[No longer publicly accessible] 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**: 7,705

[No longer publicly accessible] 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.

From the Preface:

Update:

The book is no longer publicly accessible through the book's webpage at The Department of Statistics, Western Michigan University.

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.

Update:

The book is no longer publicly accessible through the book's webpage at The Department of Statistics, Western Michigan University.

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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.

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.

Professor in the Department of Statistics at Western Michigan University.

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