Statistics and Data Analysis

Statistics and Data Analysis

This book covers basic descriptive statistical and graphical procedures for analyzing data sets. It is not an introductory statistical methods book, but knowledge of its content will help prepare students for a course in methods.

Tag(s): Statistics

Publication date: 31 Dec 2001

ISBN-10: n/a

ISBN-13: n/a

Paperback: 254 pages

Views: 1,560

Type: Textbook

Publisher: n/a

License: Standard Copyright License

Post time: 15 Nov 2016 08:00:00

Statistics and Data Analysis

Statistics and Data Analysis This book covers basic descriptive statistical and graphical procedures for analyzing data sets. It is not an introductory statistical methods book, but knowledge of its content will help prepare students for a course in methods.
Tag(s): Statistics
Publication date: 31 Dec 2001
ISBN-10: n/a
ISBN-13: n/a
Paperback: 254 pages
Views: 1,560
Document Type: Textbook
Publisher: n/a
License: Standard Copyright License
Post time: 15 Nov 2016 08:00:00
From the Preface:
Abebe, Daniels, Kapenga, and McKean wrote:This is the text book for Stat 160 (now Stat 1600), Statistics and Data Analysis, which is a course offered by the Department of Statistics at Western Michigan University. Stat 160 is a first course in Statistics. It is an online course; hence, for a full idea of what the course is about, the reader is invited to go to the web page, which is produced and maintained by the Statistical Computation Lab (SCL) at Western. The main purpose of Stat 160 is to present some of the main concepts in Statistics and Probability and to show students how useful statistics is in their world. This course will give the students a basic understanding of statistics, which will enable them to see how statistics can help them to make better decisions as consumers, students, parents or professionals. The course is not designed to be a statistical methods course.

The quantitative prerequisite for this book is essentially high school algebra, Math 110 (now Math 1100) at Western Michigan University. It does not make use of any higher math and it is not formula driven. In the course, the computer does the heavy computation, not the student.




About The Author(s)


Mathematics and Statistics Professor and a member of the Statistics group in the Department of Mathematics and Statistics at Auburn University.

Asheber Abebe

Mathematics and Statistics Professor and a member of the Statistics group in the Department of Mathematics and Statistics at Auburn University.


John E. Daniels is Associate Professor of Statistics in the Department of Mathematics at Central Michigan University. His professional interests​ are in environmental statistics and spatial statistics​.

John E. Daniels

John E. Daniels is Associate Professor of Statistics in the Department of Mathematics at Central Michigan University. His professional interests​ are in environmental statistics and spatial statistics​.


Associate Professor in the Department of Computer Science at Western Michigan University. Research interests include scientific parallel computations, graphics, and visualization.

John A. Kapenga

Associate Professor in the Department of Computer Science at Western Michigan University. Research interests include scientific parallel computations, graphics, and visualization.


Professor in the Department of Statistics at Western Michigan University.

Joseph W. McKean

Professor in the Department of Statistics at Western Michigan University.


Book Categories
Sponsors
Icons8, a free icon pack