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**: 2,334

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:

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.

Tweet

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.

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Microsoft .NET
Rexx
Perl
PHP
Python
R
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors