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Customer Reviews (1)

A fundamental book and a good investment
This book was originally prepared for the US Army as a practical statistics manual, known as Handbook 91, and printed by the US Government Printing Office. Still very useful for the the occasional user of statistical methods like myself. Recommendation: buy now in case it goes out of print again.With Dr. Deming's The New Economics, all you need to start your quality bookshelf. You will need this book to do basic design of experiments without a dedicated computer software; in particular the practical Yates computation is explained by this manual but has been removed from the current edition of Box & Hunter.The National Institute of Standards Engineering Statistics web-based manual is the Internet descendant of Handbook 91. ... Read more

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One Diagnostic and five full-length Advanced Placement Practice Exams are presented in the manual with all questions answered and explained. Equally valuable to prospective test takers is the author?s 15-chapter topic review, covering virtually everything they will encounter on the actual exam. Topics for review are divided into four general themes: Exploratory Analysis, Planning a Study, Probability, and Statistical Inference. Additional multiple-choice and free-response questions with answers are presented at the end of all 15 chapters. Detailed appendices include exam-taking advice, an AP scoring guide, a guide to basic uses ofTI-83/TI-84 calculators, and more. This manual may be purchased alone or with an optional CD-ROM containing two additional full-length practice exams, giving students a total of eight practice exams. The free-response questions in all exams have been replaced in this new edition in order to bring practice tests completely up to date and accurately reflect the latest AP Statistics exams. ... Read more

Customer Reviews (14)

books for school
This is my first time buying on Amazon, and it was great. I can't believe how fast the book came, and it's in amazing condition. Thank you.(I hope my other 2 orders arrive the same way:)

Great supplement to Stats Textbook
I found this book great review for the topics covered on the AP exam. After going through the textbook chapter, i would usually read the Barrons to reinforce it.But I must admit that the Barrons summary of the topics are a little brief, and might be confusing if you do not know what they are talking about. I would not recommend solely reading Barrons, but rather reading your textbook (or possibly 5 Steps to a 5) to understand the topic first before going to Barrons. Barrons always adds more in depth explanations and key points that may have not been included in the textbook.

As for the practice questions, they are really well written. Though they seem hard, and are actually harder than the ones on the official exam, they prepare you well. If you can answer these questions, you are going to ace the real ones.

I would highly recommend this book (along with your textbook) to prepare for the exam.

AP Statistics
AP Statistics older version, but that is what the teacher wants, so it's perfect, good price and easy to order.

If you want your students to earn college credit for AP Statistics - use this book!
Dr. Martin Sternstein has outdone himself again.With each new edition, this fabulous review book includes more topics, better explanations, more practice problems based on recent AP exams, improved rubrics, and better technology.This review book is far and away the best on the market.Professor Sternstein is a true master teacher.I use this review book religiously both throughout the school year as well as at test prep time.My students have been running a 90% pass rate on the AP Statistics exam - which compares nicely to the national 60% pass rate.Use this book - you won't regret it.Teacher Tip:Use this book in conjunction with Dr. Sternsteins flashcards - the kids love them!

mg48439
the book came in a very timely manner andin very good condition. my son hasn't had to use it yet but intends to for his next multiple choice test. ... Read more

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Customer Reviews (23)

Pretty tough book that demands repeated readings.
Shin Takahaski, The Manga Guide to Statistics (No Starch Press, 2009)

After being so wowed by The Manga Guide to Databases, I knew I'd be checking out the rest of the series. I decided to start with something I was really interested in learning about (makes sense, huh?), and so came up with The Manga Guide to Statistics. Which turned out to be not as good, but for a completely understandable reason--Takahashi tries to do way, way too much in this volume. The database book is a good high-level overview of the concepts, one that doesn't delve too deep into the technical details of database design and optimization; there's nothing there you wouldn't get in an Intro to Database Design class. The stats book, on the other hand, starts off the same way; I was with him up to probability. I'm a horseplayer and a poker player, so the concept of probability is in no way new to me. I've read more than enough books on handicapping and poker to have learned something like eighty-seven different quick-and-dirty ways of calculating probability (as well as converting it to odds and/or outs, but we won't go there). None of them even begins to approach the detail of the math here... and that's where Takahashi derails this train. There seems to be an understanding that a number of relatively advanced math concepts would already be understood by the reader. That may not be an unreasonable assumption, though I do know that stats was considered "the math class to take to get out of your general ed requirement" at my college. (I was an idiot and went for Calculus I. Twice.) So I've always assumed that stats was the easy method through math, and fifteen years of calculating prices and probabilities hasn't dissuaded me of that notion. A few pages after that halfway point in The Manga Guide to Statistics, though, and I was seeing stars. I'll be digging through it again as time goes on in order to see if I can make heads or tails out of the last half of the book, because it's engaging (if predictable) and related in a likable style, but this isn't one you should pick up and expect to master by the time you've finished your first trip through it. ***

Great Book
If you are looking for a quick and fun introduction into statistics, The Manga Guide to Statistics is right up your alley. It introduces and teaches the many of the topics that one would learn about in an introduction to statistics class in a very efficient and entertaining manner, even the equations!Each of the seven chapters explains the material in a cartoon, and concludes with a concise text explanation along with a few practice problems and answers. The Manga Guide to Statistics starts out by introducing the difference between categorical and numerical data, and works the reader up to probability density functions, various correlation techniques, and hypothesis testing. There is even a section on how to use Microsoft Excel to analyze your data for you! Each concept is introduced using real life situations where we are presented data and is used to answer specific questions one may have about said data. This problem based approach makes you want to continue reading and figure out how to answer the question.

Mildly entertaining but only average as a statistics text
Ironically for a book that teaches you how to compute median and mean, I found this book only average. It's entertaining, and moves fast, but focuses too much on names and definitions and not on the "why" of the concepts it introduces. For example, in the section on categorizing ramen shops as high priced, medium priced, or low priced, the book teaches you that you can compute the number of categories to use using Sturges Rule, and teaches you how to compute Sturges Rule, then goes on to explain:

"If you try to explain to people that 'this was calculated by a formula called ''SturgesRule," they will only get mad and say 'Who cares about Stur...whatever! why did you set the interval to weird value like 69 yen?'"

So, the whole thing feels like my stereotype of Japanese education, entertaining, teaches you nomenclature and definitions, but weak on why. I learned that when I have a sample with N items in it, I can use Sturges Rule to sort the N items into M categories (where M is the output of Sturges rule), and that this is a reasonable thing to do if you don't have a better way of dividing the sample in categories, but not why Sturges thought his rule was appropriate. And generally, this book is weak on "why".

I'd recommend it if you want a light read, or if you are cramming for an exam, but not if you want it to _ really_ learn statistics.

Question: As Manga, the young tutor character is shown as wearing glasses with concentric circles. In Manga, what does that mean? (The book does explain some Japanese cutltural details, for example, pointing to a specific costume and saying that "Somehow Rui has turned into an elevator girl", but it doesn't explain this one.

Much Fun, Too Many Errors
Since I enjoyed the Manga Guide to Statistics, I guess the author achieved at least one objective of good teaching - keep the learner interested. The use of well thought out graphics and humorous examples are likely to encourage a learner to attend to the content.
Still, maintaining interest and good teaching, while related, are not identical. One can maintain interest in ways that detract from learning as well as in ways that enhance learning.
The tendency in this text to oversimplify (e.g., the discussion of what is and is not "measurable" at the beginning of the book, the underemphasis of the importance of random selection) are definite negatives. They will lead a learner with no background in the use of statistical procedures to mistaken conclusions about the meaning of measurements and the generalizability of findings.
In at least one case, the oversimplification proceeds to the point of presenting information that is wrong (i.e., the examples of alternative hypotheses on pp. 172-173). To be fair, there are many "gentle" statistics texts that, as does the Manga Guide to Statistics, present the notion that the alternative hypothesis is simply "not the null hypothesis."
Despite the popularity of this view, Neyman and Pearson (who developed statistical hypothesis testing theory 75 years ago) noted that the "not the null" formulation of the alternative hypothesis would lead to the acceptance of trivial effects as meaningful simply because they were "statistically significant."
The "not the null" formulation of the alternative hypothesis creates other problems.
For example, the null hypothesis on page 173, "The allowances of high school girls in Tokyo and Osaka are the same," has as its alternative, "The allowances of high school girls in Tokyo and Osaka are not the same." Stating the alternative hypothesis in this way does not permit an evaluation of the power of a statistical test (power refers to the probability that a test will detect a difference, change or relationship when it is present). As Neyman noted, since the test would have to detect an infinitesimal difference, the power would necessarily be infinitesimal as well.
Instead, an alternative hypothesis should specify a minimum effect, e.g., "The allowances of high school girls in Tokyo and Osaka differ by an average amount of at least ¥500." By specifying a minimum effect to be detected, we can find the probability that a statistical hypothesis test would detect a difference of at least ¥500 (the test's power).
Since I have to devote time to "unteaching" the "not the null" formulation of the alternative hypothesis, I am far from thrilled to see it here. Convincing learners that the easily understood "not the null" definition is wrong usually requires a lot of work and pain.
After all, who likes being told that what they thought they understood, is what they still do not understand?
This makes it more difficult for me to help my students understand the central importance of power to statistical testing. And, as Neyman pointed out, the power of a test is the main determinant of how useful it is.
It may seem that I am asking too much of an introductory text.
I do not think so.
It is my experience that one must engage in some fairly sophisticated reasoning to understand the meaning of the results of a statistical analysis. The simple, obvious interpretation is almost always wrong (cf., Darrell Huff's How to lie with statistics).
We do a learner no favors by simplifying a complex process to the point where we deceive the learner into thinking that they understand something that they do not.
The trick (which I am still working on mastering) is to help learners learn how to enjoy the challenge of minimizing, but still living with, uncertainty (an important element of all statistical reasoning) and also to help them learn to be suspicious of "easy" answers.
I recently got around to reading W. Edwards Deming's book, Out of the Crisis. In it, he made an observation about maintaining learner interest and quality teaching that is relevant to this book: "In my experience, I have seen a teacher hold a hundred and fifty students spellbound, teaching what is wrong." The Manga Guide to Statistics held my interest from the moment I started reading it. In fact, I read it in one sitting. I honestly enjoyed reading it, but it is wrong in too many places.
I purchased the Manga Guide to Statistics thinking that I might use it in my introductory research methods courses. I shall not use it. I shall not recommend it. I shall not mention it.

Note: I apologize for the lengthy discussion of the alternative hypothesis. I am afraid that I am not clever enough to find another way to demonstrate the problem of oversimplification.

Deming, W.E. (1986). Out of the Crisis. Cambridge, MA: MIT Center for Advanced Engineering Study.

Huff, D. (1954). How to Lie with Statistics. NY: Norton.

Neyman, J. & Pearson, E. (1933). On the problem of the most efficient tests of statistical hypotheses. Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences, 231, 289-337.

Surprising Purchase
I bought this book on a whim - I like manga, and statistics play a big part in my daily life. I was expecting this book to suck - how can manga be informative in an academic manner?

To my surprise, it is quite a good book. The topics covered range from high-school statistics (mean, median) to first year uni stats (hypothesis testing).

I'll be one to admit that stats is a dry subject, but Shin Takahashi made it fun (plus it was fun to read the storyline by itself). And yes, I even learnt something (Cramer's V coefficient, which I never needed in my line of work).

My only grouse with it is that it didn't continue further. I was expecting more, but I guess this is why its an intro book.
... Read more

Product Description
Introducing the concepts and methods of modern statistics with an emphasis on computer assisted data analysis, the book focuses on interpretation of results rather than their computation.Review of probability, collecting data, summarizing and exploring data, sampling distributions of statistics, basic concepts of inference, linear regression and correlation, analysis of single factor and multifactor Experiments. ... Read more

Customer Reviews (4)

bad quality
The book binding quality of this book version is very bad. I have used it a few times and the binding broke, pages came loose. I have lost interest using the book although its content is well done. The poor quality comes close to cheap book reprints that you can buy in India.

The quality of the book
The contents of the book is good but the quality of the book is very bad. Even though the book is new, the pages in it started to fall off from the book when I was using it for a few times. I don't recommend anyone to go for this print version.

most complete statistics book
Best book about statistics. Includes every mathematical demonstration from every procedure described in the book. Great for the academic world.

Statistics and Data Analysis Review
This book was the assigned text for a graduate level statistics course I took.It is well written with examples for every technique discussed and lots of exercises at the end of each chapter.I highly recommend it. ... Read more

Product Description
An issue in the current push for reform in mathematics education is the call to address statistics at the precollege level. This volume represents the emerging findings of an interdisciplinary collaboration among a group of mathematics educators, cognitive scientists, teachers, and statisticians to construct an understanding of how to introduce statistics education and assessment for students in elementary and secondary schools. A premise shared by the contributors to this volume is that when students are introduced to statistics at the K-12 level and provided with opportunities to do statistics that are related to actual life situations, they will be better prepared for decision making in the real world.

The interdisciplinary nature of the group of researchers stimulated a lively interchange of ideas for enhancing the learning, teaching, and assessment of statistical understanding, which is reflected in this volume. Mathematics educators contribute their insights into how teachers teach mathematical ideas and heighten our awareness of the ecological needs of the current mathematics classroom. Cognitive scientists share their understanding of developmental differences in learning and present theoretical perspectives that contribute to the design of effective learning environments. Classroom teachers share their ideas about classroom activities and assessment of student learning, as well as their concerns for in-service training and workshops to help teachers acquire skills in this new content area. Statisticians offer their understanding of what is feasible to teach in the early grades, and what their view is of statistical literacy.

The book is organized around four interdependent themes: content, teaching, learning, and assessment. By focusing their respective chapters on particular themes, the authors intend to cultivate a better understanding of how each relates to improvements in statistics education. This is the first book to:
* address statistics learning in grades K-12,
* address issues of statistical curriculum content in grades K-12,
* address issues of assessment of statistics learning in grades K-12,
* bring issues of technology instruction and assessment in statistics education in grades K-12, and
* look at teacher education for statistics instruction in grades K-12.

This is a must-read book for both practitioners and researchers involved in K-12 mathematics education.
... Read more

Product Description
A statistics text for students, which provides students with guidance andadvice showing students the links between statistics and the world.To reinforce this approach, the book integrates graphing technology as well as real-life data selected from a variety of sources including journals, periodicals, newspapers and the Internet. ... Read more

Customer Reviews (2)

It really does make statistics understandable
This book made statistics an interesting and fun class.It provides numerous examples and provides step by step approaches to solving problems.I read the previous review complaining about the "numeroustypos."I do not recall any typos, muchless enough typos to makelearning the subject difficult.I have never had much confidence in mymath skills, but this book guided me as I earned an "A" instatistics.

Student's Perspective
As a student who has little confidence in her math ability, I found the numerous typos & inconsistencies between the answers of exercise examples & the study problem examples frustrating.Especially when thebook was reprinted in 1999.The product I received is not worth the priceI paid.I would recommend this book's editor take a college statisticsclass so he/she can better proof the final product. ... Read more

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The Manchester Physics Series General Editors: D. J. Sandiford; F. Mandl; A. C. Phillips Department of Physics and Astronomy, University of Manchester Properties of Matter B. H. Flowers and E. Mendoza Optics Second Edition F. G. Smith and J. H. Thomson Statistical Physics Second Edition F. Mandl Electromagnetism Second Edition I. S. Grant and W. R. Phillips Statistics R. J. Barlow Solid State Physics Second Edition J. R. Hook and H. E. Hall Quantum Mechanics F. Mandl Particle Physics Second Edition B. R. Martin and G. Shaw The Physics of Stars Second Edition A.C. Phillips Computing for Scientists R. J. Barlow and A. R. Barnett Written by a physicist, Statistics is tailored to the needs of physical scientists, containing and explaining all they need to know. It concentrates on parameter estimation, especially the methods of Least Squares and Maximum Likelihood, but other techniques, such as hypothesis testing, Bayesian statistics and non-parametric methods are also included. Intended for reasonably numerate scientists it contains all the basic formulae, their derivations and applications, together with some more advanced ones. Statistics features:
* Comprehensive coverage of the essential techniques physical scientists are likely to need.
* A wealth of examples, and problems with their answers.
* Flexible structure and organisation allows it to be used as a course text and a reference.
* A review of the basics, so that little prior knowledge is required. ... Read more

Customer Reviews (3)

Luillo's review
It's a very good book which one can start statistics with.
But also a good book for expert people.

Statistics for everyone
This is a fine book on statistical methods. By reading it you will economically learn how to use statistics and the reasons why the methods work. Like I said , economically. It explains in a few pages what take other books chapters to explain and does it better. The examples are from physics. However they are not complicated so that a person reading this book can aplly its methods to any other science

Excellent for those in the physical sciences
This book is highly recommended for those needing statistics in their work, especially those at a graduate level.It explains concepts in a straightforward manner and in plain English, but also includes many mathematical treatments for those who want to understand the concepts at a more rigorous level. ... Read more

Product Description
Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities. ... Read more

Product Description
This text contains 300 problems in mathematical statistics, together with detailed solutions. ... Read more

Customer Reviews (1)

Excellent for Intermediate and Advanced Stat
Publisher:
This book contains some 250 problems in mathematical statistics, varying in difficulty, together with their DETAILED solutions. the book i sprimarily intendedas a solution manual to the textbook "Mathematical Statistics" --An Introduction )De Gruyter 1998), which also includes the problems.
As a ste, the two books are very suitable for self-study. This solutions manual is nvertheless as self-contained as is reasonably possible. For example, in the beginning of every chapter a summary is given of the topics covered by the corresponding chapter in the textbook. The text can be used by mathematics, natural science and economy sutdents who have mastered the tpics of a first-year calculus and linear algebra. ... Read more

Product Description
This book introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-based learning process that stresses interpretation and communication of statistical information. They help you grasp concepts and cement your comprehension by using simple notation-frequently substituting words for symbols. ... Read more

Customer Reviews (2)

Required Text
For a statistics book, this is just a cut above the rest. I didn't use any of the companion software or internet features, but really, why would you need to? This book has it all. Example Problems. Problems. Answers to some of the problems. Skyboxes. Lots of graphs. I mean, the book teaches you how to make and read graphs, though it could use a bit more information on appropriate use of the different types of graphic representation of data.

It's a very good textbook!
I read this book before I puchased it. It's good for students who don't have the strong background in statistics because the authors used very clear words to explain the statistic formulas.
I love the summary of key concepts and formulas very much. I strongly recommend evryone to buy it because you will love it. ... Read more

Product Description
Traditional texts in mathematical statistics can seem - to some readers-heavily weighted with optimality theory of the various flavors developed in the 1940s and50s, and not particularly relevant to statistical practice. Mathematical Statistics stands apart from these treatments. While mathematically rigorous, its focus is on providing a set of useful tools that allow students to understand the theoretical underpinnings of statistical methodology.The author concentrates on inferential procedures within the framework of parametric models, but - acknowledging that models are often incorrectly specified - he also views estimation from a non-parametric perspective. Overall, Mathematical Statistics places greater emphasis on frequentist methodology than on Bayesian, but claims no particular superiority for that approach. It does emphasize, however, the utility of statistical and mathematical software packages, and includes several sections addressing computational issues.The result reaches beyond "nice" mathematics to provide a balanced, practical text that brings life and relevance to a subject so often perceived as irrelevant and dry. ... Read more

Customer Reviews (6)

modern math stat
With so many good graduate texts available to choose from I think it is more helpful for me to tell you what this offers that some of the others do not and then you can decide for yourself if it is for you.It is not the best written text and is highly mathematical.It does introduce some modern concepts such as empirical likelihood,the jackknife, and the bootstrap and devotes a chapter to the important topic of generalized linear models.However, the bootstrap is only mentioned briefly as a resampling tool that can be used in the context of generalized linear models.Its more general use as a competitor to the jackknife for estimation of variance or standard errors and in the context of confidence intervals is not mentioned.

An avantage of the book for some is that it includes chapters on probability theory.It only includes the topics needed to understand distribution theory for inference purposes and to be able to understand asymptotic distributions.To achieve this Knight covers the basic rules of probability and its measrue theoretic basis in chapter one.Inportant convergence results needed to develop the asymptotic theory of statistics is cover in Chapter 3 where the concepts of convergence in probability and convergence in distribution are given along with key results such as the weak law of large numbers and the central limot theorem.This is a nice feature as it makes the book self-contained and the student does not need a book or separate course in advanced probability since the essence of that material is covered in Chapters 1 and 3.

I do applaud the author for covering important topics such as generalized linear models along with the standard parametric theory of hypothesis testing and estimation.Another topic not commonly covered in the affect of model mispecification on results.

So if you are interested in learning about the jackknife, empirical likelihood and the Bayesian approach, this is one of very few advanced books that covers all these topics and still covers probability and standard statidtical theory (e.g. Cramer-Rao inequality, Lehmann-Scheffe theorem, Neyman Pearson lemma, uniformly most powerful tests, Basu's lemma, and sufficiency and efficiency concepts.

A bit different than Fear of A Black Marker
Maybe it would be easier to read and comprehend if Keef used the cartoon format for his statistics textbook.

3 and a half stars actually
This book is very challenging for a beginner student in statistics. I am not sure how it would be if one had some preparation in the subject, but I still think that it should rather be used as a source for excercises and some concepts. However, using it can be a little frustrating sometimes. Let me give you an example: If you want to do some exercise which requires you to know a density function of a certain random variable then you have to look somewhere else because this book fails to provide you with a table of most common distributions. Also there are a lot of typos. Some exercises overcomplicate things, e.g. they are not about understanding a concept but giving you hard calculations to do. OK, as far as positive things about it: Some examples are good, definitions are precise, and most of exercises will make you think. Overall, I would recommend it only if you have mastered the basics. It would probably be useful with an excellent teacher who would explain the concepts to make you look at the material from a different point of view.

Advanced Text - Poor Reference Tool, Many Typos
I used this book in a class that I took for intermediate statistics, a mid-level graduate course in the statistics department at a top university.This is an advanced book on mathematical statistics.In general, I found that if I had significant exposure to a topic previously, I could easily understand the text.Sections of the book containing topics new to me, however, were difficult to understand.The biggest failure of this book to me is that it serves as a poor reference tool.Definitions, theorems, and important concepts are often hidden in paragraphs nestled between examples.There is no appendix or list of distributions, moment generating functions, etc.The index is incomplete.A second negative aspect of the book is that there are many typos.The extent of the typos often increases the difficulty of understanding the text.

Overall, this book should never be used for an undergraduate course.I also do not recommend this book for use in a graduate course, unless some later edition with heavy revisions is released.I strongly recommend not buying this book for personal use as a reference tool.

The Worst.
This book does not, as the editorial review claims to be "a balanced, practical text that brings life and relevance to a subject so often perceived as irrelevant and dry".Rather, it makes what is already irrelevant and dry as even moreso.Not only that, but there are many typos that only confuzzle the reader even more.It reads as though it was written by a robot.There is no human touch to this text at all.This book is "clearly" and "obviously" inconclusive and I for one would love to never see it again. ... Read more

Product Description
Real World Data Sets with new problems along with ARIS, McGraw-Hill's Homework Management System, define what this second edition has to offer. Within ARIS, Navidi offers 300 algorithmic practice problems along with Java applets that allow students to interactively explore ideas in the text. Customizable PowerPoint lecture notes for each chapter are available as well, along with suggested syllabi, and other features. More information can be found at aris.mhhe.com.

This new edition includes more than 200 new exercises, a new section on point estimation on histograms, and provides discussion of Chebyshev’s inequality. ... Read more

Customer Reviews (10)

OK, not the best, not the worst
I have taken several statistics courses.This book is ok at explaining concepts their usages.The books that have had for business courses were much better.The LEAST that this book could do would include methods for minitab and/or excel.Also providing examples that tie into industry (such as Six Sigma and SPC) would also be very relevant.

Good used book
The book is in good condition and has some highlighting like the seller said. But prompt delivery

BUY THE SOFTCOVER INTERNATIONAL EDITION!
If you can get your hands on the softcover international second edition, it is EXACTLY the same as this hardcover second edition.I risked purchasing the softcover edition for use in a class at my university and later compared the two versions.They are PERFECTLY identical from the examples and problems to the text.Even the page numbers are exactly the same.I found a softcover for less than [...]; it saved me about [...].I definitely recommend the softcover.

They can be difficult to come by sometimes, but here are the links for the amazon listings.

Statistics for Engineers and Scientists 2nd (softcover international edition)

and another...

[...]

Good Shape
The book itself is in excellent condition with only an occasional hand-written comment throughout the pages.The instructional DVD with example programs was missing.

very useful book
This book is very useful.
I am a graduate student in science major. This book is both a good introduction and reference for statistics. ... Read more

Product Description
This volume will help you recapture the statistics theory you once learned, but has since faded away. The first of the book's two main parts reviews essential statistical concepts. In addition to basic topics, part II is an alphabetical reference section and extensive appendices which include statistical tables for normal, Chi-Square, t, and F distribution, information on doing statistical calculations with both computer software and your calculator, and much more. This teach-yourself refresher course can also be used as a supplementary text by students currently enrolled in a statistics course. ... Read more

Customer Reviews (4)

Excellent stats primer
This is an outstanding book for any professional that finds himself immersed if not overwhelmed by an increasingly quantitative world.This book provides you an excellent foundation in basic statistics that can readily allow you to build upon by studying more advanced stats if you care to.Thus, this book is a good stepping stone for Intuitive Biostatistics if you want to easily deepen your knowledge of statistics and care to understand better medical studies.

The book is subdivided in two parts.The first part teaches you the basics.The second part is a good reference section often covering some more advanced material.

I also recommend the other two books in this "Forgotten" series if you care to refresh other math areas: Forgotten Algebra and Forgotten Calculus.

Excellent Supplemental Text to a variety of stats courses!
Like most students,I was not looking forward to my Introductory Statistics course. However, knowing that I had to do it I made certain to purchase several supplemental texts to aid in clarification when the textbook failed to do so. Although the title says 'Forgotten Statistics' it does serve as an aid to those who are entirely new to the subject as it presents the concepts in a logical fashion( the book is divided in two sections one for concepts and problems the other with definitions). This book has remained in my backpack the entire semester. So much, in fact, that I find myself going over problems during my liesure time. This book has served me rather well. It has not required lots of additional time in learning and problem solving. My GPA and I are happy about that.

Statistics: More Interesting The Second Time Around
This is an excellent refresher for Statistics, laid out logically and with ideas clearly illustrated graphically.Published by Barron's, these"Forgotten" books are nicely oriented toward the professional whoneeds to brush up on a subject in order to make competent decisions andcommunicate intelligently.

"Statistics and Probability" isone of those amazing sciences that we take for granted from childhood, butthe more we think about it (as we get older, regrettably), it begins todawn on us that this is the catalyst of many mysterious processes, such asthe forces of life overcoming entropy.Science has rather recentlydiscovered that there is really no such thing as "randomness",with the advent of Chaos Theory bringing down the walls of the last bastionof that idea.Statistics and Probability then become the focus of means bywhich some form of Higher Intelligence manages to do its business under ournoses without us having a clue as to its presence!

Just the Facts, Mam
This review book is formated in such a way that I can actually help my child with homework. I go directly to the section she's learning, and can quickly review the section that's current to her learning needs.She and Ican do the reviews together and this wouldn't be possible without thisbook. I especaily like that I don't have to refer to hundreds of pagesbefore being able to help my child. ... Read more

Product Description
Used by hundreds of thousands of students, market-leading INTRODUCTION TO PROBABILITY AND STATISTICS, Thirteenth Edition, blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts--and see their relevance to your everyday life. The new thirteenth edition retains the text?s straightforward presentation and traditional outline for descriptive and inferential statistics while incorporating modern technology--including computational software and interactive visual tools--to help you master statistical reasoning and skillfully interpret statistical results. Exciting learning tools like MyPersonal Trainer, MyApplet, and MyTip ensure that you thoroughly understand chapter material and give you hands-on experience putting it into action. Drawing from decades of classroom teaching experience, the authors clearly illustrate how to apply statistical procedures as they explain how to describe real sets of data, what statistical tests mean in terms of practical application, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. Statistics can be an intimidating course, but with this text you will be well prepared. With its thorough explanations, insightful examples, practical exercises, and innovative technology features, INTRODUCTION TO PROBABILITY AND STATISTICS, Thirteenth Edition, equips you with a firm foundation in statistical concepts, as well as the tools to apply them to the world around you. ... Read more

Customer Reviews (17)

Very good seller
My textbook came only three days after I placed the order. Very fast and decent description of the product that accidently left out the detail of the glued cover of the product. Nevertheless, no complaints from me other than I was wondering why the seller never included a tracking number on the shipment. Thank you very much Jolly Ranger.

Not for entry level Stats
I think this is a great text if you already know the material. I had to purchase for a required Stats 1600, entry level, class. It seems like the focus of this text is to confuse the student rather than educate. By midterm I found a Stats tutor and even he had trouble following the text and was amazed how the authors complicated relatively simple material. If possible try and avoid this text and Professors PLEASE stop using this text in your Stats classes!

Ok, Bordering on Good

This book is suitable for an introductory course in probability and statistics.That's about it.Heaven help you if you are using this book in a more advanced course because the problems don't come close to preparing you for the storm of pain some professors can inflict.

The book does a good job summarizing concepts and formulas.If you're expecting proofs, well, brace yourself for disappointment.If you fear proofs, then this book and you will get along swimmingly.

The biggest complaint is that there needs to be far more challenging homework problems.However, they do a great job of explaining how to use Minitab.

Very poorly written
I am enrolled in my Masters in Statistics and Epidemiology. For my Epi I had to take an introductory stats class and though I have taken classes that are far more complex, I felt this book lacked organization and perhaps the worst statistics book I have ever had to read. Thus it received a one star.

Did not use but looks good
Even though I didn't get to use this textbook it looked like a great intro to STATS. (That's why I gave it a 3 out of 5 stars). I took STATS in high school and the textbook was pretty old (written in the 90s or early 2000s). This one seemed as if it stuck to the needed material and took a step-by-step approach to introducing college students to the world of statistics. ... Read more

Product Description
Model formulae represent a powerful methodology for describing, discussing, understanding, and performing the component of statistical tests known as linear statistics. It was developed for professional statisticians in the 1960s and has become increasingly available as the use of computers has grown and software has advanced. Modern Statistics for Life Scientists puts this methodology firmly within the grasp of undergraduates for the first time. The authors assume a basic knowledge of statistics--up to and including one and two sample t-tests and their non-parametric equivalents. They provide the conceptual framework needed to understand what the method does--but without mathematical proofs--and introduce the ideas in a simple and steady progression with worked examples and exercises at every stage. Students learn a single conceptual framework for a wide range of tests often introduced separately, including t-tests, oneway and multiway analysis of variance, linear and polynomial regressions, and analysis of covariance. More importantly, students learn a language in which they can frame questions and in which they also communicate with the computer that performs the analyses. All the examples and exercises are available in separate online documents in Minitab, SAS and SPSS. For students who go on to research, model formulae in linear models are the best springboard from which to reach an understanding of more advanced methods such as logistic regression and log-linear models. This book is appropriate for use in statistics courses at undergraduate and graduate levels. It is also a helpful resource for students of non-mathematics-based disciplines using statistics, such as Geography, Psychology, and Epidemiology, as well as for postgraduate researchers in the Life Sciences. ... Read more

Customer Reviews (1)

Very nice.
Very nice price, and the book is really NEW! I can't tell it from those on shelves in the bookstore. It also arrived very fast. Thanks~ ... Read more

Product Description
Specially designed for nonmathematics majors, this study guide thoroughlyreviews the math needed to understand statistics. And it includes--andsolves step by step--scores of the kinds of problems that come up in suchfields as anthropology, biology, business, earth sciences, government, medicine, psychology, and sociology. A perfect supplement to the leading textbooks, students willalso find this book ideal for independent study. Supplementary questionsaid self testing. ... Read more

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Customer Reviews (1)

Abridged edition of "Basic Practice of Statistics"
This book is the abridged edition of the Author's previous book (Basic Practice of Statistics). The previous book contains exactly all of this book's chapters, page by page. The book is splendid. I was very bad in statistics and had repeated the Statistics class several times because I would either withdraw or fail till I got this book; and I loved reading and understanding this book. I got an A in the class, and I still keep the book for future reference. Very much recommended. ... Read more

Product Description

This solid text presents ideas and concepts more clearly for students who have little or no background in statistics. The Twelveth Edition retains all the elements and style that educators nationwide have come to expect—clear prose, excellent problems and precise presentation of mathematics involved—while eliminating some of the computational drudgery.

Customer Reviews (8)

Generic textbook.
If performing any type of self taught work, expect to use this title for a paper weight. Without prior experience, I found the book to be difficult to follow and the practice examples poor. The book also seemed very far out of date.

An invaluable text!
It has been motive of special interest in this semester to have found this text. In my section of Statistics for students of Adverting, Exterior Commerce, Administration and Informatics, due it contains the always considered material of extreme difficulty and troublesome analysis for most of people who has to confront this subject.

The theory is exposed with clarity, zealous programmed, with abundant visual diagrams as well as a set of adjusted and concerning problems related with their field.

So please, take my advise and try to get as soon as possible.

I certificate it!.

Do not buy this book
This book is terrible. It doesn't feel like a coherent work, there are several typos within the text itself and the "solutions" to the odd problems in the back are incorrect in some cases. It does not explain the material clearly at all. If it weren't for my professor I would be totally lost. Don't misunderstand me, I make A's and B's in all my other classes (Finance, Accounting, Management, Algebra, etc.) and I know I can learn this material, but not from this gibberish. The book itself is not even aesthetically pleasing in its layout. I may be just nit picking on that last point but for over a $100 price tag I think I am allowed to be.

Just from reading the content in the book I gather that the author is from the Oregon/Washington area. Kind of makes you wonder who made the amazing review of it first..........

Wow!!! I finally understand!!
This book by John E. Freund just made a lot of sense.I took stats a few years ago and did well, but was lost in a couple concepts.This book explained in laymen terms and allowed the reader to ask the questions in his or her head and find the answer not much farther in the book.
I love the statistics discipline anyway, so it probably means I seek out this type of information.
If you are looking for a great addition to your college text or just want to have some light reading, buy this book.

excellent introductory text
One of the clearest introductory textbooks on probability & statistics. It compares well with Freedman & Purvis's "Statistics" in clarity of presentation. In one respect Freund improves on Freedman by not being afraid to show students the actual formulas to use for solving problems. (Another good intro is Russell Langley's "Practical Statistics".) ... Read more

Product Description
This is an introductory applied statistics text that can be used for a one- or two-semester course at either the undergraduate or graduate level. Central features are its hands-on approach; the use of real data; the wealth of exercises and illustrated examples using these data; the complete set of detailed answers to exercises in an appendix; the presentation of statistical methods with a clear, conceptual emphasis that includes an historical account of each method; and the integration of SPSS in a way that reflects statistical practice. Step-by-step instructions for using SPSS are provided as each new analytic procedure is introduced. A data CD is included with the text so that students may conduct their own statistical analyses and learn firsthand how statistics is used in practice. ... Read more

Customer Reviews (1)

Statistics Using SPSS
If your trying to learn Sta. this a great start this book is easy to follow, and interesting. ... Read more