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Quatrième de couverture

The easy way to get down with statistics Stymied by statistics? Fear not! In easy–to–understand terms, this friendly guide shows you how to collect, graph, and critique data; decipher distributions; calculate confidence intervals and hypothesis tests; analyze data with correlation, regression, and two–way tables; and much more. The world of statistics — get a handle on the quantity and quality of statistics you encounter in everyday life Get the big picture — explore data using graphs and charts and describe data using means, medians, standard scores, percentiles, and more Results may vary — understand common statistical distributions and find out how to work with random variables, standard error, the Central Limit Theorem, and more Guesstimate with confidence — use standard error, confidence intervals, and hypothesis tests to make conclusions about a population Dig into statistical studies and their analyses — get the scoop on polls, experiments, correlation, linear regression, two–way tables, and independence Open the book and find: Plain–English explanations of statistical jargon Information on organizing, graphing, and critiquing data The 411 on random variables; the binomial, normal, t–, and sampling distributions; and the Central Limit Theorem Pointers for conducting, interpreting, and critiquing polls and experiments Data analysis tools for regression, confidence intervals, hypothesis tests, and two–way tables Plenty of examples and figures to illustrate important concepts and methods Learn to: Grasp statistical ideas, techniques, formulas, and calculations Interpret and critique graphs and charts, determine probability, and work with confidence intervals Critique and analyze data from polls and experiments

Biographie de l'auteur

Deborah J. Rumsey , PhD, is a professor of statistics and the director of the Mathematics and Statistics Learning Center at The Ohio State University. She is the author of Statistics Workbook For Dummies , Statistics II For Dummies , and Probability For Dummies .

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Couverture | Copyright | Table des matières | Extrait | Index | Quatrième de couverture
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Commentaires client les plus utiles sur (beta) 105 commentaires
22 internautes sur 23 ont trouvé ce commentaire utile 
Surprisingly decent reference for a stat business user 14 juin 2011
Par Comdet - Publié sur
Format: Broché Commentaire client Vine pour produit gratuit ( De quoi s'agit-il? )
Although my work has kept me hip deep in statistics for the past 25-odd years, I'm always faced with having to educate new hires and interns on the basics. That's always been a challenge since I either make it so simple that they don't become sufficiently comfortable with the tools they need, or I make it so complicated that they just glaze over.

So, thought this would help me create a more effective lesson plan. I had one past experience with the "dummy" book series and was not all that impressed. But, this was a very different story - it actually is a pretty decent primer on stats! No, it's not going to take the place of an intro stats class, nor will you be able to pass yourself off as a statistician even if you memorize the entire tome. But it does give a good grounding in the basic tools, and does so in a clear, easily understood manner.

I see the main user of this book as someone who needs to use stats in his/her job, and is not all that comfortable with basic concepts and how stats should/should not be used or interpreted. I don't see this as being much help to someone who is taking a stats course at anything above the junior high (or perhaps high school) level.

Granted, some of the book is more filler than instructive. I found the chapters on graphics to be rather useless - the space could have been put to better use by having additional examples for some of the more complicated routines, such as regressions.

But overall, a very good primer to have at hand if you're a business stat user and it has been a while since you sat in a stats course.
13 internautes sur 14 ont trouvé ce commentaire utile 
Book is really helpful for intro statistics classes 24 janvier 2012
Par anneast - Publié sur
Format: Broché Achat vérifié
I bought this book in a panic of my statistics class that started in January. Read the whole book before christmas break was over.When the class actually started I found it to be a great reference, when I was unclear on some of my lecture materials. This book offers a real easy to understand, everyday situation that allows an individual to relate to statistics. Good read, even better price.
8 internautes sur 9 ont trouvé ce commentaire utile 
Gets the job done, very light on theory 3 février 2014
Par Amazon Customer - Publié sur
Format: Broché Achat vérifié
UPDATE: I'm knocking this down to three stars. After finishing a very tough statistics course, I started browsing this book again, and I realized that the section on "comparing two population proportions" makes no mention at all of having to meet a success-failure condition (which is mentioned for a single-proportion hypothesis test). In fact, the example regarding the drug Adderall does not meet this condition. You don't even have to calculate the pooled estimate to see this; we're told that 8 of 210 subjects receiving a placebo were "successes." This is an invalid test and the results are therefore meaningless. If the author sees this, I'd appreciate any feedback in the comments.

ORIGINAL REVIEW: I'm an old geezer who has found that he needs to dive back into statistics late in life. I never had any stats classes in college, though I did have calculus and one linear algebra class. Since then, I've learned a fair amount about statistics on my own, but that was a long time ago.

I originally got the same author's "Statistics Essentials for Dummies" book because I got the "Calculus Essentials for Dummies" book some months ago and was floored by how good it was. The essential statistics book let me down, largely because it moved too quickly, by which I mean the author sometimes waved a magic wand over a topic, threw out a formula, and that was that. I could plug in numbers but had no understanding.

This book suffers from that problem to a degree, but it provides a somewhat higher level of detail. A typical example is the standard deviation. Like many beginner texts, this one shows how to calculate it, but doesn't explain how it was developed, who came up with the idea for it, or why. The author does mention, at one point, that the distance from the point of inflection on a normal distribution curve to the mean is a single standard deviation, but that's as far as she goes. This is tantalizing; I would really love to understand *why* that is so. There is no time for that in a book of this scope. That means this is a beginning text for learning to apply statistical methods, not a book to explain the theory behind those methods.

Anyway, I plowed through the whole thing in the course of a headache-inducing weekend, and by that time, I had achieved my first milestone, being able to compute a simple linear regression. Because I moved so fast, there are doubtless some concepts that haven't stuck permanently, and I'll need to review. But the fact remains that, in a single weekend, I got through random variables, binomial and normal distributions, hypothesis testing, confidence intervals, z-tables, t-tables, and finally, linear regression. I was one happy geezer when I closed the book.

So it was worth the modest purchase price. And it presented a relatively painless introduction to the topic, without on the one hand diving into abstract mathematical proofs (there are no proofs of any kind), or on the other, leaping over large topics with no explanation whatever.

At least one other reviewer noted that the book is repetitive. That's true. For example, the author harps on the dangers of not investigating surveys and polls you read about in the press far too often. If you didn't already know not to do that, you probably wouldn't be interested in learning statistics anyway. These and other oft-repeated topics could have been replaced by more substantive examples and explanations.

But I can apply all of the principles and formulas described in the book--in fact, I did, several times, while reading it--and I've gotten a good bootstrap on learning statistics. My personal goal is to go far beyond this book, to learn about machine learning, and apply those concepts both in R and in programming. But to get there, I had to start with the basics. I think this was a good, but maybe not great, place to start. I have now bought Statistics for Dummies II, because it covers other topics, including logistic regression, that I'm interested in.
8 internautes sur 9 ont trouvé ce commentaire utile 
This book saved me in college statistics 5 mai 2014
Par Gabriel Di Colla - Publié sur
Format: Broché
When I took statistics in college there was no book assigned. And from past experiences, the "For Dummies" books explain concepts better than my college textbooks. So I ordered it, and it helped me tons! It well explained concepts, was great to reference, and easy to understand.

I often have to use statistics for data analysis for my other classes, (I studied Political Science and Sociology) and this book was great to have on hand to reference. I recommend.
8 internautes sur 9 ont trouvé ce commentaire utile 
Not what I was looking for 11 octobre 2013
Par Michell R. Lindsey - Publié sur
Format: Format Kindle Achat vérifié
I had hoped for a book that could help me through my statistics class and help me figure out how to work the problems etc. and this book had been recommended to me. It hasn't really been much of a help though and while it explains various statistical terms there isn't much on how to work statistics problems.
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