Average customer rating:
- Fantastic book!
- Stats and Andy Field
- Easy Read and Comprehensive too
- Outstanding Source for SPSS
- Better than any graduate level statistics course I have taken
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Discovering Statistics Using SPSS (Introducing Statistical Methods S.) (2nd Edition)
Andy Field
Manufacturer: Sage Publications Ltd
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ASIN: 0761944524 |
Book Description
Get the Statistics Book That's Sweeping the Nation!
Appropriate for All Levels--Undergraduate to Doctorate Programs in Every Discipline!
This new edition of Field's bestselling textbook provides students of statistical methods with everything they need to understand, use and report statistics - at every level. Written in Andy Field's vivid and entertaining style, and furnished with playful examples from everyday student life (among other places), the book forms an accessible gateway into the often intimidating world of statistics and a unique opportunity for students to ground their knowledge of statistics through the use of SPSS. The text is fully compliant with the latest release of SPSS (version 13).
Key updates in
Second Edition:
- More coverage with completely new material on non-parametric statistics, loglinear analysis, effect sizes and how to report statistical analysis
- Even more student-friendly features, including a glossary of key statistical terms and exercises at the end of chapters for students to work through, with datasets and answers to chapter exercises on the accompanying CD-ROM
- A larger and more easy-to-reference format: notation in each section identifies the intended level of study while the new 2-color text design enhances the features in the book and, together with the larger format, provides extra clarity throughout
- A companion website is available at
www.sagepub.co.uk/field, containing resources for both students and instructors: a testbank of MCQs for students to test their own knowledge; online glossary in flash card format; multiple choice questions and answers to use for class assessment – available on restricted access basis to instructors via entry password; and PowerPoint Slides of all formatted artwork in the textbook for instructors to include in their own lecture slides.
Andy Field is a Senior Lecturer in Psychology at The University of Sussex, U.K. where his success in making statistics accessible was recognized with a teaching award in 2001.
"The Second Edition of Andy Field's
Discovering Statistics Using SPSS is an excellent book and a valuable addition to the teaching of statistics in the behavioral sciences. The title of the book accurately reflects the approach taken. This is not simply a primer on how to use SPSS, but is a very good statistics text using SPSS as a vehicle for illustrating and expanding on the statistical content of the book. At the same time it also serves as a manual for SPSS, and has taught me things that I had not known about the software. I find this flexible approach to the blending of content and software to be an effective way of teaching the material. It is impossible to review this book without commenting on Andy's particular style. I enjoyed it immensely and think that it would appeal to both students and their instructors. It is refreshing to see someone who doesn't take himself too seriously."
-- David C Howell, Professor Emeritus,
University of Vermont
Customer Reviews:
Fantastic book!.......2007-09-30
I could not have lived through my dissertation without this book. It finally helped me to conceptually understand statistics.
Also,(many of) his jokes are belly-busting funny. I used one humorous musing in my oral defense about Fisher's alpha levels:"I wonder how different my career would be if Fisher had woken up that day in 90% type of mood."
Stats and Andy Field.......2007-08-19
Andy's book is an excellent aid in learning statistics. If you want the executive summary (aka cliff notes), Andy provides sections where you can get a quick overview of a specific test. If you want the details, Andy provides those also in his book.
I used his book to help me in my doctoral quest, when I was in my second statistics class as a supplemental text. However, it is of a quality that any person seeking to learn more about stats will come away with knowledge of how stats can help us know more about the world in which we live.
Easy Read and Comprehensive too.......2007-08-04
In my job, I often train others how to use SPSS. This book comes up in conversation a lot. It is outstanding. I have come to the conclusion that if a serious user of SPSS's statistical features is to get only one reference; this is it. Something I have noticed is that when I meet someone that has spent time with the book, the are invariably quite good at SPSS. Even if they may not have mastered all the techniques in this large book, they know their stuff.
The Pallant book SPSS Survival Manual, which I have also reviewed, is designed to help survive a first course (and presumably last) in basic statistics. The Field book, however, could be revisited again and again, each time reaching a deeper understanding.
I already know the statistics in this book well, so I can't claim that this book has taught me the basics, but it simultaneously covers all the major topics of interest while keeping it as simple as possible. I wish I had existed earlier in my career. The main advantage to users of SPSS is that all of the examples are SPSS examples. However, make no mistake, this is a serious introduction to statistics, not merely a point and click guide. It is not current with version 15.0, but I don't think this is a major strike against it, given the excellent review of theory. If, however, you really need to keep up on the current features like I do, you will want to consider books in addition this one. Consider one or more of the three Norusis books depending on your level and needs.
Outstanding Source for SPSS.......2007-07-15
This is one of the best statistics and SPSS guidebooks that I have seen. I believe that it can be very useful for novice to expert. It is both technical and conceptual and can function as a textbook for statistics as well as an operational handbook for navigating through SPSS. Although it is based on SPSS 13.0, I have found it to be quite applicable to the SPSS version 15.0 that I am using. This book is an invaluable source for the completion of my doctoral dissertation and I would highly recommend it for the student or advanced statistician! B. Cliff, PhD Candidate, Western Michigan University
Better than any graduate level statistics course I have taken.......2007-06-14
I am a 4th year PhD student and wish I had discovered this book earlier. It is far better than any of the graduate level statistics course I have taken, and definitely better than any of the textbooks I have seen. In fact, I have thrown out all my other statistics textbooks - this is the only one I need. Aside from explaining the theory in an easy to understand way, Andy Field provides the practical aspect that no other texts or courses do (or, if they do, they fail to link it to the theory). Field shows you how to use SPSS to implement the theory in an easy, step by step way; he even tells you how to report the results in APA format. Don't waste your money on any other statistics textbooks!
Book Description
As the SAS© programming language continues to evolve, this guide follows suit with timely coverage of the combination statistical package, database management system, and high-level programming language. Using current examples from business, medicine, education, and psychology, Applied Statistics and the SAS Programming Language is an invaluable resource for applied researchers, giving them the capacity to perform statistical analyses with SAS without wading through pages of technical documentation.
Includes the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write up results for reports and journal articles. Illustrated with SAS Graph™ output. Provides readers with ample models for developing programming skills.
For anyone interested in learning more about applied statistics and the SAS programming language.
Customer Reviews:
Poor book.......2007-03-20
I hoped more. It is a very basic book, with elemental examples and no clear directions on the best use of SAS.
Great for real life applications.......2007-01-01
Great book.. It is a great asset to my SAS library.
Too much unecessary detail about reading in data.......2006-11-10
Theres just too much unecessary material in this book about ways to read in data etc. Its all unecessary cos like myself most professional analysts and statisticians have access to SAS enterprise guide, which is incredibly powerful and so much less time consuming. The programming language is only useful for algorithms these days, as most professionals havent got the time to be debugging code all day. The text covers nothing about cluster analysis either which is central to a lot of multi variate analysis.
The mathematics and statistical detail is of far more interest and importance to us in the working environment than reading in of files.
Poor value.......2006-10-14
The book can be helpful to college students, but is of little benefit to more seasoned statisticians. The title notwithstanding, most of its chapters deal with general-purpose SAS programming; the rest (totaling 100-150 pages) offer a very basic review of REG, TTEST, LOGISTIC and FACTOR procedures, something that you can easily find online. (Check out the SAS tutorials offered by UCLA). I like and recommend Ron Cody's other books, but not this overpriced softcover.
Blergh.......2006-09-13
I did not like this book. The organization was abysmal, and I decided to sell it back to the college bookstore for use by future hapless students, because it is not good as a reference guide.
I did not like how the author seemed to gear the book to an audience that is terrified of their computers or anything dealing with *gasp* math.
Product Description
An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. This is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a particular course. These topics include transforms, sums of random variables, least squares estimation, the bivariate normal distribution, and a fairly detailed introduction to Bernoulli, Poisson, and Markov processes. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis has been just intuitively explained in the text, but is developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems. The book has been widely adopted for classroom use in introductory probability courses within the USA and abroad.
Customer Reviews:
Recommended.......2007-09-24
The shipping was very fast and the book was just as described. I would recommend this seller without hesitation!
Sheds Light.......2007-08-11
Bertsekas has truly been a savior in helping me integrate the concepts of probability. I tried most of the standard intro books before finally settling in with this comforting and rewarding book. The list included: Pittman, Ross, and Hoel. None of these books were effective in solidifying the concepts in my opinion. I think Bertsekas is also an excellent choice for brushing up for an actuary exam or self-study.
A good introduction!.......2007-02-20
First all, everyone wishing to learn probability comes from different background, math level, and motivation. There is no book that suits all. Recently I needed to know something about moment generating functions. With all my advanced engineering background though, I find it difficult to get into probability.
So I bought the following supposedly introductory texts: Ross, DeGroot, Stirzaker, Bersekas & Tsitsiklis. To me, Ross seems like a review lesson to cram for finals; it's choke full of examples but fairly spare in exposition. DeGroot is the opposite, long on descriptions but short on examples; by the time it finishes describing the problem, you have forgotten how to solve it. Probability is set up more as a prelude to statistics in the second half of the book. Stirzaker calls his book "elementary" the way Sherlock Holmes dismissed a case after slogging all night through the English bogs. It is more for the well-drilled boys from elite British "public" (private actually) schools. Bersekas comes closest to what I look for in a text, straightforward in prose with a judicious selection of examples to explain theory.
For beginners, the best approach I found, in the end, was to go the local community college and buy the text used for Finite Math. Usually, there are 3 to 4 chapters that introduce probability.
Such a text is aimed an audience from wider academic and language backgrounds, as community colleges are mandated to do. Therefore, probability is taught in simple, plain-spoken language crafted through multiple editions. One such is Finite Math, by Karl J. Smith; however, many others like it will do. For self-study, one might start in the chapter on probability to understand the author's approach, then go back a chapter or two to pick up the permutation and combinatorial math needed to calculate probability. Another alternative is just to enroll in a Finite Math course at a community college. Generally, such a course stops at Markov's chain which is enough to get you jump started in probability.
In any case, a good Finite Math text gives plenty of examples with clear, succinct, and layman-like explanation to help you tackle Ross' book or supplement any other at a higher level. If you plan to apply probability to your work, then shop around for another text after you get the basics. The thicker tomes delve more into theory which is good because real life problems are seldom like the examples given. However you can't go wrong by planting your feet solidly on a good Finite Math text first.
Excellent.......2006-07-15
I found this book a very readable, concise and useful introduction to probability.
Designed with application in mind, it emphasizes intuitive understanding and doesn't contain any boring formalism.
The only regret that I have is that avoidance of matrix calculus leads to lack of some
results, notably in markov chains (anyway this subject is well covered).
I strongly recommend this book to anyone looking for a fundamental text on applied probability.
Great Intro to Probability.......2006-03-18
I am a university student taking a probability course and found this book to be invaluable.
The book actually assigned to our class was Sheldon Ross' A First Course in Probability. I found Ross' book unreadable so I began looking for another text in order to help myself pass the class.
After reading numerous reviews I decided on an Introduction to Probability. The book is well written and easy to understand. The main points are highlighted and made extremely obvious. In addition they are backed by step by step easy to understand examples. Another feature I found very helpful was the use of graphical examples to reinforce the points being made.
In short I would recommend this book highly to anyone looking for an introduction to probability.
Update: I finished my probability course in May with an A. I completely stopped using Ross' book around the time of this review. This book was by far the most useful tool I had. I strongly back my original recommendation. I will be graduating this fall, and this book has turned out to be one of the best mathematic books I have encountered thus far.
I say this for the following reasons. First, the layout of the book, and the order it presented material is very intuitive and helpful. Second is how well the book reads. My experience with quite a few mathematics books has been the following. The math books are written by mathematicians. While being a mathematician may qualify you to teach a subject, it does not generally translate into an ability to put your ideas into written form. The result is a book that is not read by the students, but instead only consulted when all other methods of information retrieval fail. Introduction to Probability does not share this fate. The writing style of the book is very straight forward and easy to understand. While this may sound redundant, I personally think this is one of the best reasons to buy this book.
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
The emphasis of the text is on data analysis, modeling, and spreadsheet use in statistics and management science. This text contains professional Excel software add-ins. The authors maintain the elements that have made this text a market leader in its first edition: clarity of writing, a teach-by-example approach, and complete Excel integration.
Customer Reviews:
Managerial Statistics Text book.......2006-11-03
It was the text book the professor wanted me to buy.
It was good.
Sanjay Chheda.......2006-10-06
The book is very good with really good explanations and examples on descriptive analysis and inferential analysis.
Better Title: Intro to Statistics using Excel Add-ins.......2001-06-04
On the positive side, this book has many excellent case studies and examples. It is well written and interesting. However, I was disappointed, as I was expecting use of Excel to rigorously solve decision making and data analysis problems. The focus of the book is mostly traditional statistics solved using a group of commercial add-ins for Excel. If this is what you want, then the book would get five stars. However, for data analysis and decision making, I think a more thorough treatment using Excel without relying so much on the add-ins would have been appropriate.
Serious Excel 2000 Problem.......2001-04-12
The text book is great. I have many of Winston's other books and they are all great. The Palisade stuff works just fine. However, the StatPro Addin that accompanies this text does not work with MS Excel 2000. I contacted the IT guy that the authors directed me to--he was stumped. He just gave up and suggested I return my book for a refund because he could not figure out it out. Again, the book is great but the StatPro Addin sucks!
No trouble with Excel.......2001-01-31
I find the text and software a useful set of tools. It assumes familiarity with basic statistics and Excel, and builds on them to develop a powerfull ability to analize data and make decisions from it. I experienced no trouble with the software install or operation.
Book Description
This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study of pattern recognition. This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field. Each chapter contains computer projects as well as exercises.
Customer Reviews:
A best book on Statistical Pattern Recognition.......2005-09-13
Multivariate analysis is borrowed to name a NEW subject, Statistical Pattern Recognition (SPR). Many statisticians think it unfair or a shame. In spite of these, it is a good reference book of SPR. :-)
[1] Many contents of this book can be found in any graduate textbook of Multivariate Analysis, for instance, Fisher's linear disciminant, etc.
[2] The book is badly printed. Why not using LaTeX?
[3] Guassian distribution is assumed here and there.
[4] It may be good as a reference book, but definitely not as a textbook.
Standard reference and a classic text but with flaws.......2004-01-20
I do not like to consult this book for the following, quite superficial reason. The book is sloppily produced and proofread
(and the fault is [probably] mainly the publisher's instead of the author's). This manifests itself, e.g., as follows
(1) the typography is flawed (the equations hurt at least my eyes);
(2) at its each appearance, the all-important >
< -sign goes the wrong way.
good coverage for engineers.......2000-08-04
Fukunaga is a standard source for pattern recognition methods often cited in the engineering literature. Covers parametric (particularly linear and quadratic discriminant algorithms) and nonparametric methods (density estimation). It is designed for and popular with engineers. When I was working at Nichols Research Corporation Fukunaga's papers and this book (earlier edition) were often cited as sources to justify the algorithms we used for discrimination problems. In fact Fukunaga had been a consultant to the company (used primarily by the Boston branch of the company where the KENN algorithms were developed). It is a reputable source. I still like Duda and Hart (1972) for good explanations of the fundamental concepts. For statisticians McLachlan's book is now far and away the best source.
Standard Reference in the Field.......2000-04-06
If you are writing a machine learning paper, and need to cite something to support an argument, you can almost always cite Fukunaga. This work is a standard reference in the field. The presentation of most material is very terse, but that is great if you already have a good feel for the material and need to look up some details about some algorithm or technique. There isn't much about neural networks here, but for the rest of the pattern recognition techniques, this is almost always the first place to start. Another strong point for this book is the use of realistic examples, which illustrate many of the statistical techniques.
Book Description
Master MINITAB, the leading software package used in industry for quality and process improvement with the MINITAB HANDBOOK: UPDATED FOR RELEASE 14. This book illustrates by example and step-by-step instruction how to use MINITAB 14 to explore and analyze data and uses examples to illustrates how statistical concepts apply to data analysis. More than 4,000 colleges, universities, and high schools rely on MINITAB, making this software the educational standard.
Customer Reviews:
Disappointing.......2007-09-11
This can't be called a handbook. It is not detailed enough. It should be called Minitab for beginner.
It is a good resource for students.......2007-01-09
It is a good book for students and beginners. I would like to see a stronger chapter 18 (Macro)
Good Book for Reference.......2005-11-15
This is a good book for reference. I use minitab at work and this has proved useful, better than Rath & Strong's "Guide to Minitab" which I also have.
Very Good Book for Minitab User.......2005-07-20
Good Minitab Manual for begining study Statistics with Minitab software.
Book Description
The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes is a complete text and reference book on scientific computing. In a self-contained manner it proceeds from mathematical and theoretical considerations to actual practical computer routines. With over 100 new routines bringing the total to well over 300, plus upgraded versions of the original routines, the new edition remains the most practical, comprehensive handbook of scientific computing available today.
Customer Reviews:
talk about outdated.......2007-06-27
this book was likely a looker back in the day, but its 2007 now. Need to have better details for non "C"-users. wish i had bought "Idiots Guide to C".
A classic book of numerical algorithms.......2006-12-24
This book, although published 15 years ago, is still very useful. In fact, its more recent counterpart "Numerical Algorithms in C++" is a mess, and I wouldn't recommend it to anyone. The explanations of the algorithms that occur in each section of this book are top-notch. It helps with such questions as "Sure you know how to evaluate an integral with pencil and paper, but how do you do it with a computer?" Everything from linear algebra techniques to integration and evaluation of functions to the FFT and spectral applications are explained clearly and coded up in C. The code is great too, with the exception of one problem that several reviewers have already mentioned - the author has a FORTRAN-like programming style in which each implementation has arrays going from 1 to n versus 0 to n-1. This does cause some implementation problems if you want to transfer the algorithms into another programming language. Overall, though, I can't think of one book that does all of the heavy lifting that this one book does as well as it does in the arena of numerical algorithms.
The book is now available online. Just type "Numerical Recipes" into Google and click on the Numerical Recipes Home Page to peruse the entire book free of charge. You might also find the "Numerical Recipes in C Example Book" useful. That book is simply the source programs that demonstrate all of the Numerical Recipes subroutines. Each example program contains comments and is preceded by a short description of how it functions. I know I found it helpful in many cases.
Very nice book.......2006-08-27
A must buy for students or researchers who need numerical methods. Comprehensive topics. A good place to start to deeper levels. Online book is good for quick look.
A classic, and still worth having.......2006-07-12
"Numerical Recipes" has been a staple in computing libraries for many years, and for good reason. It provides immediately usable implementations of all the workhorses of numerical computation, in production-quality form. Maybe there are better implementations out there, FFTW for example, but getting something to work correctly always comes before getting it to work fast. Numerical computation is a specialty, and vanishingly few of us are specialists. As a result, getting this much specialist knowledge for the price of a very few hours' wage, fully debugged and documented, is a great bargain.
I have to agree with the critics who point out that the Gnu Scientific Library (GSL) is more complete in some areas, and offers better licensing terms. This collection has its own strengths, though, and not just in documentation. The writeup, however, is the major interface between the software and us, the bio-ware. GSL's collection of 'man' (help) pages serves a purpose, but this book's exposition describes a lot more of the background and rationale for the routines. The code and man pages are self-evident statements of the implementation - but "what" is a very different question than "what else" or "why."
This one may not serve all needs. You'd be amazed how many it does serve, though. If you need more than a Matlab session for numerical computing, you need this.
//wiredweird
Great compilation of numerical routines for C programmers.......2004-12-17
I found this book indispensible in my effort to develop profitable trading systems for futures and options and in my research in factor analysis and, more recently, in chronic fatigue syndrome and fibromyalgia. Anyone who programs in C or C++ and works with mathematics must have this book. It covers a surprisingly wide range of algorithms: routines are included for everything from handling Julian dates and solving systems of linear equations to determining eigenvectors and singular value decompositions, solving differential equations, doing numerical integration (quadrature), not to mention calculating fast fourier transforms, lomb periodograms and maximum entropy spectral analyses. While not always state-of-the-art, the routines are quite reliable (when used correctly), clearly-written, and easy to understand and use. I would strongly recommend this book (and the companion software) to anyone who programs in C and is literate in mathematics. I always keep a copy nearby.
Jeffrey Owen Katz, Ph.D.
Author: "The Encyclopedia of Trading Strategies" (McGraw Hill, 2000)
Book Description
The SPSS 14.0 Guide to Data Analysis is a friendly introduction to both data analysis and SPSS. Easy-to-understand explanations and in-depth content make this guide both an excellent supplement to other statistics texts and a superb primary text for any introductory data analysis course. With the book, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS. The goal of this book is to provide an unintimidating introduction to data analysis and to SPSS. This edition focuses on topics that interest today's students-in particular, the role of the Internet in society. It is designed for use with SPSS 14.0, including the Student Version. A data CD is included with this book.
For additional information, go to http://www.norusis.com This site offers a detailed Table of Contents, features, examples included in the book, and a sample chapter for download.
Customer Reviews:
Excellent for learning to do SPSS software and/or to learn/understand statistics.......2007-09-21
I have used this book (previous editions) in teaching a graduate level research methods and statistical software class in the late 1990s. It is the best book available for anyone who needs to use SPSS or who needs to know how to organize data, interpret statistical output and understand the process of quantitative research. I now teach short courses and do statistical consulting for faculty, staff and students at a university. Whenever anyone asks what I recommend if they want to get SPSS and/or statistical thinking, its a no brainer. This book is hands-down the best for either or both of those goals.
Stats made easy.......2007-06-12
The book is written in an easy to understand language. The examples help to recreate the steps explained in the different chapters. I can only recommend this book.
Wrong Item.......2007-01-05
I had to return this since it did not indicate that it was "student version" which limits the number of variables.
teaches statistics and SPSS .......2006-07-11
In the humanities and social sciences, SPSS is probably the most heavily used statistical package. Norusis helps you understand why. Even if you do not have a strong background in statistics. The book teaches both statistics and the use of SPSS to analyse your statistical data.
The text starts off with the most basic material, like showing a simple frequency table. Or displaying it visually using a pie chart or a bar chart. Then, when there are too many values for a bar chart, you can use a histogram, which has bins, each representing a range of values of the independent variable. SPSS has the ability to quickly display in these formats.
Then the text progressively takes you into analysis. Starting with the computation of mean, median and variances. Later, when there are several independent variables, other graphing formats like scatterplots come into play. But the more challenging sections involve testing hypothesis. From these come the use of chi square tests, Student's T-distribution, nonparametric tests and so on.
If you make it through the book, you get an impressive self taught education in statistics and SPSS.
Average customer rating:
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- Excellent Reference, Not For Beginners.
- Excellent
- More Than a Simple Spread Sheet
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Statistical Analysis with Excel For Dummies
Joseph Schmuller
Manufacturer: For Dummies
ProductGroup: Book
Binding: Paperback
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ASIN: 0764575945 |
Book Description
- This book makes it easy to crunch numbers and interpret statistics with Excel, even for the math-challenged
- Using plain English and real-life examples, the author provides information that will help readers improve their performance on the job or in the classroom
- Covers formulas and functions, charts and PivotTables, samples and normal distributions, probabilities and related distributions, trends and correlations, as well as statistical terms like median vs. mean, margin of error, standard deviation, permutations, and correlations-all using Excel
Customer Reviews:
I liked it.......2007-08-23
very helpful for someone who has little previous knowledge of the subject. I needed a simple lead in and this provided.
A good book.......2007-05-04
I bought this book as a reference for Stats analysis , it is good for this , dont buy if you expect to get a deep knowledge in the subject.
Excellent Reference, Not For Beginners........2007-02-09
I bought this book to help me with the statistical analyses involved with my senior dissertation at my university. I am a psychology major and I could use all the help I could get understanding the Results Sections in the literature. This book explains all kinds of statistics, including the very helpful ANOVA and regression analysis amongst many other. However, it doesn't explain very well when or why you use these statistics. They don't provide many examples of research or problems that require such analyses. This book is great for a step by step tutorial using Excel and handwriting statistics problems, and reading your data.... but unless you have an idea of what you're looking for in the first place, don't bother. I am totally ignorant to statistical analyses and coming into this book, I didn't know when to use ANCOVA or even what precisely it was demonstrating in relation to the research I am conducting... and I still only have a vague idea... Hopefully this will all be explained in course. But, this is a valued reference for all Excel users, without a doubt!!
Excellent.......2005-03-17
This book is excellent for seasoned Excel users and people who were taught (but didn't learn) statistics in your average graduate school program. I have never seen statistical concepts so briefly and at the same time well explained. Actually applying the concepts adds another level of learning. I highly recommend this book.
More Than a Simple Spread Sheet.......2005-03-05
Excel is of course first and foremost a spreadsheet. They were designed to allow you to play what if senarios. You can change this part of the budget to see what the effect is over there.
But beyond the spread sheet functionality Excel has numerous functions and capabilities to do all kinds of analysis capabilities.
This book is on using these functions to perform a whole range of statistical functions. Not only does this book cover the functions themselves, but gives the background and description of what this particular kind of function is doing. Both numerical analysis and charting functions are included and in detail.
Don't skip the part in this book called the Part of Tens. This section in the For Dummies books often has some interesting points, but here the summation of statistical limitations is just great.
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