Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics

by David M. Levine

The Completely Updated Guide for Everyone Who’s Ever Been Afraid of Statistics!

The easy, practical, up-to-date introduction to statistics–for everyone! Thought you couldn’t learn statistics? You can–and you will! One easy step at a time, this fully updated book teaches you all the statistical techniques you’ll need for finance, quality, marketing, the social sciences, or anything else! Simple jargon-free explanations help you understand every technique. Practical examples and worked-out problems give you hands-on practice. Special sections present detailed instructions for developing statistical answers, using spreadsheet programs or any TI-83/TI-84 compatible calculator. This edition delivers new examples, more detailed problems and sample solutions, plus an all-new chapter on powerful multiple regression techniques. 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!

Here’s Just Some of What You’ll Learn How to Do...

• 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

About the Web Site

Download practice files, templates, data sets, and sample spreadsheet models–including ready-to-use solutions for your own work! ftpress.com/youcanlearnstatistics2e

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

293 pages, Kindle Edition

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.