Explores the basic ideas behind statistics, such as populations, samples, the difference between data and information, and most importantly sampling distributions.

Tag(s): Statistics

Publication date: 01 Dec 2010

ISBN-10: n/a

ISBN-13: n/a

Paperback: 82 pages

Views: 8,530

Type: Textbook

Publisher: Global Text Project

Post time: 04 May 2017 08:00:00

Explores the basic ideas behind statistics, such as populations, samples, the difference between data and information, and most importantly sampling distributions.
Tag(s): Statistics
Publication date: 01 Dec 2010
ISBN-10: n/a
ISBN-13: n/a
Paperback: 82 pages
Views: 8,530
Document Type: Textbook
Publisher: Global Text Project
Post time: 04 May 2017 08:00:00
Summary/Excerpts of (and not a substitute for) the Creative Commons Attribution-ShareAlike 4.0 International:
You are free to:

Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material for any purpose, even commercially.

The licensor cannot revoke these freedoms as long as you follow the license terms.

Excerpts from the Preface:
Thomas K. Tiemann wrote:I have been teaching introductory statistics to undergraduate economics and business students for almost 30 years. When I took the course as an undergraduate, before computers were widely available to students, we had lots of homework, and learned how to do the arithmetic needed to get the mathematical answer. When I got to graduate school, I found out that I did not have any idea of how statistics worked, or what test to use in what situation. The first few times I taught the course, I stressed learning what test to use in what situation and what the arithmetic answer meant.

As computers became more and more available, students would do statistical studies that would have taken months to perform before, and it became even more important that students understand some of the basic ideas behind statistics, especially the sampling distribution, so I shifted my courses toward an intuitive understanding of sampling distributions and their place in hypothesis testing. That is what is presented here — my attempt to help students understand how statistics works, not just how to "get the right number".