Customer Reviews:
Excellent book.......2007-07-15
This is the most lucid and well written stats book i have studied from. I used it's concepts and step by step procedures to write my masters report. Excellent book for any beginner in statistics.
Helpful.......2002-04-09
I did an independent stats class after being out of math for a long time, the book was very helpful and I could actually figure the formulas. It was great!!
Excellent.......2001-03-20
Very well written. Clear explanations of the subject matter with plenty of step by step examples. I highly recommend this book as it has significantly increased my understanding of statistics.
Stats made easy.......2000-08-30
It was a great learning experience, with Itroductory Statistics by Weiss Neil A. It is easy to understand and Statistics has never been easier.
Book Description
The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence, flexibility, and free availability. While it is a valuable tool for students who are first learning statistics, proper introductory materials are needed for its adoption. Using R for Introductory Statistics fills this gap in the literature, making the software accessible to the introductory student. The author presents a self-contained treatment of statistical topics and the intricacies of the R software. The pacing is such that students are able to master data manipulation and exploration before diving into more advanced statistical concepts. The book treats exploratory data analysis with more attention than is typical, includes a chapter on simulation, and provides a unified approach to linear models. This text lays the foundation for further study and development in statistics using R. Appendices cover installation, graphical user interfaces, and teaching with R, as well as information on writing functions and producing graphics. This is an ideal text for integrating the study of statistics with a powerful computational tool.
Customer Reviews:
Very complete introduction to statistics and GNU R.......2007-07-27
This is the perfect book if you are looking for a self-contained, practical introduction to statistics using GNU R.
It contains a lot of examples and exercises for reinforcing the contents. Very clear and organized presentation of topics. It assumes no previous background on statistics at all, and could be used as a complementary text for lab sessions.
It both explains GNU R commands and data types and provides a basic introduction to statistics theory, from a practical point of view. The last one, of course, may also be enhanced by your favorite book for introductory statistics, though it is not absolutely necessary to use this book.
Poorly organized and frustrating.......2007-07-23
In an introductory book, it is really important to present concepts in order. This book fails on this count. On more than one occasion, a concept (e.g., "trimmed mean") or a function (e.g., "range(x)") is mentioned without being defined, only to be presented as new later on. This is very frustrating and prevents a new student from working through the book fast. As some other reviewers remarked, the index is a complete disaster, which only makes this worse. It is nice that the book comes with a package of problems. The package lacks answers to most of these problems, though, so one can't check progress easily.
Look elsewhere.
best overall introduction to statistics using R.......2007-05-08
This book is an excellent introduction to basic statistics, not assuming a knowledge of calculus, using an intuitive "hands-on approach" using the free computer program R. Statistics should be learned with the fingers on a computer, not merely by memorizing formulas, so you do well to learn statistics with a book in one hand, sitting in front of a computer. John Verzani gives a gentle introduction to statistics using R.
For those unaware, R is a complete, very powerful statistics program that was developed in the 1990s based on an early language called S/Splus, created by John Chambers in the 1970s. S/Splus is an extremely powerful language for doing statistics / numerical research, and was developed explicitly for that purpose. It is far stronger than Matlab for statistical data analysis. R has a vibrant online community with hundreds of free add-on packages (available from the CRAN website). R has grown to be much more powerful than SPSS or SAS in recent years, and is becoming the tool of choice by the experts in the field. It's suitable for beginners too, but doesn't have the point and click style of simpler programs.
There are three main books that are introductions to R. One by Verzani (reviewed here), one by Dalgaard, and one by Crawley. Of the three, I find this one to be the best. It is the most clearly organized and has the best logical presentation of the three. It goes into the right amount of depth without getting bogged down. You can work through all the exercises in the book because the datasets are freely downloadable from the web.
Be sure to do as many of the exercises in the book as you can -- that will really help you to learn statistics well!
Great stater book.......2005-12-24
This is a great stater book for basic statistics.And for being used for 28 bucks you can not go wrong.
not my favorite book.......2005-09-29
This is my textbook for an introductory biostats course. The reason why the teacher picked this book is because the software, R, is free. I find that if I use this as an instruction manual to use R, it's okay. However, as a statistics book, I find it difficult to follow and the explanations are not as clear as some of the other books on the market (e.g. the Dawson book called "Basic and Clinical Biostatistics" which is much more palatable)
Book Description
Through five previous editions, Introductory Statistics has made statistics both interesting and accessible to a wide and varied audience. The realistic content of its examples and exercises, the clarity and brevity of its presentation, and the soundness of its pedagogical approach have received the highest remarks from both students and instructors. Now this bestseller is available in a new 6th edition.
Customer Reviews:
No solutions to the exercises is a fatal flaw.......2006-09-26
I have taught a basic statistics class many times over the last several years and the book that I used was "The Basic Practice of Statistics" by David S. Moore. Since I am always on the lookout for a better book, I examined this one. One positive feature was immediately obvious. This book was easier to read. Some of that may be due to the fact that it is approximately ¾ of an inch longer than the Moore book. It is also due to sharper contrasts and more effective use of color.
The coverage is standard; there are plenty of exercises although the authors commit what I consider to be a cardinal sin. There are no solutions to any of the exercises. In my mind, this is inexcusable, even if they are available on a companion website. Students work problems in many different locations and web access is often inconvenient and sometimes just impossible.
Sections on using the TI-84, Minitab and Microsoft Excel are included at the end of the chapters. While some people will find them helpful, they are in no means in the tutorial category. Devoting a page and a half to brief visual demonstrations of how to do one problem is to me a waste of paper and ink. My students would require more significant instruction if we were ever to use any of these options.
While the other features are strong, the lack of solutions to the exercises is an insurmountable hurdle to me. I will not be adopting it for use in the future. In my opinion, it would have been a better use of pages to include solutions to the exercises rather than the small sections on how to use technology.
Book Description
INTRODUCTORY APPLIED BIOSTATISTICS (WITH CD-ROM) explores statistical applications in the medical and public health fields. Examples drawn directly from the authors' clinical experiences with applied biostatistics make this text both practical and applicable. You'll master application techniques by hand before moving on to computer applications, with SAS programming code and output for each technique covered in every chapter. For each topic, the book addresses methodology, including assumptions, statistical formulas, and appropriate interpretation of results. This book is a must-have for every student preparing for a statistical career in a healthcare field!
Customer Reviews:
Price-less.......2006-03-11
Visually is unappealing. The examples and tests lack answers to corroborate whether your efforts paid off. It looks like your paying a bundle for a photocopy version of the book....
Book Description
R is an Open Source implementation of the well-known S language. It works on multiple computing platforms and can be freely downloaded. R is thus ideally suited for teaching at many levels as well as for practical data analysis and methodological development. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis. Peter Dalgaard is associate professor at the Biostatistical Department at the University of Copenhagen and has extensive experience in teaching within the PhD curriculum at the Faculty of Health Sciences. He was chairman of the Danish Society for Theoretical Statistics from 1996 to 2000. Peter Dalgaard has been a key member of the R Core Team since August 1997 and is well known among R users for his activity on the R mailing lists.
Customer Reviews:
Excellent resource.......2007-09-22
I bought this book a little over a year ago when a friend and colleague insisted I learn the R system for our collaborative work. I am not a professional statistician, but an engineer and researcher who needs and uses statistics in the course of my professional work.
I found this book approachable and informative from the non-professional perspective. (That is, from the viewpoint of a non-statistician.) I found enough examples to guide me through the process of bringing my datasets into the R environment, and then enough guidance to get me through the initial analyses necessary to make meaningful use of the statistical computations contained within the R system.
There are many other texts that treat the kinds of advanced statistics capability in the R system. Those are also necessary references for the non-statistician. There are also other texts on using the graphics subsystem present in R (which is substantial). Those references are also useful for preparation of reports and other written material.
But, this text is most useful as a primer for the system and is a first source on my shelf when I need to know the "how-to" of the basics. Then, if my needs are more substantial than those addressed by Dalgaard, I'll turn to other references.
Great for learning the language.......2007-03-23
If you have learned the stat concepts behind these procedures already, this is book is great. I think this book is very helpful for people who have had a few stat courses where the professor used a competing stat software package.
I really like how the author repeats some of the important syntax explanations throughout the book (for example, why attaching a data frame makes the syntax more concise). This approach makes it better than trying to learn R from the isolated html help files.
Introductory Statistics with R review.......2007-01-04
Excelent book. Help you with your R and with your statistics.
Extremely Good!!!!!.......2006-11-03
Theory, examples and graphics are in a state of the art!
I really like how the book flows between statistics theory and R commands. Graphics and examples are concrete and adequate.
I would like this book has a chapter about simulation (statistical validation) but I know is "Introductory"
I do really recommend this book!
A great place to start.......2006-06-17
After years of wrestling with R in mild hopes of being able to switch off of button clicking statistical packages, I finally decided to bite the bullet and buy some R books. This book was a perfect place to start. After reading it my frustrations have gone down considerably. This book along with the Venables Ripley book have made R my new toy.
Book Description
UNDERSTANDING SOCIETY presents a balance of classic and contemporary readings that you'll both understand and find intriguing. Like the Andersen/Taylor introductory sociology textbooks, this reader has a strong focus on diversity. Five themes run throughout book: classical sociological theory, contemporary research, diversity, globalization, and the application of the sociological perspective.
Average customer rating:
- NEW SECTIONS ARE REALLY USEFUL
- NEW SECTIONS ARE REALLY USEFUL
- Great Stats Book for Both Beginners and Pros
|
Introductory Statistics for Business and Economics, 4th Edition
Thomas H. Wonnacott , and
Ronald J. Wonnacott
Manufacturer: Wiley
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ASIN: 047161517X |
Book Description
This Fourth Edition includes new sections on graphs, robust estimation, expected value and the bootstrap, in addition to new material on the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real-life examples and are relatively self-contained, making adaptable to a variety of courses.
Customer Reviews:
NEW SECTIONS ARE REALLY USEFUL.......2001-04-13
I have done masters degree in MATHEMATICS with statistics optional and have done some management courses also. Here I am a PROFESSOR in a COLLEGE where students do B.SC. from LONDON university under EXTERNAL PROGRAM. One of the subjects I teach is "Elements of statistics". we prepared from this book,new sections were written in very simple way with technical examples and with graphs. My students last year got the DISTINCTION in this subject and this year I am also expecting DISTINCTION again from students. So I wanted to contact the auther and compliment the person. Finally as a teacher I would recommend strongly this book for the students of BSC. for "Elements of Statistics". this is a must read for the said subject.
NEW SECTIONS ARE REALLY USEFUL.......2001-04-13
I have done masters degree in MATHEMATICS with statistics optional and have done some management courses also. Here I am a PROFESSOR in a COLLEGE where students do B.SC. from LONDON university under EXTERNAL PROGRAM. One of the subjects I teach is "Elements of statistics". we prepared from this book,new sections were written in very simple way with technical examples and with graphs. My students last year got the DISTINCTION in this subject and this year I am also expecting DISTINCTION again from students. So I wanted to contact the auther and compliment the person. Finally as a teacher I would recommend strongly this book for the students of BSC. for "Elements of Statistics". this is a must read for the said subject.
Great Stats Book for Both Beginners and Pros.......2000-06-16
This is a great book for beginners because it's very well written and has easy-to-follow examples. If you're familiar with stats and only need something for reference, you'll find that this book is comprehensive, and has a great index.
Book Description
This mid-level book introduces and explains statistical concepts and principles clearly, assuming minimal mathematical sophistication but avoiding a "cookbook" approach. The book also presents a broader outlook on hypothesis testing by including such often-neglected concepts as statistical power, indices and other techniques.
Customer Reviews:
more helpful then my grad stats books.......2006-02-19
i love the way stats is explained in this book. it really makes life easier for me and helps me to grasp the theory and concepts behind ANOVA's , t-tests, etc....
i find myself constantly going back to this book for reference when my grad stats books were confusing...
really wish grad level books were this good...
If only, if only, zero stars were an option!.......2005-09-19
Now that we have heard from the instructors, let's hear from the students. This book it utter drivel. (If I thought I could get away with a couple other choice words, I'd use them!)
This book is being used in a doctoral level course. It is overly complicated, unrelenting in its overblown examples and does NOT explain statistics the way anyone needs to use them!
Additionally, this book could use a tutorial on SPSS. NO ONE calculates by hand anymore. (Or if they do, they are nuts and wasting good grant money!) The study guide that was put out with this book is complicated in the extreme, abysmal, explains nothing and assumes much.
Many other books do a better job at explaining Statistics for students who are paralyzed by the mere mention of the word. Instructors who use this book are doing their students a disservice. I would NEVER burden my students (yes, I teach undergrad and graduate level courses!) with any book so deadly. It's only too bad we can't sue the writers of these books and get our money back from them!
(FYI for all who are wondering: I figure I will finish the class with a B and take it gratefully after enlisting the help of a statistician, my husband and several other better reference books.)
It is the most understandable statistics book for beginners.......2002-05-14
I have been using this book in my statistics classes since 1990. It is so easy to understand for undergraduate students. Authors give really good examples to explain some complex subjects of statistics. These examples make the book more readable..
I would recommend this book........2001-05-09
This book was very informative. It explained things clearly and was useful in learning Statistics.
Book Description
Through five previous editions, Introductory Statistics has made statistics both interesting and accessible to a wide and varied audience. The realistic content of its examples and exercises, the clarity and brevity of its presentation, and the soundness of its pedagogical approach have received the highest remarks from both students and instructors. Now this bestseller is available in a new 6th edition.
Book Description
In this revised text, master expositor Sheldon Ross has produced a unique work in introductory statistics. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, and an explanation of intuition and ideas behind the statistical methods. To quote from the preface, "It is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data." Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions and examples.
* Ross's clear writing style leads students easily through descriptive and inferential statistics
* Hundreds of exercises assess students' conceptual and computational understanding
* Real data sets from current issues draw from a variety of disciplines
* Statistics in Perspective highlights demonstrate real-world application of techniques and concepts
* Historical Perspectives sections profile prominent statisticians and events
* Chapter Introductions pose realistic statistical situations
* Chapter Summaries and Key Terms reinforce learning
* A detachable Formula Card includes frequently used tables and formulas to facilitate studying
* Enclosed CD-ROM contains programs that can be used to solve basic computation problems
New in this Edition:
* Dozens of new and updated examples and exercises
* New sections on: assessing the linear regression model by analyzing residuals; quality control; counting principles; Poisson random variables
* Detailed edits and enhancements based on users' feedback
* A computerized test bank, plus updates to other ancillaries
Ancillaries:
* Instructor's Manual
* Student Solutions Manual (ISBN: 0120885514)
* Printed Test Bank
* Computerized Test Bank
* Instructor's web site with additional online materials
Customer Reviews:
Clear explanations but poorly edited.......2007-01-22
I bought this book for a university level statistics course. While the book has been helpful, I have been troubled by the vast number of editorial mistakes in the sample problems - wrong answers, incorrect data tables etc. Most textbooks have an error or two, but so far I have come across mistakes in every chapter.
Stats = Fun.......1999-08-03
With this excellently written, lively, and sometimes tear-jerking look into the basic principles of statistics, there is not a chance in hell your kids won't grown up to be rocket scientists.
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Introductory Statistics: Student's Solution Manual to Accompany
The Handbook of Technical Writing, Eighth Edition (Handbook of Technical Writing Practices)
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A First Book of ANSI C, Fourth Edition
Minitab Manual to Accompany Introductory Statistics Seventh Editon and Elementary Statistics Sixth Edition
