Product Description
This text is an accessible, student-friendly introduction to the wide range of mathematical and statistical tools needed by the forensic scientist in the analysis, interpretation and presentation of experimental measurements.

From a basis of high school mathematics, the book develops essential quantitative analysis techniques within the context of a broad range of forensic applications. This clearly structured text focuses on developing core mathematical skills together with an understanding of the calculations associated with the analysis of experimental work, including an emphasis on the use of graphs and the evaluation of uncertainties. Through a broad study of probability and statistics, the reader is led ultimately to the use of Bayesian approaches to the evaluation of evidence within the court. In every section, forensic applications such as ballistics trajectories, post-mortem cooling, aspects of forensic pharmacokinetics, the matching of glass evidence, the formation of bloodstains and the interpretation of DNA profiles are discussed and examples of calculations are worked through. In every chapter there are numerous self-assessment problems to aid student learning.

Its broad scope and forensically focused coverage make this book an essential text for students embarking on any degree course in forensic science or forensic analysis, as well as an invaluable reference for post-graduate students and forensic professionals.

Key features:

• Offers a unique mix of mathematics and statistics topics, specifically tailored to a forensic science undergraduate degree.
• All topics illustrated with examples from the forensic science discipline.
• Written in an accessible, student-friendly way to engage interest and enhance learning and confidence.
• Assumes only a basic high-school level prior mathematical knowledge.

Product Description
Succeed in statistics with ELEMENTARY STATISTICS! Including relevant examples, exercises, and applications, this textbook gives you the tools you need to get a good grade in your statistics course. Struggling with a specific concept? Log onto Personal Tutor with SMARTHINKING to get live, one-on-one online tutoring from a statistician who has a copy of the textbook. Video Skillbuilders and StatisticsNow (an online learning tool built around your individual progress that gives you a simple pre-test, and then focuses your learning experience on your studying needs) provide additional online support. Learning to use MINITAB, Excel, and the TI-83/84 graphing calculator is made easy with instructions included in relevant sections throughout the text. ... Read more

Customer Reviews (7)

Good

Fast shipping, I got it in 3 days. The book it was in pretty decent shape.

Great!
Book came on time and was in the shape I was told it would be in!

Concerning Textbook
Very satisfied on this book purchase, and the tracking information is greatly appreciated. Thank you! :)

what i expected
I am having trouble with the cd but i think that is my operating system. The book came in a short time and was perfectly intact.
I buy alot of my school books on amazon and have not had any issues.
Jenn

Required text, would consider other options if for personal use
This was required text so I really didn't have a choice choosing what book to use. The book is not written in a student friendly manner while the directions on how to use minitab, excel and graphing calculators are helpful the bulk of the content is not written in layman's terms and the examples are poor as well. For self-study or generally any purpose I would not recommend this book. I had to look-up definitions elsewhere for it to make sense. ... Read more

Product Description
Users of statistics in their professional lives and statistics students will welcome this concise, easy-to-use reference for basic statistics and probability. It contains all of the standardized statistical tables and formulas typically needed plus material on basic statistics topics, such as probability theory and distributions, regression, analysis of variance, nonparametric statistics, and statistical quality control.For each type of distribution the authors supply:?definitions?tables?relationships with other distributions, including limiting forms?statistical parameters, such as variance and generating functions?a list of common problems involving the distributionStandard Probability and Statistics: Tables and Formulae also includes discussion of common statistical problems and supplies examples that show readers how to use the tables and formulae to get the solutions they need. With this handy reference, the focus can shift from rote learning and memorization to the concepts needed to use statistics efficiently and effectively. ... Read more

Customer Reviews (2)

Great book but ...
This is a great book covering all the details about statistics but you may wish to consider purchasing CRC Standard Mathematical Tables and Formulae instead. It covers most of the contents of the stats book for a few dollars more.

Good Complement to Statistics Texts
This reference is a good complement to a collection of standard statistics texts. Often, those texts have good explanations of their concepts. But then provide only limited tables of commonly encountered distributions. Part of this may be that to those authors, such tables let them add relatively little value. To an author, her value is in her origina musings, and not necessarily in filling the latter part of her book with reams of tables.

Thus, there is a natural inclination of statistics authors to only provide a modicum of tables. The barest minimum! Well, your answer to this might be to amass several texts, so that hopefully, the tables you need can be found in one of these.

An alternative is to get this book. Not a text, but a reference manual. Though the editors thoughtfully precede the tables with brief explanations of their usage and some cogent examples. You will find here the most commonly needed distributions in an easy to find and use format. ... Read more

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Confusing Textbooks? Missed Lectures? Not Enough Time?

Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.

This Schaum's Outline gives you

• Practice problems with full explanations that reinforce knowledge
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Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores!

Schaum's Outlines-Problem Solved.

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Customer Reviews (16)

Terrible-riddled with GLARING errors
This book has so many mistakes that it becomes difficult to interpret what the authors meant. Incorrect conclusions are drawn from the examples given. I would be ashamed to put my name on this work, especially as a proofreader or editor. Totally unacceptable for a mathematical text. I wouldn't trust the results of the author's statistical work, even though she enjoys belittling other people's work throughout.

Outstanding Book - Highly Underrated
I have read many popular statistics books and textbooks.This is quite possibly the best-written book of it's type, a concise introduction/review, and introductory (first-year stats) reference.I'm writing this because I don't think the existing reviews generally give this book enough credit.What's so good about it?

(1) The writing: very clear and concise.But not so concise so as to be difficult or "mysterious."When reading the book, there there several times when I read something, didn't quite understand the point, was certain that the author had tooquickly skimmed over the topic, only to turn the page and see a clear two or three paragraph explanation of the point I was trying to understand.The level at which the material is covered is just perfect for this sort of use: not too short so as to leave something out; not too long so as to make topics too complicated.The questions at the end of chapters are "just right" too.They are well chosen, clear, not superficial, but not too difficult.

(2) The organization of topics is very well done.The flow is very natural, and lends itself to effective and efficient coverage of the material.

This may not be the best book to learn statistics from scratch (perhaps a bit too concise, but actually still not too bad), and certainly not a good choice if you are looking for coverage or a reference for advanced topics.But if you are looking for a review, and perhaps an easy to read basic statistics reference, it can't be beat.Quite possibly the best book for this purpose available.

Hope this helps...

Most Errors Have Been Corrected.
I recently received this book and immediately went to the O'Reilly errata [...]There was an extensive list, but after going through it I found that about 80% of the errors noted on it had already been corrected despite the fact that the book I received is still marked "First Edition".

I have yet to read the book, so please take my 4 star rating with a grain of salt, but I had to include that to publish this review. That being said, the fear of excessive typos and errors should no longer deter you from considering this book.

Excellent road map to selecting a statistical test
For a very long time I had been looking for a basic book--a sort of map if you will--to the myriad number of statistical tests available for conducting research. After speaking to multiple people and reviewing many books, I finally stumbled into two gems. The first one is Learning to use statistical tests in psychology by Judith Greene and Manuela D'Oliveira (209 pp.) Learning to Use Statistical Tests in Psychology. I loved the second edition but bought the third edition, which follows a similar line. In the third edition, however, the most important feature of the book, a set of decision charts fell off. The third edition only includes one chart and so you better make sure it is included before you buy, or write to Open University Press and they will send you a PDF you can print and paste in the back cover. The book is interesting and reads like a page turning novel. The focus is on helping you decide which of the many statistical tests should be selected when conducting a research study. I was looking for a book that spoke about Likert-type questions and the analysis required (answer = Chi-square) and was surprised that Likert scales are not mentioned. The advantage of the Greene-D'Oliveira book is that it has the decision chart and is translated into Spanish (which is important for me). A week later I found the second book, Statistics in a Nutshell: A Desktop Quick Reference by Sarah Boslaugh and Paul Andrew Watters (O'Reilly, 452 pp.) that had everything I was looking for and more. The book is also very well written and entertaining. It has a better index and includes a discussion of Likert scales and the Chi-square. Besides being more thorough, Boslaugh-Watters provide a better discussion of statistical packages. If I could only choose one of the two books, I would purchase Boslaugh-Watters, but I am thrilled to have found both of these superb reference books.

Too many errors.
I purchased this book to brush up on some of the more advanced topics in statistics. As I remembered my undergrad stats experience to be a lot of proofs, I was drawn in by the "solid understanding without the numbing complexity of most textbooks" on the back cover.

There are just too many errors to be useful. I found myself going back more and more to my old statistics textbook from college. The examples are clearer and there are better problems to work through. And guess what? You can skip over the "numbing complexity" and still get more from a textbook than you will from "Statistics in a Nutshell."

Furthermore, I don't trust this title as a reference, as I typically have to validate what I'm researching with another textbook. It's quicker and easier to go to a source you know is correct from the start.

O'Reilly really needs to step up for this sloppy book: correct the mistakes and offer those of us with the first versions a free trade-in to the corrected version. ... Read more

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Customer Reviews (2)

pretty good for a review
It is a pretty good book for making a review for someone who already know almost every pieces of statistic. It is so brief, not take much time to read, have a lot of examples but it won't go into detail much. If you never know what is stat, it's not really the book you want. If you want only reminder tool, it's perfect.

fair condition for the price
book is in decent condition given the price, however, CD did not come with book as stated. ... Read more

Product Description
In the numbers explosion all around us in our modern-day dealings, the buzzword is data, as in, “Do you have any data to support your claim?” “The data supported the original hypothesis that . . .” and “The data bear this out. . . .” But the field of statistics is not just about data. Statistics is the entire process involved in gathering evidence to answer questions about the world, in cases where that evidence happens to be numerical data.

Statistics For Dummies is for everyone who wants to sort through and evaluate the incredible amount of statistical information that comes to them on a daily basis. (You know the stuff: charts, graphs, tables, as well as headlines that talk about the results of the latest poll, survey, experiment, or other scientific study.) This book arms you with the ability to decipher and make important decisions about statistical results, being ever aware of the ways in which people can mislead you with statistics. Get the inside scoop on number-crunching nuances, plus insight into how you can

Product Description
If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trials on "People's Court," or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy.

The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trails, the Central Limit Theorem, hypothesis testing, confidence interval estimation, and much more--all explained in simple, clear, and yes, funny illustrations. Never again will you order the Poisson Distribution in a French restaurant! ... Read more

Customer Reviews (64)

Cartoon Guide to Statistics
I really am enjoying this book and it puts the humor factor into struggling through a Statistics class at a local university.I would recommend it for both the information and for the comic relief when Statistics gets just TOO stressful!
I have to say that service was excellent...I received the book in just a few days after ordering it and it was in excellent, brand new condition.

Serious yet not that practical
The content is of high quality and complex. This is not yet another statistics for dummies. If you have no background on statistics, you will be challenged reading this book. It doesn't water-down statistical concepts too much. It gives the conceptual (as opposed to totally quantitative view) of statistics in a cartoon format with plenty of well-thought out examples (both real life and hypothetical).

The downfall of this book, of course, is that it doesn't provide statistical practice problems and solutions. In my humble opinion, the best way to learn statistics, or any other quantitative subject, is through lot of practice and mental challenges. Although your conceptual understanding of statistics will be enhanced through this book, your actual applicable knowledge of statistics may still remain stagnant.

This might be a good first book or even a good review of statistics. But certainly, this book is not adequate for those who want to learn statistics for application to real data.

Still, this is immensely well contemplated book and I must congratulate the authors for creating a thought provoking statistics overview book without too many statistical equations and problems. I also enjoyed the cartoons and humor.

Very Helpful!!!!
I wish I had known about this book, the first time, I took Statistics. This book is helpful because it puts the formulas and problems in a more layman type explanation. My last instructor had a degree in mechanical enigineering & statistics; therefore, she taught the class as if everyone was on her level of knowledge with this crazy math!!! I love this book!! It is worth the money!!

Comforting Cartoon Therapy for the Statphobic
This book was listed as an optional textbook for an introductory statistics class, placing it on a shelf in the campus bookstore next to a book I needed to buy.My eye was attracted by the cartoon cover and, after a quick scan, I decided to buy it.It was worth it.

Larry Gonick and Woollcott Smith cover the same content as many introductory statistics books.The eleven core chapters cover basic statistical concepts, the nature of data, and the essentials of probability, random variables, distributions, sampling, confidence intervals, hypothesis testing, comparing samples, designing experiments and regression.It is a lot of material that flows quickly.The final chapter introduces "a biased sample" of advanced statistical techniques.A bibliography--reasonably up-to-date when the book was published--points the reader on to further learning about statistics.

The book's title gives the fun part away.The authors use the panel-by-panel presentation style and humorous asides of cartoons as their primary mode of presentation.This works surprisingly well.It makes readers--particularly those intimidated by statistics--comfortable and ready to just read the panels.An instructionally useful side effect is the repeated use of graphical rather than textual definitions of statistical concepts.The tongue-in-cheek humor reinforces the relaxing experience of reading cartoons and eases the learning experience.

I have never required this book as a text for a statistics class.But I have listed it as an optional text and I have loaned it to a student or two.It is good therapy for those afraid of their first statistics class.And it's a fun read for those who have already passed this hurdle.

The Cartoon Guide to Statistics
Great supplement for someone taking a statistics course. Makes some difficult concepts easier to understand. ... Read more

Product Description
Your complete guide to a higher score on the *AP Statistics exam

Why CliffsTestPrep Guides?

Go with the name you know and trust

Get the information you need--fast!

Written by test prep specialists

About the contents:

Part I: Introduction
* Exam content and format outlines
* Calculators policy
* Tips on answering free-response questions
* AP exam grades and what they mean


Part II: Subject Area Reviews
* Interpreting graphical displays
* Collecting, exploring, comparing, and summarizing data
* Planning and conducting surveys and experiments
* Anticipating patterns
* Understanding statistical inference
* Subject area review questions with full answer explanations


Part III: AP Statistics Practice Tests
* 7 full-length practice tests with full answer explanations


Plus:
* Glossary of statistics terms
* Statistics formulas
* Comparison of graphical displays
* Summary of inference methods ... Read more

Customer Reviews (3)

Wonderful resource
I used this book a lot during the past school year.I taught statistics for the first time and needed some extra help.This book was wonderful.It has great examples and easy explanations for various topics.I recommended this book to my students.Many bought the book as well to help prepare them with the Advanced Placement test.Thanks for such a good book.

Really good review for test and class
This book does cover all the topics necessary for the AP Stats exam.It provides easy and through examples and questions at the end, with allt he answeres explained.Its really good for the class too because it review important concepts and if u dont get something, then just look into this book and it should give u the answere.Its practice questions are close to the actual exam.THe book also will refresh your memeory of any topic and gives you tips on not falling into ETS traps.
really good book

Good for review!
Although I have yet to take the AP Statistics exam, this book has certainly helped me in class. Our textbook (and our teacher) don't really do a thorough job in explaining the concepts. Often, before tests, I will look up a section in this book and learn how to do it from Cliffs!

There are a lot of AP Stat books out there, but they all cover a different assortment of material. Although I cannot guarentee that this is the material one needs for the exam, I know that it explains it THOROUGHLY. They have plenty of example problems that are worked out in ways so that you can follow along each step. I find the example problems and questions the most helpful part of the book. They also give very detailed free response, which is great for practice. ... Read more

Product Description
Whether you're a student or practicing researcher, STATISTICS WITH STATA opens the door to the full use of the popular STATA program -a fast, flexible, and easy-to-use environment for data management and statistics analysis. Integrating STATA's impressive graphics, this comprehensive book presents hundreds of examples showing how you can apply Stata to accomplish a wide variety of tasks. Like STATA itself, STATISTICS WITH STATA will make it easier for you to move fluidly through the world of modern data analysis. ... Read more

Customer Reviews (3)

Good book for Social Scientists
This an excellent resource for those who have had statistics and just need a guide on commands and regression techniques. It is the best book of the 3 different supplemental Stata books I purchased during my time in graduate school.

Best STATA book ever
This is by far the best STATA manual you could ever find. It is easy to use,has many helpful examples, and you could pretty much find solutions for any programming issue you need by using this book. Buy it and you won't regret it. Seriously, most books on the market do not even come close to how good this book is. I recommended it to several of my graduate students colleagues and everyone loved it and bought it.

Bridging the gap
This text bridges the gap between strictly statistical texts and Stata's technical or programming manuals.Very helpful for those who are new to Stata. ... Read more

Product Description
Probability and Statistics are studied by most science students. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. The strength of this book is that it readdresses these shortcomings; by using examples, often from real-life and using real data, the authors show how the fundamentals of probabilistic and statistical theories arise intuitively. A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to students. In addition there are over 350 exercises, half of which have answers, of which half have full solutions. A website gives access to the data files used in the text, and, for instructors, the remaining solutions. The only pre-requisite is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to the Poisson process, and on to modern methods such as the bootstrap. ... Read more

Customer Reviews (6)

Great Introduction to Probability
I thought this a remarkably clear and well written introduction to probability. I've tried to teach myself some probability and statistics over the years with a number of books, but this is the first that really presented the topic in an enjoyable and easily digestible manor. This is not a super formal math text,but all the ideas presented are backed up with nice proofs and arguments.

My background is in physics,and certainly having a reasonable math background smooths the way.

Missing a few steps
Unfortunately this book severely lacks step by step examples and makes many assumptions about what the reader does and does not know. I know calculus but most of the steps in the example problems are skipped over. Each chapter is divided into four or five sections but each chapter is only around ten pages long. This means that an entire section of knowledge is crammed into two pages. Add in that half of a page is usually used for a picture and you end up with a book full of theorems but lacking in substance. These aren't even formulas per say but instead are chapters filled with starting points. To elaborate about how bad this book is; I bought a study guide which has more full detailed step-by-step answers than this book. In fact the "full answers" in the back generally consist of one sentence answers but there are no graphs or step-by-step guidance.

Very hard to understand
We used this book in our Introduction to Probability course at Georgia Tech. This book is written in a not-so-easy to understand matter and is good for someone that has a strong background in math. A few of my friends doing their Ph.D were helping me with this course and they also found this book hard to understand as well. If you read the text you're still gonna have such a hard time doing the exercises because it doesn't explain everything smoothly. I searched through the internet to find a solution manual for this book and simply they don't have it. You only get the solution if you get the teacher version. The book is written and published in Netherlands and it doesn't have any online resource for students. If you have to buy this book for your class make sure you get "Schaum's Outline of Probability, Random Variables, and Random Processes" or a similar book for extra help, otherwise you'll regret like I do.

Excellent book, but needs proofreading
I have a strong general background in math, but not in probability and statistics.I use this book for self-study, and I find that it fits that purpose excellently.There are plenty of examples, and problems are adjusted so that they focus more on principles and understanding rather than on grunt-work calculations.

My main objection, and the reason for giving it 4 stars, is English language.I am not a native English speaker, and it's obvious that none of the authors is either.Even worse, I encounter at least one misleading, or hard to understand sentence per chapter (mostly among problems).The book most definitely needs proofreading and language corrections!

Great for learning if you're prepared
This book reads easily because it gives many concrete examples and uses a tutorial approach to teaching. However, you still need to know some math! You don't need a math degree. A good first course in calculus covering derivatives and integrals, including logs and exponentials, and some introductory combinatorics (basic knowledge of sets, permutations and combinations) is enough. Any sophomore or, at the latest, junior majoring in engineering or hard science has the prerequisites.

An understanding of probability is necessary for understanding statistics, so the first half of this book is probability. Without probability, statistics becomes something like "here are some facts, trust me, now here are some formulas, recipes and tables and you will learn when to use each one". For many people this may be enough, especially if they just need to get something done. But if you want to know why hypothesis testing is done the way it is and how it works, buy this book. For example, many statistics books just assume a normal distribution for sampling and the only thing you need to learn is when to use a one-tailed or two-tailed test and which formula to use. This is valid when working with sufficiently large populations or samples. In contrast, the worked example in this book does not use a normal distribution and it walks you through the reasoning and calculation. The reasoning is applicable to any population and distribution. When you change to a normal distribution the principles remain the same, only the formulas change. You learn the principles.

Now to the book's style. This is a tutorial style book that teaches using examples. It doesn't skip many steps and can feel somewhat chatty. It repeats simple calculations along the way so you don't have to page back and find where that number was calculated. This keeps the flow going. Learning by example is actually a good way to learn if you are new to the material. Some however, may not like this style, so read some online first before buying. If you already have probability under your belt and are up on your math then you may find this book slow going. This book is aimed at scientists and engineers, so if you are looking for a rigorous math book with proofs, look elsewhere.

Summary: If you've got the prerequisites then this is a great book for self teaching at a good price. If you are lacking in math and you need to do statistics now, then pick up a "cookbook" statistics book and come back later when you have the math background. If you know your stuff and need a reference, look elsewhere. ... Read more

Product Description
This book should be of interest to senior undergraduate and postgraduate students of applied statistics. ... Read more

Product Description

For three decades, Henry Neave’s Statistics Tables has been the gold standard for all students taking an introductory statistical methods course as part of their wider degree in a host of disciplines including mathematics, economics, business and management, geography and psychology. The period has seen a large increase in the level of mathematics and statistics required to achieve these qualifications and Statistics Tables has helped several generations of students meet their goals.

All the features of the first edition are retained including the full range of best-known standard statistical techniques, as well as some lesser-known methods that can be hard to track down elsewhere. The explanatory introductions to each section have been updated and the Second Edition benefits from the inclusion of a valuable and comprehensive new section on an approach to simple but powerful investigation of process data. This will help the book continue in its position as the prime statistical reference for all students of mathematics, engineering and the social sciences, and everyone who needs effective methods for analysing data.

Product Description
A fresh, less formal treatment of classical theoretical probability and statistics is written at an accessible level, with a Bayesian flavor and an emphasis on data and interesting applications. It is designed for the two-term calculus-based mathematical statistics course at the junior level. ... Read more

Customer Reviews (2)

Easy introduction
The book is good as an introdution to statistics, explaining the concepts mainly through examples. (Which i prefer) The way the material is devided into chapters is not the most obvious way...

Readable
One can hardly expect much novelty from a book written in such an established field as statistics. Conditional approach is given satisfactory treatment, although some examples in the study-guide are not error-free. ... Read more

Product Description
A Classic adapted to modern times

Rewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark First Edition by teaching with examples, readily understood graphics, and the appropriate use of computers. Catalyzing innovation, problem solving, and discovery, the Second Edition provides experimenters with the scientific and statistical tools needed to maximize the knowledge gained from research data, illustrating how these tools may best be utilized during all stages of the investigative process. The authors’ practical approach starts with a problem that needs to be solved and then examines the appropriate statistical methods of design and analysis.

Providing even greater accessibility for its users, the Second Edition is thoroughly revised and updated to reflect the changes in techniques and technologies since the publication of the classic First Edition.

Among the new topics included are:

• Graphical Analysis of Variance
• Computer Analysis of Complex Designs
• Simplification by transformation
• Hands-on experimentation using Response Service Methods
• Further development of robust product and process design using split plot arrangements and minimization of error transmission
• Introduction to Process Control, Forecasting and Time Series
• Illustrations demonstrating how multi-response problems can be solved using the concepts of active and inert factor spaces and canonical spaces
• Bayesian approaches to model selection and sequential experimentation

An appendix featuring Quaquaversal quotes from a variety of sources including noted statisticians and scientists to famous philosophers is provided to illustrate key concepts and enliven the learning process.

All the computations in the Second Edition can be done utilizing the statistical language R. Functions for displaying ANOVA and lamba plots, Bayesian screening, and model building are all included and R packages are available online. All theses topics can also be applied utilizing easy-to-use commercial software packages.

Complete with applications covering the physical, engineering, biological, and social sciences, Statistics for Experimenters is designed for individuals who must use statistical approaches to conduct an experiment, but do not necessarily have formal training in statistics. Experimenters need only a basic understanding of mathematics to master all the statistical methods presented. This text is an essential reference for all researchers and is a highly recommended course book for undergraduate and graduate students. ... Read more

Customer Reviews (9)

Good reference book for taking the C.Q.E. Also a good book to better understand D.O.E.
I got this book to help me prepare for the CQE. This is book is a good reference for the CQE and also it helped me know more on DOE.

useful for anyone who want to learn from experiments
First: the BOOK is very well written. Box is an true expert on his field, and a good writer. How well his style and pedagogic layout 'connects' with you will depend on your humour (if any), whether you will use it for study or reference, and your background (specifically this book is written with an eye to manufacturing industry, not just chemo/bio disciplines).

Second: the TOPIC of experiment design (and strategy) is extremely useful to understand. If you are involved in industrial experiments (as opposed to data analysis) this is far more useful than the statistics you learned at university.

In my opinion the 'how' (the various design types, tests, plots etc) is actually secondary, the most useful is to understand *why* and *when* to design experiments. The authors do a good job here too, it's possible to get the essentials without getting bogged down in the statistics.

Conclusion: if you want a solid book on this topic (and you do!), then I recommend this one.
[...]

classic revised
I am a mathematical statistician and I appreciate and understand modern books on experimental designs such as the book by Wu and Hamada.However, the first edition of this book became an immediate classic because George Box is a genius and is from a rare breed of statisticians who have strong theoretical and practical experience in statistical methods and in this case statistical design.Stu Hunter and Bill Hunter are two other statisticians with strong applied backgrounds in engineering and other applications of experimental design.Before you can appreciate the theory you need to understand the theory.The first edition of this book presented the concepts beautifully.This was a great help to me as I had learned the theory and the construction of factorial designs, fractional factorial designs and incomplete block designs, but never had a clear understanding of when to use them until I read this book.Other important simple designs of great practical importance are also covered extremely well.

I wrote a review of the first edition of this text.Justin Hunter appreciated it so much that he wrote a very touching email to me on this and he was very kind to send me a complimentary copy of the second edition.Justin is the son of Bill Hunter.Unfortunately Bill past away before this second edition was conceived.I believe it was partly as a tribute to Bill that George Box and Stu Hunter put together this revised edition.The spirit and philosophy of the first edition has been maintained and since the first edition had appear way back in 1978 the production of an updated edition is welcome and way over due.

Please read the book review by Justin Hunter.He is very upfront about his bias for his father but what he writes is honest and comes from an interesting and unique perspective.

BHH, 2nd Edition
Superb!If you are involved, in any way, with science or engineering, you need this book on your shelf (after you have carefully read it twice).My only complaint is that I found out about it circuitously reading Prof. Box's "Improving Almost Anything"; I was curious what the often cited BHH reference was.I think someone should have a word with the publisher's marketing department; if we don't know about it, how are we supposed to buy it?

Not ideal for planning biomedical studies
I have found it very difficult to identify a good book on study design for the biomedical industry as most are too focused on engineering/manufacturing applications.Though this book does discuss many different study designs and their theoretical underpinnings well, it does not do a very good job of explaining the issues of sample size and power.These issues are critical to designing studies in biologic settings.

If one is planning experiments on animals, it is mandatory to design studies that minimize the number of animals required to answer the scientific question at hand--given pre-specified levels of statistical power and effect size.Similarly, when experiments are conducted on humans (i.e. clinical trials) it is important to include enough patients so that adequate precision is obtained.I wish this book discussed better how to find the appropriate number of replications required to optimize experimental conclusions (like the interactions terms in a factorial experiment, for instance). ... Read more

Product Description

With more than 1,000,000 copies sold, Practice Makes Perfect has established itself as a reliable practical workbook series in the language-learning category. Now, with Practice Makes Perfect: Statistics, students will enjoy the same clear, concise approach and extensive exercises to key fields they've come to expect from the series--but now within mathematics.

Practice Makes Perfect: Statistics is not focused on any particular test or exam, but complementary to most statistics curricula. Because of this approach, the book can be used by struggling students needing extra help, readers who need to firm up skills for an exam, or those who are returning to the subject years after they first studied statistics. Its all-encompassing approach will appeal to both U.S. and international students.

Sandra Luna Mc Cune has contributed to Practice Makes Perfect Statistics as an author. Sandra Luna McCune, Ph.D., is a Regents professor and test preparation specialist in the Department of Elementary Education at Stephen F. Austin State University in Texas. She resides in Nacogdoches, Texas. Vi Cain Alexander, Ph.D., is a professor and Reading Coordinator in the Department of Elementary Education at Stephen F. Austin State University in Texas. She resides in Nacogdoches, Texas.