Essential Statistics: 4th Edition (Paperback) book cover

Essential Statistics

4th Edition

By D.G. Rees

Chapman and Hall/CRC

384 pages

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Description

An introductory text for students taking a first course in statistics-in fields as diverse as engineering, business, chemistry, and biology-Essential Statistics: Fourth Edition thoroughly updates and enhances the hugely successful third edition. It presents new information on modern statistical techniques such as Analysis of Variance (ANOVA), and software such as MINITAB™ for WINDOWS.

An experienced former lecturer, the author communicates to students in his trademark easy-to-follow style. Keeping complex mathematical theory to a minimum, Rees presents a wealth of fully explained worked examples throughout the text. In addition, the end-of-chapter Worksheets relate to a variety of fields-enabling students to see the relevance of the numerous methods to their study areas. Essential Statistics: Fourth Edition emphasizes the principles and assumptions underlying the statistical methods, thus providing the tools needed for students to use and interpret statistical data effectively.

Reviews

"This book is a first primer in statistics… for the occasional user or newcomer to the ideas in statistics this book contains everything you will probably ever need to know."

-Journal of the Operational Research Society, 2003

"Anyone who wants to begin learning statistics should be delighted with this book."

-Journal of Quality Technology

"…a very interesting introductory book on collecting, summarizing, analyzing, and interpreting data."

-Biometrics

"The information is concise and easily understood…(it) would help plan forthcoming projects."

-Hospital Doctor

Table of Contents

Preface

What is Statistics?

Some Statistical Notation

Summarizing Data by Tables and by Graphical Methods

Summarizing Data by Numerical Measures

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Samples and Populations

Confidence Interval Estimation

Hypothesis Testing

Nonparametric Hypothesis Tests

An Introduction to the Analysis of Variance (ANOVA)

Association of Categorical Variables

Correlation of Quantitative Variables

Regression Analysis, an Introduction

Goodness-of-Fit Tests

Appendix A Statistical Formulae

Appendix B Solutions to Worksheets

Appendix C Statistical Tables

Appendix D Glossary of Symbols

Appendix E Introduction to Minitab for Windows

Index

Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General