Even You Can Learn Statistics A Guide for Everyone Who Has Ever Been Afraid Of Statistics One easy step at a time, this book will teach you the key statistical techniques you'll need for finance, quality, marketing, the social sciences, or just about any other field. Each technique is introduced with a simple, jargon-free explanation, practical examples, and hands-on guidance for solving real problems with Excel or a TI-83/84 series calculator, including Plus models. Hate math? No sweat. You'll be amazed how little you need! For those who do have an interest in mathematics, optional "Equation Blackboard" sections review the equations that provide the foundations for important concepts. David M. Levine is a much-honored innovator in statistics education. He is Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (CUNY), and co-author of several best-selling books, including Statistics for Managers using Microsoft Excel, Basic Business Statistics, Quality Management, and Six Sigma for Green Belts and Champions. Instructional designer David F. Stephan pioneered the classroom use of personal computers, and is a leader in making Excel more accessible to statistics students. He has co-authored several textbooks with David M. Levine. Here's just some of what you'll learn how to do... The easy, practical introduction to statistics–for everyone! Thought you couldn't learn statistics? Think again. You can–and you will! Complementary Web site Downloadable practice files at
Statistics; the mere mention of this subject is enough to send some people into paroxysms of terror. Fear not though, the amazing duo of David Levine and David Stephan have this in good hands, explaining complicated concepts of statistics in a manner that even someone like me can understand.
Even You Can Learn Statistics is a textbook. It makes no secret of this, but there are still problems with it. First of all, the book has a lot going for it. The explanations are in a manner that makes them easy to understand. Each variable, equation, and graphing method is explained clearly. The book has little sections that show how to use a calculator or a spreadsheet program to solve the problems. Although the book states that you don’t need to have the math sections to understand the concept it still contains the math behind it for the people who like that sort of thing. The book also has a series of problems and questions with solutions following each chapter to test your comprehension.
That isn’t to say that the book is perfect. My biggest complaint is the location of the solutions to the problems. They have them immediately following the problems, sometimes on the opposite page. The book is limited in what type of calculator it uses, focusing on the Texas Instruments TI-83 or TI-84 calculator lines. The spreadsheet programs it uses are Microsoft Excel or OpenOffice.org. However, those are the only real detriments I can think of.
I did enjoy this book. I took it out from the library expecting a standard supplemental textbook, but it seems I got a bit more.
As a guy who dropped out of his Stats class in college, then went on to sell statistical analytics software, this was very helpful in working through the various disciplines. Easy to understand and read.
I picked this up to help me with writing my scientific papers years after I've taken a statistics class.
This book does a very good job clarifying what each form of analysis accomplishes. While I wish it was a bit more thorough, it's been an excellent jumping off point for further research.