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by Richard DeVeaux,Paul Velleman,Richard D. De Veaux

  • ISBN: 032110935X
  • Category: Math & Science
  • Author: Richard DeVeaux,Paul Velleman,Richard D. De Veaux
  • Subcategory: Mathematics
  • Other formats: lrf rtf txt docx
  • Language: English
  • Publisher: Addison-Wesley; Preliminary edition (July 15, 2002)
  • Pages: 576 pages
  • FB2 size: 1889 kb
  • EPUB size: 1133 kb
  • Rating: 4.9
  • Votes: 524
Download Intro Stats, Preliminary Edition fb2

Richard D. DeVeaux is an internationally known educator and consultant. He has taught at the Wharton School and the Princeton University School of Engineering, where he won a Lifetime Award for Dedication and Excellence in Teaching

Richard D. He has taught at the Wharton School and the Princeton University School of Engineering, where he won a Lifetime Award for Dedication and Excellence in Teaching. Since 1994, he has been Professor of Statistics at Williams College.

Paul Velleman (Cornell University) is the only statistician to win the EDUCAUSE award for innovating technology for learning.

Ships from and sold by textbooks source. Paul Velleman (Cornell University) is the only statistician to win the EDUCAUSE award for innovating technology for learning. The developer of ActivStats® multimedia software, Data Desk® statistics software, and the DASL online archive of teaching datasets, his understanding of using and teaching with technology informs much of the book’s approach. David Bock (Cornell University) won awards as a high school teacher of AP calculus and statistics and was a grader for the AP Statistics program from its inception.

Richard D. Paul F. Velleman has an international reputation for innovative Statistics education. His real-world experiences and anecdotes illustrate many of this book’s chapters. Dick holds degrees from Princeton University in Civil Engineering (. and Mathematics (. and from Stanford University in Dance Education (. and Statistics (P. where he studied dance with Inga Weiss and Statistics with Persi Diaconis.

Norean D. Sharpe, Richard D. De Veaux, Paul F. Velleman. Скачать (pdf, 2. 0 Mb).

Chapter 10 HW - Solution manual Intro Stats.

Professors Norean Sharpe (Babson College), Dick De Veaux (Williams College), and Paul Velleman (Cornell .

Professors Norean Sharpe (Babson College), Dick De Veaux (Williams College), and Paul Velleman (Cornell University) have teamed up to provide an innovative ne. .

The consistent Think/Show/Tell model for worked examples reinforces thinking about how to approach a statistics problem, showing how to solve it, and reporting the conclusion in the context of the problem. De Veaux’s most popular book is Intro Stats.

Richard De Veaux holds degrees in Civil Engineering (. Paul Velleman has taught statistics at Cornell University for 22 years. He is the co-author of the book ABC's of Exploratory Data Analysis. Princeton), Mathematics (. Princeton), Physical Education (. Stanford; Specialization in Dance) and Statistics (P. He has taught at the Wharton School, the Princeton University School of Engineering, and, since 1994, has been a professor in the Mathematics and Statistics Department of Williams College.

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Reviews about Intro Stats, Preliminary Edition (7):
I usually do not write reviews but this book has done a lot for me so I had to show my grattitude:

In my desperation, I tried both Statistics for dummies and Statistics demystified series, but without success (not blaming the books just my extreme difficulty with math generally)

This book however changed it all, it has a GREAT method of breaking down and simplify both mathematical concepts and theoretical and practical application concepts. Its loaded with examples and the authors will step by step walk you through examples illustrating both how to think and how to preform the calculations. I also Love the layout of each page and wish all academical book had the same.

Also this book covers very basic concepts to advanced and I was able to master statistics in a way I never thought I could
My problem is less with the text than with the Pearson MyLab garbage that came with it. Basically busy work instructors hand out so they have *something* called "homework" to grade. I get the logistics of why many turn to this method, but its a serious pedagogical failing (but then actual instruction isn't the goal anymore - it's cramming as many asses into seats as possible, who cares if they learn!?). If you're taking a class on stats (or any subject matter), avoid any that insist on using Pearson's online trash and look for smaller ones (as they're less likely to rely on this scam).
greed style
The ad for this book is correct. This is the book that is required for my stats 211 class at my college. Unfortunately I realized this book does not include the ONLINE CODE for the online assignments. My college book store sells this book for $180 with the online code and I thought I got a deal buying this from Amazon thinking the code was included. The ad says nothing about the online code. If it doesn't say anything about an online code, that means it's NOT included (lesson learned...). If you need the online code, get it directly from the website your college instructor give you. You will save money and get an ebook with a little more for your money. If you don't need the code, Amazon offers a great price for the textbook.
Had to pay for the MyStatLab accompanying this book and it is terrible. The videos are distracting because they are so stupid. If you need videos to understand material, I highly suggest talking to your professor about getting extra help.
The text is usually good and understandable but the exercise parts are partly dubious. It's often hard to solve the problems by yourself. The book comes with the solutions for all odd numbered tasks but they lack explanations how to get to the desired results. Try to solve the problems in chapter 17 (Probability Models) and you will see what I mean. I bought this older edition because the new one was too expensive. In comparison, however, there is not much of a difference. A few new tasks are added, others revised, or eliminated in the new edition, but not significantly.
First off, if you never taken statistics before, this is not the easy stats of simple dice and poker probabilities. Treat any stats course that uses this book with the same respect as a calculus course (i.e. it's a bad idea to take stats and calc in the same semester). The first few chapters start light, mostly explaining normal distributions, correlation, regression, etc; easy enough. After a few chapters you start dealing with geometric, binomial, and Poisson distributions, which is a little bit harder, but doable. This is about where you have to remember a lot of formulas (e.g. formula for standard deviation is different for each distribution: it's sqrt(q/p^2), sqrt(npq), sqrt(lambda), respectively). And by around chapter 20 and onwards the material is really thick (at least for me); so keep up.

The book is 31 chapters long (your class may not cover the whole book; our class only went up to 26); each chapter being about 30 pages long, not counting end of chapter notes and exercises. Language of the book is easy to understand; not overly technical, mostly plain English. At the end of any chapter containing calculations, there's a section on how to do the calculations on different technology (TI-83/84, TI-89, SPSS, and other software). Pay extra attention to this section, it'll make your life easier (way faster than hand calculating) if your professor allows technology in the classroom. The back of the book contains answers for odd-number questions, and also various stats tables (for those who prefer hand calculations). Also note, the book contains yellow highlights that's printed by the publisher; don't worry, no one marked up the book you bought. I guess the author wanted to be extra sure that you knew which points were the important ones.
It was alright. I learned the material, I passed the class. It was anything but easy, and I believe my class only covered up to about chapter 20 (as it is a two-parter course). While it appears others liked the conversational nature of the text, I at times found it a bit uncomfortable as it felt a bit tangential. It did not however get terribly bad with this, and stayed on topic, I just did not find it a pleasurable read. Still, it was informational, gave clear examples (although in my learning style I may have preferred more variable examples).

Overall, it's a statistics book, it did its job, fairly well in fact, there's not a great deal else to expect from it.
This is a fantastic Stat textbook. It's pretty much the only textbook I can actually sit down and read like a novel; it's a pleasure to read and is written very conversationally. The examples are great and presented in a very clear and easy-to-understand manner.
I originally bought this for a specific class, but this textbook could help your understanding of Statistics whether it's your class' textbook or not. I highly recommend it.

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