cover macro programming (c) the book does not cover the more professional looking graphics procedures e.g. gplot 1 stars (A once great book whose time has passed) - Once upon a time, I could not recommend this book highly enough. That's the problem--"once upon a time". In 2004, this book violates what I consider an overriding consideration for instruction books: Never distract the new user with picky details that s/he'll will rarely need in practice. The first few chapters are written using INPUT and DATALINES; commands to enter data. For those unfamiliar with SAS, that means the authors enter all of their data as lines of text typed inside their command language. No one works that way any more! It's a hold over from the days of punchcards. Does the new user really need to know that INPUT ID 1-3 AGE 4-5 GENDER $6; means "look in columns 1-3 for a numerical id, columns 4-5 for numerical age, and column 6 for a character designating gender"? When the 4-th edition was written, the answer might have been yes, but even then it would have been given grudgingly. For more than a few years, data almost always arrive as data sets that have already been made into SAS files or as spreadsheets that can be imported directly into SAS. This method of data input would not be a fatal flaw if the material were in a later ch... Prentice Hall :: Mathematics & Statistics :: Science&Mathematics :: SAS (Computer file) :: Probability & Statistics - General :: Mathematics :: Mathematical statistics :: Data pro :: Applied Statistics and the SAS Programming Language (5th Edition)
5 stars (It is an excellent textbook. Strongly recommended!) - [1] It is a very very good textbook of frequentist statistics, well self-organized. [2] The mathematics is precise and clear. [3] Anyone who is interested in the classical statistics may need such an excellent reference at hand. [4] If you decide to buy it, you'd better to check the website http://www.campusi.com/, where sometime you can find a surprise. 4 stars (Explains many topics well, where others fail) - This book was the recommended companion to my math stat's required textbook. In almost every case where I didn't understand the explanation given in lecture or in the main textbook, I could understand this book's explanation. I cannot vouch for the entire textbook, but I would not have understood MLE without it. The one star missing is because of the book's tendency to mention earlier sections of the book, which was frustrating since I was using it as a reference. Incidentally, I used this edition, but I didn't pay even close to the price here, so definitely comparison shop. 4 stars (A Good Book) - Overall, this book is a solid introduction to mathematical statistics. Exposition is clear and it fully motivates all concepts. I really only have one complaint: this book omits a few topics. A relatively minor example is the absence of the cumulant generating function. More disturbingly is that it does not have a full discussion of the multi-normal distribution (possibly to avoid some non-trivial linear algebra?). However, being that the book is otherwise quite complete and these topics can be found elsewhere these are rather annoyances than fatal flaws. ... Duxbury Press :: Mathematics & Statistics :: Science&Mathematics :: Probability & Statistics - General :: Probabilities :: Mathematics :: Mathematical statistics :: Roger L Berge :: Statistical Inference
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