Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics

by David M. Levine, David F. Stephan

Thought you couldn't learn statistics? You can - and you will! "Even You Can Learn Statistics and Analytics, Third Edition" is the practical, up-to-date introduction to statistics - for "everyone!" Now fully updated for "big data" analytics and the newest applications, it'll teach you all the statistical techniques you'll need for finance, marketing, quality, science, social science, and more - one easy step at a time. Simple jargon-free explanations help you understand every technique, and extensive practical examples and worked problems give you all the hands-on practice you'll need. This edition contains more practical examples than ever - all updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample models - including complete solutions you can put right to work! Learn how to do all this, and more:
Apply statistical techniques to analyze huge data sets and transform them into valuable knowledge
Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3
Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics
Use probability and probability distributions
Work with sampling distributions and confidence intervals
Test hypotheses with Z, t, chi-square, ANOVA, and other techniques
Perform powerful regression analysis and modeling
Use multiple regression to develop models that contain several independent variables
Master specific statistical techniques for quality and Six Sigma programs
"Hate" math? No sweat. You'll be amazed at how little you need. "Like" math? Optional "Equation Blackboard" sections reveal the mathematical foundations of statistics right before your eyes. If you need to understand, evaluate, or use statistics in business, academia, or anywhere else, "this" is the book you've been searching for!

Genres: Nonfiction, Reference, Business, Textbooks, Mathematics, Education, Science

384 pages, Paperback

First published September 14, 2004

Reviews

[William Schram · Rating 4 out of 5]

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.

[Steve Peterson]

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.

[The_Bailey · Rating 4 out of 5]

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.

[Thành Thương · Rating 4 out of 5]

Để đọc Basic thôi thì siêu oke

[Cristina · Rating 3 out of 5]

Not bad overview

This was a good book to read to accompany my stats class. If I wasn't also taking the class I think this book might have been even more challenging.