Industrial-Sized Deals TextBTS15 Shop Women's Handbags Learn more nav_sap_SWP_6M_fly_beacon $5 Albums $5 Off Fire TV Stick Off to College Essentials Shop Popular Services pivdl pivdl pivdl  Amazon Echo Starting at $99 Kindle Voyage Big Savings in the Amazon Fall Sportsman Event STEM Toys & Games

Statistics in Plain English, Third Edition Kindle Edition

76 customer reviews
ISBN-13: 978-0415872911
ISBN-10: 041587291X
Why is ISBN important?
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Rent from Amazon Price New from Used from
"Please retry"

Editorial Reviews


"This book delivers on the promise of its title; it is the most clear and engaging communication of the basic principles of statistics that I have seen to date. It is a positive outlier that will greatly benefit teachers and students alike." - Andrew J. Elliot, University of Rochester, USA

"Statistics in Plain English is a gift to students, teachers, and researchers. Urdan clearly explains statistical topics using straightforward, conversational language. The book is particularly unique because it covers everything from basic statistical principles to complex multivariate techniques, all in an extremely user-friendly manner." - Eric M. Anderman, The Ohio State University, USA

"This approachable book provides an excellent introduction to statistical principles and terminology. Urdan clearly understands the bewildering experience of novices in the domain, and he smoothes the path with his clear prose and relevant examples." - Avi Kaplan, Temple University, USA

"This is by far… the best statistical "primer" on the market today and I recommend it widely to students as well as colleagues…It is affordable and compact….[it] is appropriate for students at either the undergraduate or graduate level and it is generic enough…to be useful across a variety of disciplines… His manner of explaining concepts is far superior to most textbooks on the market." Catherine A. Roster, University of New Mexico, USA

"A well sequenced, well organized introduction to quantitative data analysis that does not rely on cookbook mathematics and equation-heavy presentations of statistical concepts, but instead focuses on conceptually oriented textual descriptions." - Jenefer Husman, Arizona State University, USA

About the Author

Timothy C. Urdan is a Professor in the Department of Psychology at Santa Clara University. He received his Ph.D. in Education and Psychology from the University of Michigan in 1994 where he received several honors awards including the School of Education Merit Award, the Horace H. Rackham Predoctoral Fellowship, and the Burke Aaron Hinsdale Scholar in 1995. Since 2001, he has served on the editorial board for Contemporary Educational Psychology and the Journal of Educational Psychology. Dr. Urdan is the co-editor of two book series, one on Adolescence and Education and the other on Motivation and Achievement and of the forthcoming Educational Psychology Handbook.

Product Details

  • File Size: 5762 KB
  • Print Length: 224 pages
  • Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
  • Publisher: Routledge; 3 edition (January 11, 2011)
  • Publication Date: January 11, 2011
  • Sold by: Amazon Digital Services, Inc.
  • Language: English
  • ASIN: B004RM9VSY
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Lending: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Amazon Best Sellers Rank: #51,091 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
  •  Would you like to give feedback on images?

More About the Author

Discover books, learn about writers, read author blogs, and more.

Customer Reviews

Most Helpful Customer Reviews

66 of 69 people found the following review helpful By Epidemiology student on December 31, 2010
Format: Paperback Verified Purchase
I had been looking for a basic text in biostatistics which explained clearly the conceptual framework of the topic. I wanted the math to be a secondary component, and not the primary method of teaching. I bought 5 or so introductory texts in order to find this one. This is one of the best teaching texts I have ever used, period. But to stay on topic, I will only say this: if you want a great introductory text on statistics, and you want to understand what your computer is calculating for you, read every page of this book. The other good news, is that it is very well written, and you could finish the book in just a few sessions.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
36 of 37 people found the following review helpful By Tyler T. Vidricksen on January 25, 2011
Format: Paperback
Desperate for a description of regression that was "in plain English" (see what I did there with that pun?), I picked this book up. Man... I wish I had this book for my first quarter of statistics course. You'll find all sorts of no nonsense descriptions of statistical methods. My favorite part of this book is how it refers you to previous chapters when it occasionally does drop technical language from statistics (in case you forgot). This feature makes the book an excellent reference material. I suggest you drop the extra money and get this book (along with the book your school requires you to buy with your statistics course). It will save you lots of headaches and time. It is well worth your money.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
40 of 44 people found the following review helpful By Todd on July 15, 2013
Format: Kindle Edition Verified Purchase
A very helpful primer/intro to statistics. Generally well-written and intuitively presented. It succeeds where most introductory texts fail: the author has a genuine understanding of how and in what way statistics are simply not intuitive to the average individual. He keeps the math and greek symbols to a minimum, focusing on simple illustrative examples that help build intuition.

So why the average review? I'd really like to give this book a higher grade. The problem is there are too many errors and inconsistencies that make reading it a frustrating experience. It strikes me as a book that was written by someone who is knowledgeable and passionate about the subject and was able to devote a huge amount of time towards the project. But then, having gotten 97% of the way there, the editing and proofing process was not given the same attention to detail.

I read the Kindle version of the 3rd edition which doesn't include page numbers, so unfortunately my examples below refer to locations. (Incidentally, as with many Kindle editions, there is a very large number of additional formatting issues and typos that further distracted from the reading experience. My opinion is that responsibility for this type of problem is shared between the publisher, the author, and Amazon. Examples below are of problems that I assume exist in both the Kindle and traditional versions.)

Chapter 4, location ~1131:
"A full 50% of the distribution falls between the mean and 1 standard deviation above the mean in this group of scores (see Figure 4.4)"
-> Figure 4.4 doesn't show this

Chapter 5, location ~1233:
"If I told you that I had a z score of 1.0 on my last spelling test, what would you think of my performance? What you would know for sure is that...
Read more ›
5 Comments Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
39 of 44 people found the following review helpful By Shyam Goli on December 15, 2011
Format: Kindle Edition Verified Purchase
I work as a Data Analyst and deal with statistics on a daily basis. I am expected to know all the models and algorithms. Although statistical software does everything for me, figuring out the numbers the software chews out becomes the tricky part. I majored in Biotechnology and was alien to these statistics for the major part of my life. Long story short, I required a solid foundation guide that would help me get acclimatized to the concepts.

Lots of Google and Amazon searches later, I stumbled upon this book and took a blind leap of faith (metaphor for 20 bucks) after reading 4 reviews. And boy, am I a happy camper? This book is not a text book and makes no claims to be one. It acts either as an introduction into the world of statistics for a totally fresh person or as a quick review for someone who knows the stuff but needs a quick refresh. If you know what I am talking about, you'd understand that statistical concepts can get quite confusing.

I recommend this book to anyone who wants to shed the initial fear of statistics. The language is lucid with explanation in as much plain english as possible. Numerous examples at the turn of every page ranging from everyday situations for quick grasping to the necessary complicated ones. It covers a lot, if not all of the basic stuff. Advanced topics are left out, and with good reason.

Deserves a 5 star! Happy number crunching!

PS: I got the kindle version. Formatting is fine with no discernible errors.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
20 of 22 people found the following review helpful By G. on March 22, 2012
Format: Paperback Verified Purchase
I think I can say, without fear of hyperbole, that this is the best math book in the history of the entire universe. I would even go on to suggest that the fact that there are only six reviews of the book so far, instead of six hundred, hints at the biggest remaining hurdle in the current state of mathematical education. When we treat math as hard, as an academic "trial by fire," we tend to forget how to make it *easy* - by simply explaining what we're doing and why.

The author approaches instruction with the assumption that all humans can understand and benefit from statistical techniques. By assuming that, he makes it true. Don't find math interesting for its own sake? No problem: this isn't a book about *math,* as such, it's a book about *using* math. The author lays out lots of context and many straightforward and interesting examples, walking you through how to make intelligent decisions about approaching problems. The chapters are short, which gives you a nice feeling of accomplishment and plenty of breaks. He not only defines every term and every symbol he uses -- which is already amazing -- but the new terms and definitions are summarized at the end of each chapter. He even humanizes the experience by speaking in the first person, expressing personal preferences, and even cracking the occasional joke. It's like talking about math over tea with a good friend.

In the modern data space, there's a great shortage of people who have a comfortable intuition for stats. If this book were in every undergraduate class, I'd wager that shortage would just go away.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again


There are no discussions about this product yet.
Be the first to discuss this product with the community.
Start a new discussion
First post:
Prompts for sign-in

What Other Items Do Customers Buy After Viewing This Item?